GLM-5 vs GPT-5.2 Codex: Specs & Benchmark Comparison
| Characteristic | GLM-5 | GPT-5.2 Codex |
|---|---|---|
| Company | Zhipu AI | OpenAI |
| Release Date | February 10, 2026 | January 13, 2026 |
| Parameters | 744B | — |
| Multimodal | No | Yes |
| Context (input) | 200K | 400K |
| Context (output) | 128K | 128K |
| Input Price / 1M | — | $1.75 |
| Output Price / 1M | $0.00 | $14.00 |
| Average Score | 0.7 | 0.6 |
| Benchmarks | ||
| Terminal-Bench 2.0 | 0.6 | 0.6 |
Visual Benchmark Comparison
GLM-5
GPT-5.2 Codex
Terminal-Bench 2.00.6 vs 0.6
0.6
0.6
Verdict
Both models show equal results — the choice depends on your specific use case.
Overall Performance
Both models show comparable average scores: GLM-5 — 0.7, GPT-5.2 Codex — 0.6.
Context Window
GPT-5.2 Codex supports a larger context: 400K vs 200K tokens.
Recency
GLM-5 is newer: released 2/10/2026 vs 1/13/2026.
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The GLM-5 and GPT-5.2 Codex comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5 or GPT-5.2 Codex page. See also the complete list of AI model comparisons.