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GLM-4.7 vs Mistral Medium 3
A detailed comparison of GLM-4.7 (Zhipu AI) and Mistral Medium 3 (Mistral) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | Mistral Medium 3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $0.40 | -33% |
| Output / 1M tokens | $2.20 | $2.00 | -9% |
| Context window | 200K | 128K | — |
| Max output | 128K | 16.384K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | Mistral Medium 3 |
|---|---|---|
| MMLU-Pro | 84.3% | 76% |
| HumanEval | — | 87% |
| GPQA | 85.7% | — |
Capabilities
| Capability | GLM-4.7 | Mistral Medium 3 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✗ |
| text | ✓ | ✓ |
| tool-use | ✗ | ✓ |
| vision | ✓ | ✓ |
GLM-4.7 Strengths
- ✓Excellent value — strong benchmarks at $0.60/$2.20
- ✓Open-weight (MIT license)
- ✓Top scores on AIME 25 and BrowseComp
GLM-4.7 Weaknesses
- ✗No tool-use support yet
- ✗358B parameters — still heavy for self-hosting
- ✗Smaller ecosystem than OpenAI/Anthropic
Mistral Medium 3 Strengths
- ✓Very affordable for mid-tier quality
- ✓Good multilingual performance
Mistral Medium 3 Weaknesses
- ✗Lags behind on reasoning benchmarks
- ✗Smaller community and tooling
Quick Verdict
Best value: Mistral Medium 3 is the more affordable option at $0.4/$2 per 1M tokens.
Higher benchmarks: GLM-4.7 scores higher on average across available benchmarks (85.0% avg).
Larger context: GLM-4.7 supports 200K tokens.
Choose Mistral Medium 3 if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.