← All Comparisons
GLM-4.7 vs Mistral Large 3
A detailed comparison of GLM-4.7 (Zhipu AI) and Mistral Large 3 (Mistral) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | Mistral Large 3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $2.00 | +233% |
| Output / 1M tokens | $2.20 | $5.00 | +127% |
| Context window | 200K | 128K | — |
| Max output | 128K | 16.384K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | Mistral Large 3 |
|---|---|---|
| MMLU-Pro | 84.3% | 83% |
| HumanEval | — | 91% |
| GPQA | 85.7% | — |
Capabilities
| Capability | GLM-4.7 | Mistral Large 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 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
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.