Model comparison
GLM-5V-Turbo vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 2.5× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GLM-5V-Turbo scores higher in 0 categories and GPT-5.3 Codex in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 42.1.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Codex.
- GPT-5.3 Codex accepts more context: 400K tokens versus 200K.
Side by side
| GLM-5V-Turbo | GPT-5.3 Codex | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 45.8 |
| Released | 2026-04-01 | 2026-02-05 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 400K |
| Max output | 131K | 128K |
| Input $ / M tokens | $1.20 | $1.75 |
| Output $ / M tokens | $4 | $14 |
| Results tracked | 19 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
GLM-5V-Turbo: 42.1 (#111), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena WebDev | 1401 | 1409 |
| SWE-bench Verified | — | 74.8% |
| WeirdML | — | 79.3% |
| LMArena Coding | 1466 | — |
| ALE-Bench | — | 1,655 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, GPT-5.3 Codex: 48.0 (#9)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| Terminal-Bench | — | 78.4% |
| METR Time Horizons | — | 74.5% |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
GLM-5V-Turbo: 29.7 (#89), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Hard Prompts | 1443 | — |
| Epoch Capabilities Index | — | 156.77 |
Math Not comparable
GLM-5V-Turbo: 39.4 (#106), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Math | 1441 | — |
Knowledge Not comparable
GLM-5V-Turbo: 40.6 (#117), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Expert | 1452 | — |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 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-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context Not comparable
GLM-5V-Turbo: 44.0 (#80), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
GLM-5V-Turbo: 62.5 (#73), GPT-5.3 Codex: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 43.8 on the Noometry Index. GLM-5V-Turbo costs 2.5× less per token, which makes it the better buy when GPT-5.3 Codex's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or GPT-5.3 Codex?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-5.3 Codex lists at $1.75 and $14.
Is GLM-5V-Turbo or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 42.1 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Codex does, with 400K tokens against 200K.
How many benchmarks do GLM-5V-Turbo and GPT-5.3 Codex share?
1 benchmark has published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-5.3 Codex has 8.