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Gemini 2.5 Flash vs GLM-4.7
A detailed comparison of Gemini 2.5 Flash (Google) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | Gemini 2.5 Flash | GLM-4.7 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.15 | $0.60 | +300% |
| Output / 1M tokens | $0.60 | $2.20 | +267% |
| Context window | 1M | 200K | — |
| Max output | 65.536K | 128K | — |
Benchmark Comparison
| Benchmark | Gemini 2.5 Flash | GLM-4.7 |
|---|---|---|
| MMLU-Pro | 76% | 84.3% |
| HumanEval | 89.5% | — |
| GPQA | — | 85.7% |
Capabilities
| Capability | Gemini 2.5 Flash | GLM-4.7 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✓ |
Gemini 2.5 Flash Strengths
- ✓One of the cheapest models available
- ✓1M context at budget pricing
- ✓Free tier available
Gemini 2.5 Flash Weaknesses
- ✗Weaker than Flash 3 on most benchmarks
- ✗Output quality inconsistent on edge cases
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: Gemini 2.5 Flash is the more affordable option at $0.15/$0.6 per 1M tokens.
Higher benchmarks: GLM-4.7 scores higher on average across available benchmarks (85.0% avg).
Larger context: Gemini 2.5 Flash supports 1M tokens.
Choose Gemini 2.5 Flash if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.