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TL;DR - Fireworks AI
- Fireworks AI is an inference platform for running open-source and custom AI models fast
- It provides low-latency model serving with optimized pricing for production workloads
- Pay-per-token pricing starting at $0.20/million tokens
Pricing: Free plan available
Best for: Growing teams
Score: 82/100
Pros & Cons
Pros
- Fast inference
- Good pricing
- Many models available
- Function calling
- Good for production
Cons
- Smaller ecosystem
- Less known
- Documentation improving
- Support varies
- Model selection confusing
Key Features
Fast LLM inferenceImage generationSpeech-to-textFine-tuningOn-demand GPUsBatch processingCached tokens discountDeepSeek supportQwen supportPer-second billing
Pricing Plans
Free Credits
Free
- $1 in free credits
- Pay-per-token billing
- Serverless inference access
Serverless
- <4B params: $0.10/1M tokens
- 4-16B params: $0.20/1M tokens
- >16B params: $0.90/1M tokens
- MoE models: $0.50-1.20/1M tokens
- 50% cached token discount
- 50% batch discount
On-Demand
- A100 80GB: $2.90/hr
- H100 80GB: $4.00/hr
- H200 141GB: $6.00/hr
- B200 180GB: $9.00/hr
- Per-second billing
About Fireworks AI
By Toolradar Team·
Fireworks AI is a fast generative AI platform for LLMs and image models. Features serverless inference, fine-tuning, and on-demand GPU deployments.
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Fireworks AI FAQ
Is Fireworks AI free?
Fireworks offers $1 in free credits to start. Pricing is then pay-per-token for serverless or per-hour for GPUs.
What models does Fireworks support?
Fireworks supports DeepSeek V3/R1, Qwen3, Kimi K2, Llama, Mixtral, FLUX, Whisper, and many more.
Is there a batch discount?
Yes, batch inference and cached input tokens both receive 50% discount.
What GPUs are available?
A100, H100, H200, and B200 GPUs are available for on-demand deployments at $2.90-9.00/hour.
Source: fireworks.ai