What it is
Fireworks AI runs open-weight AI models for developers. You can call popular models through a shared pay-per-token API, rent dedicated GPUs for your own deployment, or fine-tune a model and serve it at the same price as the original.
Prices are per million tokens. Examples from the docs: GPT OSS 120B costs $0.15 input and $0.60 output, DeepSeek V4.1 Flash $0.30 and $1.20, and Kimi K3 $3.00 and $15.00. Batch jobs cost half the normal price, and cached input is discounted by roughly 80% to 98% depending on the model. Dedicated H100 and H200 GPUs cost $8 an hour, billed by the second.
Our review
Fireworks is built for teams that have already decided on open models and now need them served properly. The October 2026 catalogue tracks the main releases closely, with Kimi K3, DeepSeek V4.1 Flash, GLM 5.3, Qwen 3.8 Max, MiniMax M3 and NVIDIA Nemotron models, and the API follows the OpenAI format, so moving an existing app is mostly a change of base URL and key.
Its data defaults are better than most rivals'. The docs say prompts and outputs for open models are not logged or stored without opt-in and live only in memory for the request, plus a few minutes of prompt cache. The exception catches people out: the Responses API stores conversations for 30 days because store=True is the default. Fireworks lists SOC 2 Type II, HIPAA, and ISO 27001, 27701 and 42001, with reports in its trust centre.
Pricing is detailed rather than hidden. Each model has a Standard rate, a Priority tier at roughly 1.25x for steadier latency, a Fast tier at 1.5x on some models, and a 50% premium for US-only routing. Batch is half price, and cached input falls to as little as $0.006 per million on DeepSeek V4.1 Flash, which changes the economics of agents that resend long contexts.
Fine-tuning is the strongest argument. LoRA training starts at $0.50 per million tokens for models up to 16B parameters, and the tuned model is then served at the base model's per-token price rather than on a dedicated GPU. Dedicated hardware is where Fireworks loses: $8 an hour for an H100 against fal's $4.50 list rate, with the account-wide request ceiling fixed at 6,000 per minute whatever you spend.
Where it earns its place
A backend engineer at a SaaS company with an OpenAI-based support bot
Cut inference cost by moving to an open model
Point the OpenAI SDK at Fireworks and switch to GPT OSS 120B at $0.15 in and $0.60 out per million tokens. Ten billion input and two billion output tokens a month is about $2,700 before cache discounts.
An ML team at a health-tech startup
Fine-tune a model on de-identified clinical notes and serve it under HIPAA
LoRA-tune a 16B-or-smaller model at $0.50 per million training tokens, then serve it at the base price. Zero retention is the default for inference; enterprise admins can also block training uploads entirely.
A data team at an e-commerce marketplace
Classify and tag millions of product listings overnight
Run batch jobs at 50% of serverless prices; on DeepSeek V4.1 Flash that is $0.15 in and $0.60 out per million tokens, with repeated system prompts cached at a fraction of a cent.
Before you commit
- Setup
- Add prepaid credits, create an API key and call any serverless model with the OpenAI SDK; no payment method limits you to 10 requests a minute.
- Integrations
- OpenAI-compatible chat, completions and Responses APIs, embeddings, batch, managed and serverless training APIs, and on-demand GPU deployments.
- Data and privacy
- No logging of prompts or outputs for open models without opt-in; the Responses API stores data 30 days by default. SOC 2 Type II, HIPAA, ISO 27001, 27701 and 42001.
- Cost at scale
- Spending tiers run from $50 to $5,000 in credits to unlock higher limits; one dedicated H100 running all month is about $5,800, and region-restricted deployments cost 1.5x.
- Limits
- Serverless limits are adaptive tokens-per-minute ceilings set by tier; the account-wide cap is 6,000 requests a minute, and everything pauses at 100% of your monthly spend limit.
What's good
- No prompt or output logging by default for open models
- SOC 2 Type II, HIPAA, ISO 27001, 27701 and 42001
- Fine-tuned models served at base-model token prices
- Batch at 50% off; cached input up to 98% off
What's not
- Dedicated H100 at $8/hour, well above specialist GPU hosts
- Responses API keeps conversations 30 days unless store=False
- No free credits for new accounts on the pricing pages
- Fixed 6,000 requests per minute account-wide ceiling
Best for
Teams running open models in production who want fine-tuning and predictable per-token pricing.
Alternatives
Fireworks AI: common questions
- Is Fireworks AI worth it?
- Fireworks is a safe production home for open models: zero retention by default, real certifications and fine-tuned models at base prices, with dedicated GPUs as the one expensive part. We rate it 4.4 out of 5.
- How much does Fireworks AI cost?
- Prepaid credits. Per 1M tokens, e.g. GPT OSS 120B $0.15 in / $0.60 out, Kimi K3 $3 / $15. Batch 50% off. Dedicated H100/H200 $8/hour, B200 $13/hour. Fine-tuning from $0.50 per 1M training tokens.
- What are the downsides of Fireworks AI?
- Dedicated H100 at $8/hour, well above specialist GPU hosts; responses API keeps conversations 30 days unless store=False; no free credits for new accounts on the pricing pages; fixed 6,000 requests per minute account-wide ceiling.
- Who is Fireworks AI best for?
- Teams running open models in production who want fine-tuning and predictable per-token pricing.
- How much does Fireworks AI cost for a team or in production?
- Spending tiers run from $50 to $5,000 in credits to unlock higher limits; one dedicated H100 running all month is about $5,800, and region-restricted deployments cost 1.5x.
- Is Fireworks AI safe for company data?
- No logging of prompts or outputs for open models without opt-in; the Responses API stores data 30 days by default. SOC 2 Type II, HIPAA, ISO 27001, 27701 and 42001.
- What are the best Fireworks AI alternatives?
- The closest alternatives we have reviewed are Together AI, Groq, Cerebras and OpenRouter.
Answers checked Oct 22, 2026.
Make Fireworks AI? Show this rating on your site
