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Mistral Large 3 vs GLM-4.7
A detailed comparison of Mistral Large 3 (Mistral) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | Mistral Large 3 | GLM-4.7 | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $0.60 | -70% |
| Output / 1M tokens | $5.00 | $2.20 | -56% |
| Context window | 128K | 200K | — |
| Max output | 16.384K | 128K | — |
Benchmark Comparison
| Benchmark | Mistral Large 3 | GLM-4.7 |
|---|---|---|
| MMLU-Pro | 83% | 84.3% |
| HumanEval | 91% | — |
| GPQA | — | 85.7% |
Capabilities
| Capability | Mistral Large 3 | GLM-4.7 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✓ |
Mistral Large 3 Strengths
- ✓Low output cost ($5/1M) for a flagship
- ✓Strong multilingual support
- ✓European data sovereignty option
Mistral Large 3 Weaknesses
- ✗Lower benchmarks than top-tier competitors
- ✗Smaller ecosystem
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: GLM-4.7 is the more affordable option at $0.6/$2.2 per 1M tokens.
Higher benchmarks: Mistral Large 3 scores higher on average across available benchmarks (87.0% avg).
Larger context: GLM-4.7 supports 200K tokens.
Choose GLM-4.7 if cost matters most. Choose Mistral Large 3 if you need the best possible quality for complex tasks.