Mistral AI vs Together AI
Comparing two ai & llm apis platforms on pricing, features, free tier, and trade-offs.
Quick summary
Mistral AI — European open-weight and commercial LLMs. Mistral AI offers both commercial API access (Mistral Large, Codestral) and open-weight models (Mistral 7B, Mixtral). EU-based with strong privacy posture.
Together AI — Run open-source AI models in production. Together AI hosts 200+ open-source models (Llama, Mixtral, Qwen, DeepSeek, Flux) with competitive pricing, fine-tuning, and dedicated endpoints.
Feature comparison
| Feature | Mistral AI | Together AI |
|---|---|---|
| Pricing model | Freemium | Freemium |
| Starting price | Pay per token | Pay per token |
| Free tier | Yes | Yes |
| Open source | Yes | No |
| Vision | Yes | Yes |
| Streaming | Yes | Yes |
| Embeddings | Yes | Yes |
| Max Output | 8K | 8K |
| Fine-tuning | Yes | Yes |
| Context Window | 128K | 128K |
| Flagship Model | Mistral Large 2 | Llama 3.3 405B |
| Reasoning Model | Mistral Large 2 | DeepSeek R1 |
| Function Calling | Yes | Yes |
| EU Data Residency | Yes | No |
Mistral AI
European open-weight and commercial LLMs
Pros
- Open-weight models available
- EU-based, strong GDPR posture
- Dedicated code model (Codestral)
- Competitive pricing
Cons
- Less capable than GPT-4o on most benchmarks
- Smaller ecosystem
- Documentation thinner
Together AI
Run open-source AI models in production
Pros
- 200+ open-source models one API
- Fine-tuning infrastructure built in
- Dedicated endpoints for SLA workloads
- Image generation (Flux) too
Cons
- No proprietary frontier model
- Pricing varies wildly per model
- Documentation sometimes out-of-sync
Which should you choose?
Choose Mistral AI if you value open source and want the option to self-host, and a free tier is important for your stage. Choose Together AI if a free tier is important for your stage.