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GLM-4.7 vs Gemini 2.5 Pro
A detailed comparison of GLM-4.7 (Zhipu AI) and Gemini 2.5 Pro (Google) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | Gemini 2.5 Pro | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $1.25 | +108% |
| Output / 1M tokens | $2.20 | $10.00 | +355% |
| Context window | 200K | 1M | — |
| Max output | 128K | 65.536K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | Gemini 2.5 Pro |
|---|---|---|
| MMLU-Pro | 84.3% | 87.5% |
| HumanEval | — | 93.5% |
| GPQA | 85.7% | 76% |
Capabilities
| Capability | GLM-4.7 | Gemini 2.5 Pro |
|---|---|---|
| audio | ✗ | ✓ |
| 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
Gemini 2.5 Pro Strengths
- ✓Competitive pricing for its capabilities
- ✓1M context window
- ✓Well-tested and stable
Gemini 2.5 Pro Weaknesses
- ✗Being superseded by Gemini 3 Pro
Quick Verdict
Best value: GLM-4.7 is the more affordable option at $0.6/$2.2 per 1M tokens.
Higher benchmarks: Gemini 2.5 Pro scores higher on average across available benchmarks (85.7% avg).
Larger context: Gemini 2.5 Pro supports 1M tokens.
Choose GLM-4.7 if cost matters most. Choose Gemini 2.5 Pro if you need the best possible quality for complex tasks.