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GLM-4.7 vs GPT-5
A detailed comparison of GLM-4.7 (Zhipu AI) and GPT-5 (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | GPT-5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $1.25 | +108% |
| Output / 1M tokens | $2.20 | $10.00 | +355% |
| Context window | 200K | 128K | — |
| Max output | 128K | 16.384K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | GPT-5 |
|---|---|---|
| MMLU-Pro | 84.3% | 88.5% |
| HumanEval | — | 95% |
| GPQA | 85.7% | 73.5% |
Capabilities
| Capability | GLM-4.7 | GPT-5 |
|---|---|---|
| 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
GPT-5 Strengths
- ✓Strong all-around performance
- ✓Good price for flagship tier
- ✓Multimodal including audio
GPT-5 Weaknesses
- ✗128K context vs 200K+ for newer models
- ✗Codex variants better for pure coding
Quick Verdict
Best value: GLM-4.7 is the more affordable option at $0.6/$2.2 per 1M tokens.
Higher benchmarks: GPT-5 scores higher on average across available benchmarks (85.7% avg).
Larger context: GLM-4.7 supports 200K tokens.
Choose GLM-4.7 if cost matters most. Choose GPT-5 if you need the best possible quality for complex tasks.