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Gemini 2.5 Pro vs GLM-5
A detailed comparison of Gemini 2.5 Pro (Google) and GLM-5 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | Gemini 2.5 Pro | GLM-5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.25 | $1.00 | -20% |
| Output / 1M tokens | $10.00 | $3.20 | -68% |
| Context window | 1M | 200K | — |
| Max output | 65.536K | 128K | — |
Benchmark Comparison
| Benchmark | Gemini 2.5 Pro | GLM-5 |
|---|---|---|
| MMLU-Pro | 87.5% | 70.4% |
| HumanEval | 93.5% | 91% |
| GPQA | 76% | 72% |
Capabilities
| Capability | Gemini 2.5 Pro | GLM-5 |
|---|---|---|
| audio | ✓ | ✗ |
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✓ |
| vision | ✓ | ✓ |
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- ✗Being superseded by Gemini 3 Pro
GLM-5 Strengths
- ✓Open-weight (MIT license) — self-hostable
- ✓77.8% SWE-Bench Verified — top-tier coding
- ✓128K max output — huge generation window
GLM-5 Weaknesses
- ✗MMLU-Pro lags behind Western flagships
- ✗744B parameters — heavy to self-host
- ✗China-based — availability concerns
Quick Verdict
Best value: GLM-5 is the more affordable option at $1/$3.2 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-5 if cost matters most. Choose Gemini 2.5 Pro if you need the best possible quality for complex tasks.