Fireworks AI
The fastest platform for open-source AI
Last reviewed Mar 14, 2026
Fireworks AI is a high-performance inference platform specializing in open-source generative AI models. Founded by former Meta PyTorch team members, they provide the fastest inference engine for LLMs, vision, and audio models with enterprise-grade reliability.
LLM API Pricing
Pay-per-token pricing. Prices shown per 1M tokens.
Prices last updated: June 11, 2026
| Model | Creator | Context | Input/1M | Output/1M | Updated |
|---|---|---|---|---|---|
| Segmind | — | $0.0001/unit | - | 5/21/2026 | |
| Playground | — | $0.0001/unit | - | 5/20/2026 | |
| Stability AI | — | $0.0001/unit | - | 5/20/2026 | |
| Playground | — | $0.0001/unit | - | 5/20/2026 | |
| Black Forest Labs | — | $0.0004/unit | - | 5/20/2026 | |
| Black Forest Labs | — | $0.0005/unit | - | 5/20/2026 | |
| OpenAI | — | $0.0009/min | - | 5/20/2026 | |
| Black Forest Labs | — | $0.040/img | - | 5/20/2026 | |
| OpenAI | 128K | $0.070 | $0.300 | 6/11/2026 | |
| Black Forest Labs | — | $0.080/img | - | 5/20/2026 | |
Pros & Cons
Advantages
- Lightning-fast inference with industry-leading response times
- Easy-to-use API with excellent OpenAI compatibility
- Wide variety of optimized open-source models
- Competitive pricing with 50% off cached tokens and batch processing
- Enterprise reliability with 99.99% uptime SLA
- Up to 100 fine-tuned models deployable without extra costs
Limitations
- Limited capacity with some serverless model limits
- Primarily focused on language models over image/video generation
- BYOC only available for major enterprise customers
- Feature-rich interface can have steep learning curve
Key Features
100+ Open-Source Models
Instant access to latest models like Kimi K2.5, DeepSeek V3.2, GLM-5.1, Qwen3.6 Plus, FLUX.1 Kontext Pro, Whisper V3 Large, and more
Blazing Fast Inference
Industry-leading throughput and latency with fast inference engine
Fine-Tuning Suite
SFT, DPO, and reinforcement fine-tuning of models up to 1T+ parameters with LoRA efficiency
OpenAI-Compatible API
Drop-in replacement - just change the base URL for easy migration
On-Demand GPUs
H100, H200, B200, and B300 deployments with per-second billing and autoscaling
Batch Processing
50% discount for async bulk inference workloads
Complete Model Lifecycle
Build, tune, and scale AI models without managing infrastructure
Pricing Options
| Option | Details |
|---|---|
| Serverless Inference | Pay-per-token pricing with parameter-based tiers from $0.10 to $0.90 per 1M tokens, plus premium models |
| Cached tokens | 50% discount on cached input tokens for supported models |
| Batch processing | 50% discount on async bulk inference for both input and output tokens |
| Fine Tuning | Per-training-token pricing for SFT, DPO, and reinforcement learning with LoRA and full parameter options |
| On-demand GPUs | Per-second billing for H100, H200, B200, and B300 GPU deployments with no startup charges |
Availability & Support
Regions
18+ global regions across 8 cloud providers with multi-region deployments and BYOC support for enterprise
Support
Documentation, Discord community, status page, email support, and dedicated enterprise support with SLAs
Getting Started
- 1
Explore Model Library
Browse 400+ models at fireworks.ai/models
- 2
Test in Playground
Experiment with prompts interactively without coding
- 3
Generate API Key
Create an API key from user settings in your account
- 4
Make first API call
Use OpenAI-compatible endpoints or Fireworks SDK
- 5
Scale to production
Transition to on-demand GPU deployments for production workloads