GPT-4 vs Mistral Large 24.07
Performance benchmarks + pricing comparison — updated April 2026
GPT-4
OpenAIOriginal GPT-4. Most expensive OpenAI model, largely superseded by newer options.
| Input | $30.00/M |
| Output | $60.00/M |
| Context | 8K tokens |
| Best For | Legacy applications requiring GPT-4 specifically |
| Benchmark | 68/100 |
Mistral Large 24.07
MistralMistral's enterprise-grade large model. Strong multilingual and coding capabilities.
| Input | $2.00/M |
| Output | $6.00/M |
| Context | 128K tokens |
| Best For | Enterprise applications, multilingual tasks, coding |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | GPT-4 | Mistral Large 24.07 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $2.85 | $0.25 | Mistral Large 24.07 saves $2.60 (91%) |
| Medium Feature (10K lines) | $22.50 | $1.90 | Mistral Large 24.07 saves $20.60 (92%) |
| Large Project (50K lines) | $112.50 | $9.50 | Mistral Large 24.07 saves $103.00 (92%) |
| Code Review (5K lines) | $6.75 | $0.50 | Mistral Large 24.07 saves $6.25 (93%) |
Verdict
Mistral Large 24.07 wins on both price and performance — $2.00/M input with a benchmark score of N/A/100.
For most developers, this is the clear choice between these two models.
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