DeepSeek R1 (Reasoning) vs Mistral Large 2
Compare DeepSeek R1 (Reasoning) vs Mistral Large 2 API pricing, token costs, context windows, and latency. See which model is cheaper and better for your stack.
DeepSeek R1 (Reasoning) charges $0.55/1M input and $2.19/1M output tokens, compared to Mistral Large 2 at $2.00/1M input and $6.00/1M output. DeepSeek R1 (Reasoning) is 3.6x cheaper on input tokens. In benchmark reasoning, DeepSeek R1 (Reasoning) holds the higher intelligence rating (96/100). For latency-critical streaming, DeepSeek R1 (Reasoning) delivers 65 t/s (650ms TTFT) while Mistral Large 2 provides 80 t/s (390ms TTFT).
Full Metric & Specification Comparison
| Metric | DeepSeek R1 (Reasoning) | Mistral Large 2 | Advantage |
|---|---|---|---|
| Provider | DeepSeek | Mistral | - |
| Input Token Cost (1M) | $0.550 | $2.000 | DeepSeek R1 (Reasoning) |
| Output Token Cost (1M) | $2.190 | $6.000 | DeepSeek R1 (Reasoning) |
| Context Window | 128k tokens | 128k tokens | Tie |
| Intelligence Benchmark Score | 96/100 | 89/100 | DeepSeek R1 (Reasoning) |
| Streaming Latency | Moderate | Fast | - |
Key Architectural Takeaways
- Input Token Cost: DeepSeek R1 (Reasoning) is $0.55/1M vs Mistral Large 2 at $2.00/1M
- Output Token Cost: DeepSeek R1 (Reasoning) is $2.19/1M vs Mistral Large 2 at $6.00/1M
- Context Window: DeepSeek R1 (Reasoning) supports 128k tokens vs Mistral Large 2 with 128k tokens
- Benchmark Intelligence Rating: DeepSeek R1 (Reasoning) scores 96/100 vs Mistral Large 2 at 89/100
- Inference Latency: DeepSeek R1 (Reasoning) is rated Moderate vs Mistral Large 2 rated Fast
Calculate Your Team's Exact Bill Difference
Drag the sliders below to see real-time cost divergences based on your daily token consumption.
Deploying DeepSeek R1 (Reasoning) over Mistral Large 2 saves $50.33/mo ($604/yr) at this volume.
Frequently Asked Questions
Is DeepSeek R1 (Reasoning) cheaper than Mistral Large 2?
DeepSeek R1 (Reasoning) is significantly more economical, charging $0.55/1M input compared to $2.00/1M for Mistral Large 2.
Which model should I choose for production?
If your primary constraint is API cost and high query throughput, choose DeepSeek R1 (Reasoning). If you require peak reasoning accuracy and complex tool use, DeepSeek R1 (Reasoning) is recommended.
How does context window compare between DeepSeek R1 (Reasoning) and Mistral Large 2?
DeepSeek R1 (Reasoning) offers the larger context window (128k tokens), allowing you to pass significantly larger codebases or documents without chunking.
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