GPT-4 Turbo vs MiniMax-M1
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 |
MiniMax-M1
MiniMaxMiniMax's flagship model. Strong performance in Chinese and English with competitive pricing.
| Input | $0.150/M |
| Output | $0.600/M |
| Context | 4M tokens |
| Best For | Chat applications, Chinese-English tasks, creative writing |
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 | MiniMax-M1 | Savings |
|---|---|---|---|
| Small Script (1K lines) | $1.25 | $0.02 | MiniMax-M1 saves $1.23 (98%) |
| Medium Feature (10K lines) | $9.50 | $0.17 | MiniMax-M1 saves $9.33 (98%) |
| Large Project (50K lines) | $47.50 | $0.86 | MiniMax-M1 saves $46.64 (98%) |
| Code Review (5K lines) | $2.50 | $0.04 | MiniMax-M1 saves $2.46 (98%) |
Verdict
MiniMax-M1 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.
Compare with Other Models
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