Fireworks AI vs Mistral AI
On the evidence we track, Fireworks AI leads this comparison with a composite score of 61/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.
Capabilities
Feature-by-feature on the axes that matter for inference providers. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Fireworks AI
LeaderFireworks provides serverless and on-demand inference for open source models and custom trained versions, with tools for model fine-tuning, optimization, and deployment. It supports per-token and per-GPU billing with API compatibility for existing model clients.
Mistral AI
Mistral provides advanced AI models, training platforms, and deployment infrastructure for enterprises building custom AI applications. Organizations can deploy Mistral's frontier models via cloud services, self-hosted environments, or on-premises infrastructure with full control over their data and models.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Fireworks AI
LeaderUsage-based pay-per-token for serverless; managed training at $0.50–$12/1M tokens; dedicated GPU from $0.134–$0.334/minute
- Serverless InferenceUsage-based per-token pricing
- Pay per input token
- Pay per output token
- Pay per cached token
- OpenAI and Anthropic compatible API
- Priority and Fast serving options
- Embeddings$0.008–$0.1 per 1M input tokens
- Multiple embedding models
- Tiered by model size
- Managed Training$0.50–$12 per 1M training tokens depending on model size and method
- LoRA SFT
- LoRA DPO
- Full Parameter SFT
- Full Parameter DPO
- Quantization-aware training
- Serverless Training APIUsage-based pricing per 1M tokens for prefill, cached prefill, sample, and train
- Shared trainer pool
- No provisioning required
- No idle costs
- Cached prefill option
- On-Demand DeploymentsContact sales
- H100, B200, B300, GB300 GPU options
- Multi-region support
- Post-trained model support
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Fireworks AI
Leader- OpenCode
- Cline
- Aider
- External APIs via function calling
- OpenAI
- Anthropic
Mistral AI
- Google Cloud
- AWS
- Azure
- SAP
- IBM
- Snowflake
- NVIDIA
- Outscale
Fireworks AI or Mistral AI: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.