Mistral vs DeepSeek: API Pricing and Model Comparison
Mistral and DeepSeek are two of the most cost-effective open-weight providers. Mistral competes on European language support and on-premise deployment, while DeepSeek offers ultra-low pricing and strong reasoning. Here's how they compare.
Pricing data sourced from our catalog. Check data sources for provenance and freshness.
Quick comparison
Here's a side-by-side overview of both providers:
| Feature | Mistral | DeepSeek |
|---|---|---|
| Model count | 51 | 12 |
| Cheapest chat model | $0.20 | $0.42 |
| Coding models | 13 | 1 |
| Reasoning models | 10 | 8 |
| European languages | Strong | Good |
| Open source | Partial | Yes |
| Self-hosting | Yes | Yes |
Pricing comparison
Per 1M token pricing for chat models from each provider:
| Provider | Model | Input | Output |
|---|---|---|---|
| Mistral | ministral-3-3b-2512 | $0.1000 | $0.1000 |
| Mistral | mistral-small-latest | $0.0600 | $0.1800 |
| Mistral | mistral-small-3-2-2506 | $0.0600 | $0.1800 |
| Mistral | ministral-3-8b-2512 | $0.1500 | $0.1500 |
| DeepSeek | deepseek-coder | $0.1400 | $0.2800 |
| DeepSeek | deepseek-v4-flash | $0.1400 | $0.2800 |
| DeepSeek | deepseek-v4-flash | $0.1400 | $0.2800 |
| DeepSeek | deepseek-v3.2 | $0.2800 | $0.4000 |
Cost comparison by workload
Estimated monthly costs using the cheapest available models from each provider:
Budget chatbot
RAG application
Coding agent
Model strengths
Mistral strengths
- European languages: Strong performance on French, German, and other European languages
- Coding models: Codestral and Devstral for code generation
- On-premise: Enterprise deployment with European data residency
- Open weight: Many models available as open-weight releases
- Cost-effective: Very competitive pricing for high-volume workloads
DeepSeek strengths
- Ultra-low pricing: Among the cheapest API pricing available
- Reasoning: R1 model for chain-of-thought reasoning
- Coding: Dedicated Coder model for code generation
- Open source: Fully open models for self-hosting
- Long context: Large context windows for document analysis
When to choose Mistral
- You need strong European language support (French, German, etc.)
- You require EU data residency or on-premise deployment
- You need specialized coding models (Codestral, Devstral)
- Open-weight models are important for your use case
- You want European-headquartered provider compliance
When to choose DeepSeek
- Cost is your primary concern
- You need strong reasoning capabilities (R1)
- You want to self-host for complete control
- You need a dedicated coding model
- You're building high-volume, cost-sensitive applications
Compare side by side
Ready to compare specific models? Use our tools:
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Frequently asked questions
Which provider is cheaper?
Both providers are very cost-effective. DeepSeek generally offers lower per-token pricing, while Mistral provides competitive rates with additional enterprise features like European data residency.
Which is better for coding?
Both offer strong coding models. Mistral has Codestral and Devstral, while DeepSeek has a dedicated Coder model. Your choice may depend on language support, pricing, and deployment preferences.
Which is better for reasoning?
DeepSeek's R1 model is specifically designed for chain-of-thought reasoning. Mistral offers general-purpose reasoning through its larger models, but DeepSeek R1 is often more cost-effective for complex reasoning tasks.
Can I self-host both providers' models?
Both providers offer open-weight models that can be self-hosted. DeepSeek's models are fully open-source, while Mistral provides open-weight releases for many of its models.
Which is better for European languages?
Mistral has stronger European language support, particularly for French and German, with a European headquarters and EU data residency options. DeepSeek handles European languages well but is based in China.