Fireworks AI
Fireworks AI provides fast, production-grade inference on open models (Llama, DeepSeek, Qwen, gpt-oss) with $1 in free credits for new accounts.
- Requests / min
- 10
- Free credit
- $1
- Card required
- Yes
Fireworks AI scores 5.6/10 for free value in LLM. The main constraint: $1 in free credits on signup for serverless text and vision models; pay-as-you-go thereafter. Finite, one-time.
Free value score
5.6 / 10Show the math
Key metrics
Models
0 free · 100+ totalLimits may be stale — last re-verified outside this section's freshness window.
| Model | Family | AA | Access |
|---|---|---|---|
| GLM-5.2 | GLM | 51.1 | paid |
| MiniMax-M3 | MiniMax | 44.4 | paid |
| DeepSeek V4 Pro | DeepSeek | 44.3 | paid |
| Kimi K2.6 | Kimi | 42.8 | paid |
| DeepSeek V4 Flash | DeepSeek | 40.3 | paid |
| GLM 5.1 | GLM | 40.2 | paid |
| Kimi K2.5 | Kimi | 38.1 | paid |
| DeepSeek V3.2 | DeepSeek | 24.7 | paid |
| OpenAI gpt-oss-120b | GPT | 23.8 | paid |
| DeepSeek V3.1 | DeepSeek | 21.1 | paid |
| DeepSeek R1 | DeepSeek | 20.1 | paid |
| Kimi K2 Thinking | Kimi | 19.4 | paid |
| Llama 4 Maverick | Llama | 14.3 | paid |
| Llama 4 Scout | Llama | 10 | paid |
| Devstral Small 2 24B Instruct 2512 | Mistral | — | paid |
| FLUX.1 [dev] | FLUX | — | paid |
| FLUX.1 Kontext | FLUX | — | paid |
| Gemma 3 12B Instruct | Gemma | — | paid |
| KAT Coder | Other | — | paid |
| Llama 3.3 70B Instruct | Llama | — | paid |
| MiniMax 2.5 (M2.5) | MiniMax | — | paid |
| MiniMax 2.7 (M2.7) | MiniMax | — | paid |
| Mixtral 8x22B Instruct | Mistral | — | paid |
| Mixtral 8x7B Instruct | Mistral | — | paid |
| Molmo2 | Other | — | paid |
| Nomic / GTE / Qwen3 embeddings | Other | — | paid |
| OpenAI gpt-oss-20b | GPT | — | paid |
| Qwen 3.6 Plus | Qwen | — | paid |
| Qwen2.5-VL 32B Instruct | Qwen | — | paid |
| Qwen3 235B A22B | Qwen | — | paid |
| Qwen3 30B A3B | Qwen | — | paid |
| Qwen3 Coder 480B A35B | Qwen | — | paid |
| Qwen3 Omni | Qwen | — | paid |
| Qwen3 VL 235B | Qwen | — | paid |
Showing first 0 of a larger catalog.
What you get
$1 free credit for new accounts
Optimized fast inference for agentic + structured output
Llama, DeepSeek, Qwen, gpt-oss and vision models
OpenAI-compatible API
Gotchas
- $1 one-time starter credit
New accounts receive exactly $1 in free credits for serverless text and vision models; once exhausted there is no renewal or top-up from Fireworks.
- Card required to continue
After the $1 credit is consumed, a payment method must be added to continue using the API — the free credit alone is not sufficient for sustained use.
- Evaluation window only
At typical serverless token pricing, $1 covers only tens of thousands of tokens — enough for brief evaluation but not meaningful development or production use.
Sources
-
"Pay per token, with high rate limits and postpaid billing. Get started with $1 in free credits."
https://fireworks.ai/pricing -
"No payment method or no credits: 10 RPM. Adding a payment method with active credits raises the account-wide ceiling to a fixed maximum of 6,000 (fireworks quotes this as the with-card cap, not a free-tier limit); it applies account-wide, not serverless-only, and is a fixed ceiling, not adaptive."
https://docs.fireworks.ai/guides/quotas_usage/account-quotas -
"DeepSeek V4 Pro (Max) scores 52 on the Artificial Analysis Intelligence Index ... making it the #2 open weights reasoning model behind Kimi K2.6 (54)."
https://artificialanalysis.ai/articles/deepseek-is-back-among-the-leading-open-weights-models-with-v4-pro-and-v4-flash -
"Today, we're announcing a $250 million Series C at a $4 billion valuation, co-led by Lightspeed Venture Partners, Index Ventures, and Evantic"
https://fireworks.ai/blog/series-c
Alternatives
Same category · similar quota~1,900 requests/5h (~24,000/mo) across Seed-2.0-Pro/Lite/Code, Kimi K2.5, GLM-5.1, DeepSeek V3.2; OpenAI endpoint for all models + Anthropic endpoint (subset) in Claude Code/OpenCode; Singapore region
ModelScope, Alibaba's open model community, provides free API-Inference to registered users across 900+ trending models including Qwen LLMs and image-generation models.