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GPT-5.3 Codex vs GLM-4.7
A detailed comparison of GPT-5.3 Codex (OpenAI) and GLM-4.7 (Zhipu AI) across pricing, performance, and features.
Pricing Comparison
| Metric | GPT-5.3 Codex | GLM-4.7 | Difference |
|---|---|---|---|
| Input / 1M tokens | $2.00 | $0.60 | -70% |
| Output / 1M tokens | $16.00 | $2.20 | -86% |
| Context window | 200K | 200K | — |
| Max output | 65.536K | 128K | — |
Benchmark Comparison
| Benchmark | GPT-5.3 Codex | GLM-4.7 |
|---|---|---|
| MMLU-Pro | 90% | 84.3% |
| HumanEval | 96.5% | — |
| GPQA | 78% | 85.7% |
Capabilities
| Capability | GPT-5.3 Codex | GLM-4.7 |
|---|---|---|
| code | ✓ | ✓ |
| reasoning | ✓ | ✓ |
| text | ✓ | ✓ |
| tool-use | ✓ | ✗ |
| vision | ✓ | ✓ |
GPT-5.3 Codex Strengths
- ✓Best coding model from OpenAI
- ✓Large output window (65K tokens)
- ✓Strong reasoning for complex tasks
GPT-5.3 Codex Weaknesses
- ✗API access not yet available
- ✗Premium pricing
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: GLM-4.7 is the more affordable option at $0.6/$2.2 per 1M tokens.
Higher benchmarks: GPT-5.3 Codex scores higher on average across available benchmarks (88.2% avg).
Choose GLM-4.7 if cost matters most. Choose GPT-5.3 Codex if you need the best possible quality for complex tasks.