GPT-4 Turbo vs Pixtral 12B
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 |
Pixtral 12B
MistralMistral's lightweight vision-language model. Affordable image understanding with good performance.
| Input | $0.150/M |
| Output | $0.150/M |
| Context | 32K tokens |
| Best For | Image understanding, visual QA, cost-efficient multimodal apps |
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 | Pixtral 12B | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | <$0.01 | Pixtral 12B saves $1.24 (99%) |
| Medium Feature (10K lines) | $9.50 | $0.08 | Pixtral 12B saves $9.42 (99%) |
| Large Project (50K lines) | $47.50 | $0.41 | Pixtral 12B saves $47.09 (99%) |
| Code Review (5K lines) | $2.50 | $0.03 | Pixtral 12B saves $2.47 (99%) |
Verdict
Pixtral 12B wins on both price and performance — $0.150/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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