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GLM-5 vs GPT-5.2 Codex
A detailed comparison of GLM-5 (Zhipu AI) and GPT-5.2 Codex (OpenAI) across pricing, performance, and features.
Pricing Comparison
| Metric | GLM-5 | GPT-5.2 Codex | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.00 | $1.75 | +75% |
| Output / 1M tokens | $3.20 | $14.00 | +338% |
| Context window | 200K | 200K | — |
| Max output | 128K | 65.536K | — |
Benchmark Comparison
| Benchmark | GLM-5 | GPT-5.2 Codex |
|---|---|---|
| MMLU-Pro | 70.4% | 89% |
| HumanEval | 91% | 95.5% |
| GPQA | 72% | 76% |
Capabilities
| Capability | GLM-5 | GPT-5.2 Codex |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✓ |
| vision | ✓ | ✓ |
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
GPT-5.2 Codex Strengths
- ✓Strong coding performance
- ✓Available via API now
- ✓200K context window
GPT-5.2 Codex Weaknesses
- ✗Being superseded by 5.3
- ✗Higher output cost than some competitors
Quick Verdict
Best value: GLM-5 is the more affordable option at $1/$3.2 per 1M tokens.
Higher benchmarks: GPT-5.2 Codex scores higher on average across available benchmarks (86.8% avg).
Choose GLM-5 if cost matters most. Choose GPT-5.2 Codex if you need the best possible quality for complex tasks.