GPT-4 Turbo vs Mistral Large 3
Performance benchmarks + pricing comparison — updated April 2026
GPT-4 Turbo
OpenAIPrevious generation high-performance model. Good for complex reasoning tasks.
| Input | $10.00/M |
| Output | $30.00/M |
| Context | 128K tokens |
| Best For | Complex reasoning, data extraction, analysis |
| Benchmark | 70/100 |
Mistral Large 3
MistralLatest Mistral flagship model. Improved coding and multilingual capability over Large 2.
| Input | $2.00/M |
| Output | $6.00/M |
| Context | 128K tokens |
| Best For | Enterprise coding, European data sovereignty, multilingual tasks |
Cost Comparison by Scenario
Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.
| Scenario | GPT-4 Turbo | Mistral Large 3 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | $0.25 | Mistral Large 3 saves $1.00 (80%) |
| Medium Feature (10K lines) | $9.50 | $1.90 | Mistral Large 3 saves $7.60 (80%) |
| Large Project (50K lines) | $47.50 | $9.50 | Mistral Large 3 saves $38.00 (80%) |
| Code Review (5K lines) | $2.50 | $0.50 | Mistral Large 3 saves $2.00 (80%) |
Verdict
Mistral Large 3 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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