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GLM-4.7 vs o3
A detailed comparison of GLM-4.7 (Zhipu AI) and o3 (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-4.7 | o3 | Difference |
|---|---|---|---|
| Input / 1M tokens | $0.60 | $0.40 | -33% |
| Output / 1M tokens | $2.20 | $1.60 | -27% |
| Context window | 200K | 200K | — |
| Max output | 128K | 100K | — |
Benchmark Comparison
| Benchmark | GLM-4.7 | o3 |
|---|---|---|
| MMLU-Pro | 84.3% | 87% |
| HumanEval | — | 94.5% |
| GPQA | 85.7% | 79.2% |
Capabilities
| Capability | GLM-4.7 | o3 |
|---|---|---|
| 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
o3 Strengths
- ✓Recently repriced — now very cheap
- ✓Excellent logical reasoning
- ✓200K context window
o3 Weaknesses
- ✗Slower due to reasoning overhead
- ✗Overkill for simple tasks
Quick Verdict
Best value: o3 is the more affordable option at $0.4/$1.6 per 1M tokens.
Higher benchmarks: o3 scores higher on average across available benchmarks (86.9% avg).
Choose o3 if cost matters most. Choose GLM-4.7 if you need the best possible quality for complex tasks.