Model comparison
GLM-5V-Turbo vs GPT-5-Codex
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 200K.
Side by side
| GLM-5V-Turbo | GPT-5-Codex | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 37.9 |
| Released | 2026-04-01 | 2025-09-15 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 400K |
| Max output | 131K | 128K |
| Input $ / M tokens | $1.20 | $1.25 |
| Output $ / M tokens | $4 | $10 |
| Results tracked | 19 | 3 |
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Category by category
Coding Too close to call
GLM-5V-Turbo: 42.1 (#111), GPT-5-Codex: 42.4 (#103)
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena WebDev | 1401 | — |
| WeirdML | — | 54.5% |
| LMArena Coding | 1466 | — |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
GLM-5V-Turbo: 29.7 (#89), GPT-5-Codex: 30.9 (#83)
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| LMArena Hard Prompts | 1443 | — |
Math Not comparable
GLM-5V-Turbo: 39.4 (#106), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1441 | — |
Knowledge Not comparable
GLM-5V-Turbo: 40.6 (#117), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Expert | 1452 | — |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1431 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
GLM-5V-Turbo: 75.0 (#80), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
GLM-5V-Turbo: 62.5 (#73), GPT-5-Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than GPT-5-Codex?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 37.9 on the Noometry Index.
Which is cheaper, GLM-5V-Turbo or GPT-5-Codex?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GLM-5V-Turbo or GPT-5-Codex better for coding?
They score almost the same on coding (42.1 vs 42.4); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and GPT-5-Codex share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-5-Codex has 3.