GPT-3.5 Turbo vs Mistral Large 24.07
Performance benchmarks + pricing comparison — updated April 2026
GPT-3.5 Turbo
OpenAIBudget model for simple tasks. Being phased out but still widely used.
| Input | $0.500/M |
| Output | $1.50/M |
| Context | 16K tokens |
| Best For | Simple chatbots, basic text generation |
| Benchmark | 40/100 |
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-3.5 Turbo | Mistral Large 24.07 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $0.06 | $0.25 | GPT-3.5 Turbo saves $0.19 (75%) |
| Medium Feature (10K lines) | $0.48 | $1.90 | GPT-3.5 Turbo saves $1.43 (75%) |
| Large Project (50K lines) | $2.38 | $9.50 | GPT-3.5 Turbo saves $7.13 (75%) |
| Code Review (5K lines) | $0.13 | $0.50 | GPT-3.5 Turbo saves $0.38 (75%) |
Verdict
GPT-3.5 Turbo wins on both price and performance — $0.500/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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