Model comparison
GLM-5V-Turbo vs GPT-5.3 Chat
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 42.8 on the Noometry Index.
Last verified . 16 shared benchmarks.
Summary
- They share 16 benchmarks with published results for both. GLM-5V-Turbo scores higher in 7 categories and GPT-5.3 Chat in 1 category; 6 gaps are clear of the uncertainty.
- GLM-5V-Turbo is cheaper at $1.20 / $4 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GLM-5V-Turbo accepts more context: 200K tokens versus 128K.
Side by side
| GLM-5V-Turbo | GPT-5.3 Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 43.8 | 42.8 |
| Released | 2026-04-01 | 2026-03-03 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 128K |
| Max output | 131K | 16K |
| Input $ / M tokens | $1.20 | $1.75 |
| Output $ / M tokens | $4 | $14 |
| Results tracked | 19 | 18 |
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Category by category
Coding Too close to call
GLM-5V-Turbo: 42.1 (#111), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1466 | 1408 |
| LMArena WebDev | 1401 | — |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1399 |
Math GLM-5V-Turbo leads
GLM-5V-Turbo: 39.4 (#106), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1441 | 1389 |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1452 | 1397 |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), GPT-5.3 Chat: —
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual GLM-5V-Turbo leads
GLM-5V-Turbo: 53.0 (#73), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1420 | 1382 |
| LMArena Chinese | 1488 | 1432 |
| LMArena French | 1444 | 1397 |
| LMArena German | 1423 | 1384 |
| LMArena Korean | 1396 | 1346 |
| LMArena Russian | 1431 | 1400 |
| LMArena Spanish | 1450 | 1371 |
| LMArena Japanese | — | 1352 |
Instruction Following GLM-5V-Turbo leads
GLM-5V-Turbo: 75.0 (#80), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1423 | 1378 |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1438 | 1396 |
Writing & Preference Too close to call
GLM-5V-Turbo: 62.5 (#73), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | GLM-5V-Turbo | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1437 | 1389 |
| LMArena Creative Writing | 1416 | 1355 |
| LMArena Multi-Turn | 1432 | 1412 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is GLM-5V-Turbo better than GPT-5.3 Chat?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 42.8 on the Noometry Index.
Which is cheaper, GLM-5V-Turbo or GPT-5.3 Chat?
GLM-5V-Turbo is cheaper. It lists at $1.20 per million input tokens and $4 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GLM-5V-Turbo or GPT-5.3 Chat better for coding?
They score almost the same on coding (42.1 vs 41.4); test both on your own repository before choosing.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 128K.
How many benchmarks do GLM-5V-Turbo and GPT-5.3 Chat share?
16 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and GPT-5.3 Chat has 18.