Fireworks AI
Run Llama, Mixtral, and 50+ open-source models at production speed: model-specific token billing with the same SDK you're already using.
The verdict on Fireworks AI: Developers who need fast, cheap inference on open-source models without sacrificing production reliability Fireworks AI's pitch is simple for developers who've already decided on open-source models: faster inference with production-grade reliability rather than the instability of running your own infrastructure. Pricing: GPT OSS 120B Serverless Standard (USD) / $0.15/1M uncached input tokens / $0.015/1M cached-input tokens / $0.60/1M output tokens.
Best For
Developers who need fast, cheap inference on open-source models without sacrificing production reliability
Standout Feature
Latency that consistently beats cloud providers, with model- and serving-tier-specific token pricing
TL;DR
A genuinely strong value pick for open-source inference, the free credit is too small to test real production load.
Alternatives
Fit Score: use-case reference
How this is scoredFireworks AI scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.
Developers needing fast, cheap inference on open-source models without sacrificing production reliability
4.4/5- Capability
- 5/5
- Reliability
- 4/5
- Value
- 5/5
- Ease
- 5/5
- Compatibility
- 3/5
Fireworks offers best-in-class latency for open-source model inference with model- and serving-tier-specific input, cached-input, and output token pricing, and an OpenAI-compatible API means zero migration effort.
Needing the broadest possible model catalog or extensive fine-tuning options
2.6/5- Capability
- 2/5
- Reliability
- 3/5
- Value
- 3/5
- Ease
- 3/5
- Compatibility
- 2/5
Model selection is smaller than OpenRouter, and fine-tuning has limited base model options versus dedicated platforms, per its own cons.
Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.
Overview
Not yet reviewedProduct quality is assessed from original evidence. How reviews work.
Fireworks AI is a fast inference platform for open-source models, Llama, Mixtral, Mistral, Gemma, and custom fine-tunes, with production-grade reliability. Latency benchmarks consistently outperform cloud providers for equivalent model quality. Representative USD rates for OpenAI GPT OSS 120B on Serverless Standard are $0.15/1M uncached input tokens, $0.015/1M cached-input tokens, and $0.60/1M output tokens.
Other models and serving tiers have different rates; the $1 signup credit is promotional, not a plan price. Supports function calling, JSON mode, streaming, and fine-tuning via a fully OpenAI-compatible API.
The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.
Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.
- • Best-in-class latency for open-source model inference
- • Separate input, cached-input, and output token rates support cost estimation
- • OpenAI-compatible API means zero migration effort
- • Smaller model selection than OpenRouter
- • Fine-tuning has limited base model options vs dedicated platforms
- • Free credit is small, production workloads require billing setup
Key Features
- OpenAI-compatible API for instant drop-in replacement
- 50+ open-source models including Llama, Mixtral, and Gemma
- Compound AI system deployment (multiple models in one call)
- Function calling and JSON mode across all supported models
- Fine-tuning API for custom model specialization
- Sub-100ms time-to-first-token on most models
Trust & Data
Verified 2026-09
- Training on your data
- NoFireworks does not use prompts or API inputs to train or improve its models by default; users must explicitly opt in to allow training use. Its trust.fireworks.ai subdomain rendered as a JavaScript-only shell with no accessible content; the certifications reported here were confirmed instead via separate docs.fireworks.ai security and compliance pages.
- Compliance
- SOC 2 Type II, HIPAA, ISO 27001, ISO 27701, ISO 42001
- Retention
- Zero data retention for open models by default; prompts and generation data are not logged or stored unless the user explicitly opts in.
- Export
- Full export
Sources: fireworks.ai, docs.fireworks.ai/data security, docs.fireworks.ai/certifications
As published by the vendor. Verify independently before purchase decisions.
Our Take
Compare input, cache, and output rates for the selected model and serving tier rather than assuming a universal discount against OpenAI. Llama, Mixtral, Mistral, Gemma, and custom fine-tunes are all available. The $1 signup credit is a promotional allowance, not a subscription charge; treat it as a quick integration check rather than a production-load evaluation. Model selection is narrower than OpenRouter, and fine-tuning base model options are limited. If you need open-source inference at production scale without the operational overhead of self-hosting, this is a strong default.