Fireworks AI pricing
Fireworks AI serves open-weight models serverlessly and is built around fine-tuning: a custom model is billed at the same per-token rate as the base model it was tuned from, with training charged separately.
- Priced by
- Unknown
- Headquarters
- San Francisco, US
- Founded
- 2022
- Pricing page tracked since
- Unknown
- Last checked
- Sep 21, 2026
Fireworks AI price history and price changes
Fireworks AI's pricing was read on Sep 2026. Prices are USD per million tokens.
Serverless, up to 150M params has been listed since Sep 2026, starting at $0.01.
Serverless, 150M-350M params has been listed since Sep 2026, starting at $0.02.
Qwen3 8B has been listed since Sep 2026, starting at $0.10.
First read on 21 September 2026, so the chart starts now.
Plans and prices
Prices as extracted on Sep 21, 2026.
Serverless, up to 150M params
$0.008per million tokens
Sep 21, 2026
Serverless, 150M-350M params
$0.016per million tokens
Sep 21, 2026
Qwen3 8B
$0.1per million tokens
Sep 21, 2026
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Pricing page over the years
No archived copies of this pricing page were found yet.
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Fireworks AI pricing questions
- How much does Fireworks AI cost?
- Fireworks AI plans start at $0.008 per million tokens for Serverless, up to 150M params and go up to $0.1 per million tokens for Qwen3 8B. Prices are as shown on the pricing page when it was last read on Sep 21, 2026.
- Has Fireworks AI raised its prices?
- Serverless, up to 150M params has been listed since Sep 2026, starting at $0.01. Serverless, 150M-350M params has been listed since Sep 2026, starting at $0.02. Qwen3 8B has been listed since Sep 2026, starting at $0.10. First read on 21 September 2026, so the chart starts now.
About Fireworks AI
Fireworks AI have offered 3 different plans starting with Serverless, up to 150M params at 0.008$. Fireworks AI is a San Francisco, US based company. Founded in 2022. They are using a combination of Sales-Led and Product-Led go-to-market strategy. The company describes themselves as "Fireworks AI serves open-weight models serverlessly and hosts fine-tuned models at the same per-token rate as the base model. Serverless pricing steps up with parameter count, and training a LoRA or full fine-tune is billed per token separately.". They are in involved in Artificial Intelligence, Developer Tools, API, Cloud Computing, SaaS.