Mistral Large 2 vs DeepSeek R1
Performance benchmarks + pricing comparison — updated April 2026
Mistral Large 2
MistralMistral's flagship model. Strong multilingual and coding capability.
| Input | $2.00/M |
| Output | $6.00/M |
| Context | 128K tokens |
| Best For | Enterprise coding, multilingual tasks |
| Benchmark | 65/100 |
DeepSeek R1
DeepSeekDeepSeek's reasoning model. Open-weight model that rivals o1 for complex reasoning tasks.
| Input | $0.140/M |
| Output | $0.550/M |
| Context | 128K tokens |
| Best For | Math, coding, science reasoning at low cost |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | Mistral Large 2 | DeepSeek R1 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.25 | $0.02 | DeepSeek R1 saves $0.23 (91%) |
| Medium Feature (10K lines) | $1.90 | $0.16 | DeepSeek R1 saves $1.74 (92%) |
| Large Project (50K lines) | $9.50 | $0.80 | DeepSeek R1 saves $8.71 (92%) |
| Code Review (5K lines) | $0.50 | $0.04 | DeepSeek R1 saves $0.46 (92%) |
Verdict
DeepSeek R1 wins on both price and performance — $0.140/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
Compare with Other Models
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