DeepSeek R1 V3.2 vs Mistral Medium 3.1
DeepSeek R1 V3.2 vs Mistral Medium 3.1: DeepSeek R1 V3.2 is cheaper for input-heavy usage ($0.28/M vs $0.40/M input tokens), while Mistral Medium 3.1 is better for long-context tasks (131,072 tokens).
Direct answer: choose DeepSeek R1 V3.2 for lower token spend and choose Mistral Medium 3.1 when your workload needs longer context.
Compare input and output token pricing, context windows, and monthly cost estimates on one page so you can pick the cheaper model fast.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
DeepSeek R1 V3.2
Mistral Medium 3.1
Cost Differences
Mistral Medium 3.1 costs more than DeepSeek R1 V3.2
Quick Recommendation
Winner for direct API pricing: DeepSeek R1 V3.2. At the default workload, DeepSeek R1 V3.2 saves about $2.73/month ($33.215/year) versus Mistral Medium 3.1.
Feature Comparison
| Feature | DeepSeek R1 V3.2 | Mistral Medium 3.1 |
|---|---|---|
| Provider | DeepSeek | Mistral AI |
| Input Price | $0.28/1M tokens | $0.40/1M tokens |
| Output Price | $0.42/1M tokens | $2.00/1M tokens |
| Context Window | 128,000 tokens | 131,072 tokens |
| Max Output | 65,536 tokens | 16,384 tokens |
| Category | reasoning | balanced |
| Capabilities | textreasoningcode | textcodereasoning |
| Release Date | 1/20/2025 | 8/1/2025 |
DeepSeek R1 V3.2 vs Mistral Medium 3.1: Which Should You Choose?
Choosing between DeepSeek R1 V3.2 and Mistral Medium 3.1 depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 V3.2 is the more affordable option at $0.28/1M input tokens — 30% cheaper than Mistral Medium 3.1. Meanwhile, Mistral Medium 3.1 offers a significantly larger context window at 131,072 tokens vs 128,000 for DeepSeek R1 V3.2.
These models come from different providers — DeepSeek and Mistral AI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to Mistral AIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.
These models target different tiers: DeepSeek R1 V3.2 is a reasoning model while Mistral Medium 3.1 is balanced. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while Mistral Medium 3.1 offers better value for routine operations.
Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $2.00 for Mistral Medium 3.1. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek R1 V3.2 has the edge here at $0.42/1M output tokens.
Best Use Cases
Choose DeepSeek R1 V3.2 when:
- • Budget is a primary concern
- • You need longer outputs (up to 65,536 tokens)
- • You're already using DeepSeek's API ecosystem
Choose Mistral Medium 3.1 when:
- • You need a larger context window (131,072 tokens)
- • You're already using Mistral AI's API ecosystem
Pros and Caveats at a Glance
DeepSeek R1 V3.2
- • Input pricing: $0.28/M tokens
- • Output pricing: $0.42/M tokens
- • Context window: 128,000 tokens
- • Max output: 65,536 tokens
Watch out for
- • Smaller context window than Mistral Medium 3.1
Mistral Medium 3.1
- • Input pricing: $0.40/M tokens
- • Output pricing: $2.00/M tokens
- • Context window: 131,072 tokens
- • Max output: 16,384 tokens
Watch out for
- • Higher input cost than DeepSeek R1 V3.2
- • Higher output cost than DeepSeek R1 V3.2
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
DeepSeek R1 V3.2 (DeepSeek)
Mistral Medium 3.1 (Mistral AI)
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Sign Up for Mistral AI →Frequently Asked Questions
Which is cheaper, DeepSeek R1 V3.2 or Mistral Medium 3.1?▼
What is the context window difference between DeepSeek R1 V3.2 and Mistral Medium 3.1?▼
Which model is better for AI Agent / Agentic Workflows?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare DeepSeek and Mistral AI API pricing beyond this model matchup?▼
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