← All Comparisons
Mistral Medium 3 vs GLM-4.7
A detailed comparison of Mistral Medium 3 (Mistral) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Medium 3 | GLM-4.7 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.40 | $0.60 | +50% |
| Output / 1M tokens | $2.00 | $2.20 | +10% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 128K | — |
Benchmark Comparison
| Benchmark | Mistral Medium 3 | GLM-4.7 |
|---|---|---|
| MMLU-Pro | 76% | 84.3% |
| HumanEval | 87% | — |
| GPQA | — | 85.7% |
Capabilities
| Capability | Mistral Medium 3 | GLM-4.7 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✗ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✓ |
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
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
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.