Every source GILD analyzed, newest first. Each says who the source is, how it knows, whether it still applies and which findings it counts toward. Open a count to see only its sources.
Source
76 sources in All practitioners, with product documentation Showing all 76 sources
Negative
Hacker News comment by switchbak: Comparing Fireworks with Baseten for open-model speedHacker News comment
Finds Fireworks less strong lately and is having a better time on Baseten, where they see the speeds Fireworks advertises, though they have only just started there.
Counts toward
Mixed
Hacker News comment by verdverm: A team that selected Fireworks as its open-model vendorHacker News comment
When the commenter's team selected Fireworks, new models arrived in 1 to 2 days. In the last few months it has not kept up and asks users to request models in Discord, and its Ember-1 model, Kimi K3 tuned to think less, hallucinates badly in the commenter's use.
Mixed
Hacker News comment by eknkcHacker News comment
Muse Spark Open on Fireworks felt weaker than GLM 5.3 but was really fast, on the single large prompt they tried.
Counts toward
Positive
NativeOutput fails on Fireworks models despite Fireworks supporting response_formatGitHub issue
Fireworks accepts strict json_schema and json_object response formats: all 14 serverless models his account could reach, Kimi K3 and GLM-5.3 among them, returned valid JSON. The bug he reports is in Pydantic AI's Fireworks provider profile.
Positive
Hacker News comment by kelnosHacker News comment
Coding with GLM 5.3 Flash from Fireworks costs them US$1 to US$2 per day, so at most US$60 a month, against the US$100 a month Claude plan they used before.
Negative
Hacker News comment by switchbak: Trying Fireworks for speed against DeepSeek's own APIHacker News comment
Tried Fireworks for its advertised speed and found it mostly worse than DeepSeek's own service.
Counts toward
Mixed
Ran roughly 9 to 15B tokens a month on Fireworks with a 90 to 98% cache hit rate, which they call a big part of the economics. They are moving to self-hosting only because their one budget is US$10k of AWS Activate credits.
Positive
Hacker News comment by verdverm: A development team moving from Claude to open modelsHacker News comment
The commenter's team fully rolled out its custom PR review on glm-5.3-flash, and is moving developers who are still on Claude toward Fireworks and OpenCode.
Counts toward
Mixed
Hacker News comment by rapindHacker News comment
Ran DeepSeek V4.1 Flash on Fireworks with zero data retention and racked up more than US$100 in about 2 to 3 days, which they estimated at US$400 or more a month. Fireworks has since raised its prices and got slower, they say.
Negative
Hacker News comment by vardalabHacker News comment
Cache reads for GLM 5.3 Flash on Fireworks' API cost much more than for DeepSeek, so a simple run with an advisor model cost them US$3 in oversight.
Negative
Hacker News comment by WinstonSmith84Hacker News comment
Replacing a subscription model with DeepSeek V4.1 Flash burned about US$7 of tokens on Fireworks in a single day, more than their OpenAI subscription costs.
Negative
Hacker News comment by pkulakHacker News comment
Fireworks emailed them that it was raising the price by about 30%, and they expect to switch hosts.
Negative
A Fireworks CLI release stopped replacing Claude Code's built-in model slots, so his subagents could no longer run on custom Fireworks models. A collaborator on Fireworks' repository replied that the override is fixed in release 0.9.8.
Mixed
Hacker News comment by ofisboyHacker News comment
Uses Fireworks for a production app at low volume. The one complaint is that serverless reranking offers a single model, Qwen 8b, and it is quite expensive.
Mixed
Hacker News comment by svachalekHacker News comment
Fireworks can be great, they say, but it depends on the model and on the day.
Positive
Hacker News comment by josephcooneyHacker News comment
Asked DeepSeek V4 Flash 0731 running on Fireworks about Tiananmen Square and it described the 1989 protests and crackdown in full, which they found a reasonable answer. It is one prompt.
Counts toward
Positive
Hacker News comment by mark_l_watson: Experimenting with open models instead of buying a bigger local machineHacker News comment
Pays as they go on Fireworks for open-model inference, and however much they use it their monthly bill is between US$10 and US$40, much faster than a home rig.
Positive
Hacker News comment by vijucatHacker News comment
On Fireworks a cache hit costs only 20% of the input price, and uncached DSV4-0731 is US$0.14 per million tokens, so whole re-architecture projects cost them a few dollars. They found GitHub Copilot poor at using the cache.
Negative
GLM models on Fireworks fail with prompt_cache_retention errorGitHub issue
GLM-5.2 on Fireworks returned a 400 for the prompt_cache_retention parameter his coding agent sends by default, while other Fireworks models such as DeepSeek and Kimi worked with caching.
Mixed
He traces the cause to LiteLLM, which generated a random session id per request so cached tokens stayed at 0. Calling Fireworks without a per-request id returned 9007 cached tokens on the second and third identical calls.
Negative
Hacker News comment by bwfan123: Buying zero-data-retention inference directly from FireworksHacker News comment
Zero-data-retention hosts such as Fireworks do not disclose caching and tokens clearly, they say, so those hosts end up far more expensive than DeepSeek's own API.
Mixed
Hacker News comment by __jl__Hacker News comment
The commenter's team used open-weight models through Fireworks for a long time, Kimi K2.5 among them, and calls Fireworks a great provider that still had issues here and there. For its production app, OpenAI is now the best provider in the commenter's view.
Mixed
Fireworks providerGitHub issue
Asks the Maki coding agent to support Fireworks natively so his whole team can use the fast Kimi K3, and notes that Fireworks carries fewer models than OpenRouter.
Positive
Hacker News comment by drewnickHacker News comment
Moved one of their company's daily workflows to Kimi K3 on Fireworks, where it replaces two sales assistant positions for about US$50 a day for 14 million tokens in and out.
Mixed
Hacker News comment by lmf4lolHacker News comment
Fireworks launched a model a couple of hours earlier and it was already live on their platform. They regret that Fireworks deprecated its on-demand Flux image models.
Positive
Hacker News comment by pimeysHacker News comment
Has used GLM-5.2 a lot on Fireworks and never had rate-limit issues, and points to the priority tier if the load grows for evals.
Negative
Hacker News comment by bwfan123: Zero-data-retention access to DeepSeek modelsHacker News comment
Zero-data-retention providers of DeepSeek models, OpenRouter with ZDR guardrails and Fireworks among them, cost them 3x to 5x more than DeepSeek directly, which they call the price of ZDR.
Mixed
When a 3060 is faster than a 5060tiReddit post
Embedding one publication took 9 minutes on their local RTX 3060. Fireworks.ai and OpenRouter were about the same or slightly slower, with chunks sent one at a time, which they call possibly an area for improvement.
Counts toward
Positive
Hacker News comment by mark_l_watson: Daily work moved from Opus to an open modelHacker News comment
After a month of paying heavily for Opus, they get a lot done on GLM 5.2 running on Fireworks for about 15% of the money, and say everyone should run their own evals on their own work.
Positive
Hacker News comment by eliHacker News comment
Calls Fireworks solid, and says its fast variant suits buyers who care more about speed than cost, at about 2x the cost.
Counts toward
Negative
Billing has created unexpected financial risk while inference works reliably for short trialsPeerSpot review
The reviewer reports a sudden US$40,000 charge through AWS Marketplace with no spending cap, threshold alert or notification, billed as flat US$10,000 units at about 1,000 times the actual usage, and says the company filed a case. The reviewer rates the inference itself as fine.
Counts toward
Negative
Error trying to send messages via Fireworks model providerGitHub issue
Every message sent through Fireworks as the provider returned a 400 JSON Schema not supported error in the author's coding agent. The agent's maintainer replied that the error could not be reproduced.
Negative
Bug: Inflated Token Usage Reporting for accounts/fireworks/models/qwen3p6-plus with reasoning_effort="none"GitHub issue
One reasoning model on Fireworks reported 1229418586 total tokens for a query the author's team expected at 400 to 600, breaking their cost tracking, while their other Fireworks models reported correctly. A LangChain maintainer could not reproduce it because the model was not reachable on the maintainer's account.
Counts toward
Mixed
Model testing has become faster and fine-tuning now supports flexible customizationPeerSpot review
Values the catalog of 300-plus models and the fine-tuning options, but finds Fireworks very much more expensive than Groq, which she generally uses, with no free tier and weak image and video generation. PeerSpot gave her a gift card for the review.
Negative
Fireworks.ai models fail with 400 on tool-enabled requests via anthropic-messages APIGitHub issue
Every Fireworks model called through the anthropic-messages API returns a 400 when the request includes tools, because the endpoint does not accept eager_input_streaming or cache_control on tools.
Positive
Gaining faster, flexible AI workflows has made our team ship reliable features with confidencePeerSpot review
After six to eight months, his team sees about 20 to 30% lower latency on some endpoints and 15 to 25% savings depending on the model, which he calls meaningful. He finds documentation for advanced configs unclear and model behavior hard to debug. PeerSpot gave him a gift card for the review.
Negative
Hacker News comment by mips_avatarHacker News comment
Says hosts such as Fireworks that claim to deploy LoRAs at scale cannot do it, so they serve their app's base load on 3090s they run themselves, which saves them US$1,000 a month.
Negative
chore: temporarily redirect codestral 2508 to 2501 due to scalability problemsGitLab merge request
His merge request says Fireworks cannot scale GitLab's direct-route Codestral 2508 deployments, so requests go to the older 2501 deployment instead.
Positive
Hacker News comment by vuldinHacker News comment
Switched from Claude Code with Opus 4.5 to OpenCode with Kimi K2.5 from Fireworks. They never hit time-based limits now, and their spend went from well over US$100 per month to less than US$50 per month.
Positive
Reddit post by eteitaxivReddit post
Uses Fireworks almost exclusively because it is very fast and, in the poster's words, one of the only hosts that offers zero data retention with proper certification. Buyers can check Fireworks' own security pages for the certifications.
Mixed
Hacker News comment by extrHacker News comment
The speed through Fireworks is great, they say, but the open model they tried had to go back and fix type errors and broken tests far more often than Opus 4.5.
Negative
Hacker News post by mountainriverHacker News post
A supervised fine-tune of gpt-oss-20b on 10k records ran for 8 minutes and Fireworks billed them US$192, which they call a huge markup over renting GPUs.
Negative
invalid_request_error when using models from Fireworks AIGitHub issue
A plain completion with gpt-oss-120b on Fireworks works, but after a few agent steps Fireworks returns a 400 that rejects OpenAI message fields such as refusal and annotations. He is not sure whether any-agent or any-llm is at fault.
Negative
Context Length Mismatch for Kimi K2GitHub issue
Fireworks rejected a 40177-token prompt to Kimi K2 Instruct at a model maximum of 32767 tokens, though he read the context window as 128k to 131k tokens.
Negative
[Bug] Fireworks fine-tune error "Dataset ID: first character of id must not be a digit"GitHub issue
Fireworks' fine-tuning API rejects dataset IDs whose first character is a digit, so Kiln users retry until a UUID starts with a letter. He wants Fireworks to accept UUIDs, and if it will not, plans to prepend KILN-.
Counts toward, pending a recheck
Positive
Hacker News comment by keithwhorHacker News comment
Some OpenRouter providers gave them mangled outputs. Fireworks serverless was their best experience: fast, performant and less expensive. They had not tried custom deployments.
Negative
Using Cline with a third-party hosted DeepSeek-V3, spits out junk when editing filesReddit post
DeepSeek-V3 hosted on Fireworks worked for a while in Cline at a price they call certainly higher, then began writing part of each file followed by random characters and a truncation. They ask whether DeepSeek or the host is at fault.
Pages from Fireworks AI, used to check facts for every group.
Fireworks says serverless users are subject to minor latency and performance variability during high volume periods.
Fireworks Anthropic compatibility serves only POST /v1/messages and does not support Anthropic server side tools.
Fireworks deploys models on dedicated GPUs with fast autoscaling and minimal cold starts. Fireworks offers supervised and reinforcement fine-tuning of models up to 1T+ parameters. Fireworks lists 100+ supported models across text, vision, audio, image, and embeddings.
Fireworks tool calling (also known as function calling) enables models to select and use external tools based on user input, through OpenAI-compatible tool specifications.
Fireworks hosts embedding and reranking models, useful for tasks like RAG and semantic search, and its embedding service is OpenAI compatible.
The Fireworks Batch API processes large volumes of requests asynchronously at 50% off Serverless per-token prices. Not all models support the Batch API.
Fireworks vision-language models process both text and images in a single request, for uses including document analysis, chart interpretation and OCR, via serverless inference or dedicated deployments.
Fireworks' `auto` model ID picks a model for each new user turn. Closed models run on your own Anthropic or OpenAI account. To choose a model yourself, replace `auto` with its ID. When Fireworks' CLI connects Claude Code, Auto is the default model in `/model`.
Before you begin, create an API key in the Fireworks dashboard.
You can use the OpenAI Python client library to interact with Fireworks.
Fireworks documents building production AI agents on Fireworks with LangChain, LlamaIndex, CrewAI, AutoGen, and other open-source frameworks using the OpenAI-compatible API.
Fireworks lists LiteLLM (native fireworks_ai provider) and Helicone (Fireworks proxy and provider integration) among the gateways that connect to your Fireworks account.
Fireworks AI is a first-party inference provider inside Microsoft Foundry, with usage billed through Azure and counting toward your Microsoft Azure Consumption Commitment (MACC). On Microsoft Foundry, Fireworks PayGo deployments run in the US Data Zone only. Foundry PTU (Provisioned Throughput) deployments provide dedicated GPU capacity reserved for your workload, with global region availability.
By default, Fireworks deployments are multi-region, and Fireworks can move and spread them across regions as needed. Supported multi-regions are GLOBAL, US, CANADA, EUROPE and APAC. New accounts receive GPU quota for the GLOBAL multi-region only. The US, CANADA, EUROPE and APAC multi-regions and all single regions start at zero quota and must be granted by Fireworks. The `--region` flag pins a deployment to a single region, and a deployment with a `--region` you have no quota for is rejected at creation.
On Enterprise accounts, data residency restricts inference on the account to a single region. Contact your Fireworks representative if you need this enabled. The listed restriction is US, on `us.api.fireworks.ai`. For a region that is not listed, contact Fireworks sales.
Fireworks Serverless Inference is multi-tenant inference for popular open models running on Fireworks-managed infrastructure.
Fireworks Serverless text and vision prices are input / cached input / output in USD per 1M tokens. Ember-1 Standard is US$3.00 / US$0.30 / US$15.00. Fireworks embeddings are billed per 1M input tokens, at US$0.008 for base models up to 150M parameters.
Fireworks AI uses a usage-based pre-paid billing system: per token for serverless inference, per GPU usage time for on-demand deployments, and per training token for Managed Training.
If your balance reaches zero and Auto Reload is not enabled, usage pauses until you add credits. Contracted customers may have the option to move to post-paid billing.
When using Serverless, you may experience 429 Too Many Requests or 503 Service Overloaded. To avoid 429s, stay below the adaptive rate limits. To reduce the likelihood of 503s, upgrade to Priority tier.
All API usage on an account shares one request-throughput envelope: 10 RPM with no payment method or no credits, and 6,000 RPM (maximum) with a payment method and active credits. The 6,000 RPM cap applies account-wide as a fixed ceiling. When usage reaches 100% of the monthly spend limit, all API requests pause automatically across serverless inference, deployments, and training. This suspension does not apply to Enterprise accounts.
The inference error codes page says there are no account-level rate limits on dedicated and on-demand deployments, and that a 429 there indicates the deployment's processing capacity is saturated. The account quotas page says on-demand and dedicated deployments are not limited by adaptive serverless TPM upper bounds, and that their requests still count toward account-wide request limits.
By default, Fireworks supports Google SSO. If you have an enterprise account, Fireworks supports bringing your own identity provider using an OpenID Connect (OIDC) or SAML 2.0 provider. Coordinate with your Fireworks AI representative to enable the integration. SCIM provisioning is available for enterprise accounts and works with supported directory providers, including Okta, Microsoft Entra ID, and Google Workspace. Custom SSO must be configured before you can enable SCIM provisioning. To request SCIM enablement, contact your Fireworks AI representative, and Fireworks will enable Directory Sync for your account. API keys and service accounts are not blocked by SSO enforcement.
Fireworks has Zero Data Retention by default. Fireworks does not log or store prompt or generation data for any open models, without explicit user opt-in. For the Response API, with `store=True` (the default), stored conversation data is kept for up to 30 days. Setting `store=False` prevents any conversation data from being retained.
Fireworks has achieved all three ISO certifications covering security, privacy, and AI management: ISO 27001, ISO 27701 and ISO 42001. Fireworks lists SOC 2 Type II as certified. Fireworks is HIPAA compliant.
Audit logs are available for Enterprise accounts. Audit logs include data access logs. All read, write, and delete operations on storage are logged, normalized, and enriched with account context. You can view audit logs with the Fireworks CLI or retrieve them with the List Audit Logs API.
On-demand deployments give you dedicated GPUs for your models. On-demand deployments let you upload your own models (for supported architectures) from Hugging Face or elsewhere.
Fireworks serves fine-tuned models for the same price as base models. Fireworks is self-serve. Contact Fireworks for enterprise deployments.
Across every training surface, your training data is never used to train Fireworks-owned or shared models.
Source index
Every source GILD read, with the original address and the context used to count it. Open a finding to filter the full cards above. On smaller screens the index lists each source once by name, cohort and date; its full record above carries the address, context and findings.
| Source | Original URL | Author and context | Who | Published | Review date | Applies | Findings |
|---|---|---|---|---|---|---|---|
| Hacker News comment by switchbak: Comparing Fireworks with Baseten for open-model speedID fw-01 | Developer Communities | news.ycombinator.com/ | switchbak, Hacker News commenterself-described: Comparing Fireworks with Baseten for open-model speed | Individual builder | Published Oct 26, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by verdverm: A team that selected Fireworks as its open-model vendorID fw-02 | Developer Communities | news.ycombinator.com/ | verdverm, Hacker News commenterself-described: A team that selected Fireworks as its open-model vendor | Small product team | Published Oct 19, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by eknkcID fw-03 | Developer Communities | news.ycombinator.com/ | Ekin Koc (eknkc), kovan studioself-described: Trying a new open-weight release on launch day | Individual builder | Published Oct 15, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
NativeOutput fails on Fireworks models despite Fireworks supporting response_formatID fw-42 | Developer Communities | github.com/ | Tim Becker, Researcher at Theoriself-described: Typed agents on Pydantic AI with Fireworks-hosted models | Individual builder | Published Oct 12, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by kelnosID fw-04 | Developer Communities | news.ycombinator.com/ | kelnos, Core developer at Xfceself-described: Individual coding use, after a US$100 a month Claude plan | Individual builder | Published Oct 9, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by switchbak: Trying Fireworks for speed against DeepSeek's own APIID fw-05 | Developer Communities | news.ycombinator.com/ | switchbak, Hacker News commenterself-described: Trying Fireworks for speed against DeepSeek's own API | Individual builder | Published Oct 9, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Self-hosting Qwen3.8-Flash-Next (or a smaller alternative) for a heavy multi-agent Hermes setup on $10k of AWS credits, looking for options I've missedID fw-34 | Developer Communities | www.reddit.com/ | ar27111994, Reddit posterself-described: A multi-agent orchestrator moving to self-hosting paid with AWS Activate credits | Individual builder | Published Oct 4, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by verdverm: A development team moving from Claude to open modelsID fw-06 | Developer Communities | news.ycombinator.com/ | verdverm, Hacker News commenterself-described: A development team moving from Claude to open models | Small product team | Published Oct 2, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by rapindID fw-07 | Developer Communities | news.ycombinator.com/ | rapind, Hacker News commenterself-described: Agentic coding on a zero-data-retention host, with a 98 to 99% cache rate | Individual builder | Published Sep 29, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by vardalabID fw-08 | Developer Communities | news.ycombinator.com/ | vardalab, Hacker News commenterself-described: An agent setup with a stronger model as an advisor over an open worker model | Individual builder | Published Sep 24, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by WinstonSmith84ID fw-09 | Developer Communities | news.ycombinator.com/ | WinstonSmith84, Hacker News commenterself-described: Replacing a subscription coding model with an open model | Individual builder | Published Sep 23, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by pkulakID fw-10 | Developer Communities | news.ycombinator.com/ | pkulak, Engineer at Vevoself-described: Paying for a popular open model through Fireworks | Individual builder | Published Sep 22, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Claude Code subagents with the new feature "Claude Code keeps its own tier models with the Fireworks catalog added"ID fw-43 | Developer Communities | github.com/ | Mikael Koskinen, .NET and Azure developer (adafy.com)self-described: Running Claude Code subagents on Fireworks models through Fireworks' CLI | Individual builder | Published Sep 22, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by ofisboyID fw-11 | Developer Communities | news.ycombinator.com/ | ofisboy, Building frontier.legalself-described: A production app at low volume | Small product team | Published Sep 11, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by svachalekID fw-12 | Developer Communities | news.ycombinator.com/ | svachalek, Software engineering managerself-described: Choosing hosts for open-weight models | Individual builder | Published Sep 11, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by josephcooneyID fw-13 | Developer Communities | news.ycombinator.com/ | Joseph Cooney, software developerself-described: Testing how a hosted Chinese open-weight model answers | Individual builder | Published Aug 27, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by mark_l_watson: Experimenting with open models instead of buying a bigger local machineID fw-14 | Developer Communities | news.ycombinator.com/ | mark_l_watson, author and AI practitionerself-described: Experimenting with open models and choosing not to buy a bigger local machine | Individual builder | Published Aug 25, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by vijucatID fw-15 | Developer Communities | news.ycombinator.com/ | vijucat, Algorithmic trading developerself-described: Long agentic coding projects with prompt caching | Individual builder | Published Aug 8, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| GLM models on Fireworks fail with prompt_cache_retention errorID fw-44 | Developer Communities | github.com/ | Duc Nguyen, Senior Software Developer at Wealthsimpleself-described: A coding agent that sends OpenAI prompt-cache fields | Individual builder | Published Aug 5, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| [Bug]: fireworks session id is reset to a random string when header is not provided causing caching to not workID fw-41 | Developer Communities | github.com/ | Héctor Luaces (hluaces), Infrastructure engineer at Igaliaself-described: Calling Fireworks through a LiteLLM proxy and checking cache hits | Individual builder | Published Aug 3, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by bwfan123: Buying zero-data-retention inference directly from FireworksID fw-16 | Developer Communities | news.ycombinator.com/ | bwfan123, Hacker News commenterself-described: Buying zero-data-retention inference directly from Fireworks | Individual builder | Published Jul 31, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by __jl__ID fw-17 | Developer Communities | news.ycombinator.com/ | __jl__, Hacker News commenterself-described: A production app that ran open-weight models on Fireworks | Small product team | Published Jul 30, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Fireworks providerID fw-18 | Developer Communities | github.com/ | pimeys, twin.soself-described: A team that wants Fireworks as a native provider in its coding agent | Small product team | Published Jul 30, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by drewnickID fw-19 | Developer Communities | news.ycombinator.com/ | drewnick, Hacker News commenterself-described: A daily sales workflow moved to an open model | Small product team | Published Jul 29, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by lmf4lolID fw-20 | Developer Communities | news.ycombinator.com/ | lmf4lol, building personal AI agents at Bluehouseself-described: A platform that offers many models to its users | Small product team | Published Jul 27, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by pimeysID fw-21 | Developer Communities | news.ycombinator.com/ | pimeys, twin.soself-described: Heavy daily use and evaluation suites on serverless | Small product team | Published Jul 27, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by bwfan123: Zero-data-retention access to DeepSeek modelsID fw-22 | Developer Communities | news.ycombinator.com/ | bwfan123, Hacker News commenterself-described: Zero-data-retention access to DeepSeek models | Individual builder | Published Jul 19, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| When a 3060 is faster than a 5060tiID fw-36 | Developer Communities | www.reddit.com/ | MarcusAurelius68, Reddit posterself-described: Embedding publications for a RAG pipeline, one chunk at a time | Individual builder | Published Jul 16, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by mark_l_watson: Daily work moved from Opus to an open modelID fw-23 | Developer Communities | news.ycombinator.com/ | mark_l_watson, author and AI practitionerself-described: Daily work moved from Opus to an open model | Individual builder | Published Jul 7, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by eliID fw-24 | Developer Communities | news.ycombinator.com/ | eli, Co-Founder of Industry Diveself-described: Picking a serving tier | Technical leadership | Published Jun 30, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Billing has created unexpected financial risk while inference works reliably for short trialsID fw-38 | Review Sites | www.peerspot.com/ | reviewer2865477, PeerSpot reviewerself-described: A few weeks on the Pay-As-You-Go plan through AWS Marketplace | Small product team | Published Jun 26, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Error trying to send messages via Fireworks model providerID fw-46 | Developer Communities | github.com/ | Nyasha Chiroro, full stack web developerself-described: A coding agent with conditional tool schemas | Individual builder | Published Jun 3, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Bug: Inflated Token Usage Reporting for accounts/fireworks/models/qwen3p6-plus with reasoning_effort="none"ID fw-45 | Developer Communities | github.com/ | Hyacinth Ampadu, AI/Machine Learning Engineerself-described: Cost tracking from Fireworks usage metadata through LangChain | Small product team | Published May 28, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Model testing has become faster and fine-tuning now supports flexible customizationID fw-40 | Review Sites | www.peerspot.com/ | Chaheti Jha, PeerSpot reviewerself-described: One month of model testing and fine-tuning | Individual builder | Published May 5, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Fireworks.ai models fail with 400 on tool-enabled requests via anthropic-messages APIID fw-25 | Developer Communities | github.com/ | Hector Garcia (hectahertz), Bufferself-described: An Anthropic-format coding agent pointed at Fireworks | Individual builder | Published Apr 27, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Gaining faster, flexible AI workflows has made our team ship reliable features with confidenceID fw-39 | Review Sites | www.peerspot.com/ | Hussain Gagan, PeerSpot reviewerself-described: Summarization and internal-search APIs moved to open models on Fireworks | Small product team | Published Apr 20, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by mips_avatarID fw-26 | Developer Communities | news.ycombinator.com/ | mips_avatar, Building wanderfugl.comself-described: Serving an application-specific RL or LoRA model | Individual builder | Published Apr 16, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| chore: temporarily redirect codestral 2508 to 2501 due to scalability problemsID fw-27 | Developer Communities | gitlab.com/ | Omar Qunsul, Senior Backend Engineer, AI Coding, GitLab at the timeself-described: GitLab's code completions on on-demand Codestral deployments | Product or platform team | Published Mar 24, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by vuldinID fw-28 | Developer Communities | news.ycombinator.com/ | vuldin, Hacker News commenterself-described: Moving from a coding subscription to an open model | Individual builder | Published Feb 18, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Reddit post by eteitaxivID fw-37 | Developer Communities | www.reddit.com/ | eteitaxiv, Reddit posterself-described: Testing chat presets on open models through Fireworks and official APIs | Individual builder | Published Feb 15, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News comment by extrID fw-29 | Developer Communities | news.ycombinator.com/ | extr, Hacker News commenterself-described: Implementing specs on an enterprise TypeScript service | Individual builder | Published Jan 31, 2026 | Assessment reviewed Nov 1, 2026 | Current | |
| Hacker News post by mountainriverID fw-30 | Developer Communities | news.ycombinator.com/ | mountainriver, Hacker News posterself-described: A small supervised fine-tuning job | Individual builder | Published Sep 19, 2025 | Assessment reviewed Nov 1, 2026 | Still applicable | |
| invalid_request_error when using models from Fireworks AIID fw-31 | Developer Communities | github.com/ | HareeshBahuleyan, Mozilla.ai, machine learning and NLPself-described: Running the any-agent framework's tool loop on Fireworks | Product or platform team | Published Aug 26, 2025 | Assessment reviewed Nov 1, 2026 | Still applicable | |
| Context Length Mismatch for Kimi K2ID fw-47 | Developer Communities | github.com/ | Manan Suri, PhD student in CS at the University of Marylandself-described: Long prompts to Kimi K2 Instruct on Fireworks through LiteLLM | Individual builder | Published Aug 6, 2025 | Assessment reviewed Nov 1, 2026 | Still applicable | |
| [Bug] Fireworks fine-tune error "Dataset ID: first character of id must not be a digit"ID fw-32 | Developer Communities | github.com/ | scosman, Building kiln.techself-described: Kiln, a fine-tuning and evaluation app that calls Fireworks | Small product team | Published Apr 19, 2025 | Assessment reviewed Nov 1, 2026 | Needs a recheck | |
| Hacker News comment by keithwhorID fw-33 | Developer Communities | news.ycombinator.com/ | keithwhor, building Superuserself-described: A startup that wants a US-hosted open model | Technical leadership | Published Mar 7, 2025 | Assessment reviewed Nov 1, 2026 | Still applicable | |
| Using Cline with a third-party hosted DeepSeek-V3, spits out junk when editing filesID fw-35 | Developer Communities | www.reddit.com/ | cunningjames, Reddit posterself-described: Cline with DeepSeek-V3 hosted on Fireworks | Individual builder | Published Jan 31, 2025 | Assessment reviewed Nov 1, 2026 | Still applicable | |
| Serverless latency FAQID fd-01 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Anthropic compatibilityID fd-02 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| IntroductionID fd-03 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Tool callingID fd-04 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| EmbeddingsID fd-05 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Batch inferenceID fd-06 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Vision modelsID fd-07 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Nexus AutoID fd-08 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| QuickstartID fd-09 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| OpenAI compatibilityID fd-10 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Agent frameworksID fd-11 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| LLM gatewaysID fd-12 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Microsoft FoundryID fd-13 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| RegionsID fd-14 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Data residencyID fd-15 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Serverless overviewID fd-16 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Serverless pricing (text)ID fd-17 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Cost FAQID fd-18 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Billing and credits FAQID fd-19 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Serverless rate limits (text)ID fd-20 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Account quotasID fd-21 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Inference error codesID fd-22 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| SSO and SCIMID fd-23 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Data handlingID fd-24 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Data securityID fd-25 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Audit logsID fd-26 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| On-demand deploymentsID fd-27 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| PricingID fd-28 | Product Documentation | fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
| Secure trainingID fd-29 | Product Documentation | docs.fireworks.ai/ | Fireworks AIOfficial | Not counted (documentation) | No date stated | Documentation checked Nov 1, 2026 | Current | Verification only |
