Model comparison
GLM-4.5V vs GPT-5-Codex
GLM-4.5V is the stronger model overall, scoring 39.2 to 37.3 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GLM-4.5V scores higher in 0 categories and GPT-5-Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 26.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 70.3% for GPT-5-Codex.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex accepts more context: 400K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | GPT-5-Codex | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 39.2 | 37.3 |
| Released | 2025-08-11 | 2025-09-15 |
| Weights | Open | Proprietary |
| Context window | 64K | 400K |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.60 | $1.25 |
| Output $ / M tokens | $1.80 | $10 |
| Results tracked | 15 | 3 |
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Category by category
Coding GPT-5-Codex leads
GLM-4.5V: 38.9 (#152), GPT-5-Codex: 41.9 (#100)
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| WeirdML | — | 54.5% |
| LMArena Coding | 1347 | — |
Agentic & Tool Use Not comparable
GLM-4.5V: —, GPT-5-Codex: 30.8 (#66)
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
Reasoning GPT-5-Codex leads
GLM-4.5V: 26.5 (#118), GPT-5-Codex: 30.0 (#80)
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 70.3% |
| LMArena Hard Prompts | 1335 | — |
Math Not comparable
GLM-4.5V: 34.7 (#157), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Math | 1353 | — |
Knowledge Not comparable
GLM-4.5V: 36.8 (#155), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.9 (#172), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1304 | — |
| LMArena Chinese | 1338 | — |
| LMArena Russian | 1299 | — |
| LMArena Spanish | 1335 | — |
Instruction Following Not comparable
GLM-4.5V: 69.4 (#170), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#166), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1305 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.7 (#162), GPT-5-Codex: —
| Benchmark | GLM-4.5V | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1333 | — |
Frequently asked questions
Is GLM-4.5V better than GPT-5-Codex?
GLM-4.5V is the stronger model overall, scoring 39.2 to 37.3 on the Noometry Index.
Which is cheaper, GLM-4.5V or GPT-5-Codex?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-5-Codex lists at $1.25 and $10.
Is GLM-4.5V or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 64K.
How many benchmarks do GLM-4.5V and GPT-5-Codex share?
1 benchmark has published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-5-Codex has 3.