Fireworks AI
Fireworks AI runs 200+ open-source LLMs with a self-serve post-training stack (SFT/LoRA/RL) and 99.9% uptime SLA — pay-per-token serverless, no GPU provisioning, Day-0 support for new open weights.
Verified against: fireworks.aifireworks.aifireworks.ai as of 2026-09-11
Quick verdict: Fireworks AI earns a 4.0/5 from our research, standing out for core features. It fits best when your priority is teams that need post-training under one API key, with the caveat that you should weigh its value for money.
- Our rating: 4.0/5
- Strongest dimension: Functionality (5/5, research only)
- Weakest dimension: Collaboration (2/5, research only)
- Pricing: $1 free credit for new accounts · $0.10/1M tokens
- Verification: Research-only pass over official sources, last checked 2026-09-11. Sources: fireworks.ai, fireworks.ai, fireworks.ai
Fireworks AI pricing details
- $1 free credit for new accounts
- paid plans from $0.10/1M tokens
Pay-per-token for serverless; new accounts get only $1 in free credits (less than Together AI's $5 and Cerebras' 1M tokens/day); Serverless from $0.10/1M tokens for text & vision under 4B; On-Demand dedicated from $7.00/hr H100 (billed per second, no cold-boot cost); LoRA fine-tuning from $0.50/1M training tokens; Usage limit tier 1 = $50/month by default, hard-blocks requests when exceeded even with remaining credits
In our index: No free plan; $1 trial credit; paid from $0.10/1M tokens
How Fireworks AI scores across our 6 index dimensions
- Functionality: 5/5 (research only)
- Usability: 4/5 (research only)
- Stability: 4/5 (research only)
- Collaboration: 2/5 (research only)
- Localization: 3/5 (research only)
- Value: 3/5 (research only)
Score rationale: Research-only: only provider with full self-serve post-training stack (SFT/LoRA/RL) under one inference API; Day-0 open model support; 99.9% uptime SLA; $1 free credit (shallow); On-Demand $7/hr H100 adds up on always-on
What Fireworks AI does well
- Best dimension: Core features at 5/5 — only provider with full self-serve post-training stack (SFT/LoRA/RL pipelines) under one inference API; 200+ open models across five modalities; Day-0 support for new open-source weights.
- Stability at 4/5 — 99.9% uptime SLA with 15T tokens/day operational scale; no cold boots on Serverless.
- Ease of use at 4/5 — OpenAI/Anthropic-compatible API; one-line migration for chat completion and embedding calls.
- Pricing: Pay-per-token serverless from $0.10/1M; On-Demand from $7.00/hr H100 billed per second; LoRA fine-tuning from $0.50/1M tokens
- Source check: Research-only: only provider with full self-serve post-training stack under one inference API; Day-0 support; 99.9% uptime SLA; $1 free credit shallow; On-Demand $7/hr adds up on always-on
Where Fireworks AI falls short
- Weakest dimension: Value for money at 3/5 — not always the cheapest per-token option; On-Demand GPU $7.00/hr adds up quickly for always-on deployments.
- Free credit only $1 for new accounts — far less than Together AI ($5) or Cerebras (1M tokens/day); limits free-tier evaluation depth.
- Weigh value and free-credit depth before committing.
How Fireworks AI compares to other AI API Gateways tools
Our index tracks 5 AI API Gateways tools. Fireworks AI sits at 4.0/5, with paid plans from $0.10/1m tokens. Here are the 4 closest alternatives we hold pricing and scoring evidence for.
- OpenRouter — 4.3/5 · Free plan · $0.07/1M tokens
OpenRouter is the largest AI model gateway — 374+ models from Anthropic, OpenAI, Google, DeepSeek and more, with free tiers, BYOK support, and unified OpenAI-compatible API. - Groq — 4.2/5 · Free plan · $0.05/1M tokens
Groq runs open-source LLMs on custom LPU chips that deliver 500+ tokens per second — the fastest inference API available, with a generous free tier and no credit card required. - Together AI — 3.9/5 · $5 free signup credit · $0.05/1M tokens
Together AI is an open-model inference platform with 100+ open-source models, fine-tuning support, and dedicated GPU capacity — built for production AI teams. - DashScope — 3.8/5 · Free plan · ¥0.20/1M tokens (~$0.03)
DashScope is Alibaba Cloud's AI model service — Qwen, GLM, MiniMax and other Chinese models with OpenAI-compatible API, free credit promotions, and native Chinese support.
Frequently asked questions about Fireworks AI
How much does Fireworks AI cost?
$1 free credit for new accounts; paid plans from $0.10/1M tokens. Billing detail: Pay-per-token for serverless; new accounts get only $1 in free credits (less than Together AI's $5 and Cerebras' 1M tokens/day); Serverless from $0.10/1M tokens for text & vision under 4B; On-Demand dedicated from $7.00/hr H100 (billed per second, no cold-boot cost); LoRA fine-tuning from $0.50/1M training tokens; Usage limit tier 1 = $50/month by default, hard-blocks requests when exceeded even with remaining credits. Figures verified 2026-09-11.
Does Fireworks AI have a free plan?
No free plan is listed for Fireworks AI, but a trial is offered ($1 free credit for new accounts). Paid plans start at $0.10/1M tokens.
What is Fireworks AI rated in our index?
Fireworks AI sits at 4.0/5 in our index, strongest on functionality (5/5, research only) and weakest on collaboration (2/5, research only). Fireworks AI earns a 4.0/5 from our research, standing out for core features. It fits best when your priority is teams that need post-training under one API key, with the caveat that you should weigh its value for money.
What are the drawbacks of Fireworks AI?
Weakest dimension: Value for money at 3/5 — not always the cheapest per-token option; On-Demand GPU $7.00/hr adds up quickly for always-on deployments Free credit only $1 for new accounts — far less than Together AI ($5) or Cerebras (1M tokens/day); limits free-tier evaluation depth Weigh value and free-credit depth before committing.
What does Fireworks AI do well?
Best dimension: Core features at 5/5 — only provider with full self-serve post-training stack (SFT/LoRA/RL pipelines) under one inference API; 200+ open models across five modalities; Day-0 support for new open-source weights Stability at 4/5 — 99.9% uptime SLA with 15T tokens/day operational scale; no cold boots on Serverless Ease of use at 4/5 — OpenAI/Anthropic-compatible API; one-line migration for chat completion and embedding calls Pricing: Pay-per-token serverless from $0.10/1M; On-Demand from $7.00/hr H100 billed per second; LoRA fine-tuning from $0.50/1M tokens Source check: Research-only: only provider with full self-serve post-training stack under one inference API; Day-0 support; 99.9% uptime SLA; $1 free credit shallow; On-Demand $7/hr adds up on always-on.
How was Fireworks AI verified?
Research-only pass over official sources, last checked 2026-09-11. Sources: fireworks.ai, fireworks.ai, fireworks.ai.
What are the alternatives to Fireworks AI?
We track OpenRouter, Groq, Together AI, DashScope as the closest alternatives in our AI API Gateways index, and 4 head-to-head comparisons against Fireworks AI are available.