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Fireworks AI Review 2026 — Fastest Open-Source LLM Inference API
Fireworks AI delivers the fastest inference for Llama, DeepSeek, and 300+ open-source models. Sub-200ms latency, OpenAI-compatible API, function calling. Free tier available.
Fireworks AI provides infrastructure for running open models and custom-trained models. Developers can use serverless inference, dedicated GPU deployments, fine-tuning, embeddings, tool calling, and multimodal models through APIs and a developer toolkit.
It is used by teams building coding assistants, conversational systems, agents, search, enterprise RAG, and multimodal applications. Usage is metered by tokens, training tokens, or GPU time; enterprise deployments and some dedicated services require contacting Fireworks.
Features
- Run open models with serverless inference and no GPU setup
- Deploy models on dedicated GPUs with per-second billing
- Fine-tune models with LoRA, DPO, SFT, and reinforcement fine-tuning
- Serve hundreds of fine-tuned variants using Multi-LoRA
- Build agents with JSON mode, grammar mode, and tool calling
- Use text, vision, audio, speech, image, and video models
- Access OpenAI- and Anthropic-compatible inference APIs
Use cases
- Build coding assistants and code-generation products
- Run conversational AI and customer-support systems
- Create agents that call APIs and retain context
- Add semantic search and enterprise RAG to applications
- Fine-tune models on proprietary business data
- Process images, documents, audio, and video
Pros
Cons
Pricing
- Starting price
- $0.008
- Pricing checked
- 2026-09-19
Embeddings — up to 150M
$0.008
- Per 1M input tokens
Embeddings — 150M - 350M
$0.016
- Per 1M input tokens
Embeddings — Qwen3 8B
$0.1
- Per 1M input tokens
Managed Training — models up to 16B parameters, LoRA SFT
$0.50
- Per 1M training tokens
Serverless Training API — Qwen 3.8 27B
$1.86
- Prefill per 1M tokens
- Additional cached prefill, sample, and train rates apply
On demand deployments — H100 80 GB GPU
$8.00
- Per hour
- Per-second billing