Model comparison
GLM-4.5V vs GPT-5.3 Chat
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 39.2 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and GPT-5.3 Chat in 8 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 52.7.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GPT-5.3 Chat accepts more context: 128K tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | GPT-5.3 Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 39.2 | 42.1 |
| Released | 2025-08-11 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 64K | 128K |
| Max output | 16K | 16K |
| Input $ / M tokens | $0.60 | $1.75 |
| Output $ / M tokens | $1.80 | $14 |
| Results tracked | 15 | 18 |
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Category by category
Coding GPT-5.3 Chat leads
GLM-4.5V: 38.9 (#152), GPT-5.3 Chat: 40.8 (#124)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1347 | 1408 |
Reasoning Too close to call
GLM-4.5V: 26.5 (#118), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1335 | 1399 |
| Kagi LLM Benchmark | 59.8% | — |
Math Too close to call
GLM-4.5V: 34.7 (#157), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1353 | 1389 |
Knowledge GPT-5.3 Chat leads
GLM-4.5V: 36.8 (#155), GPT-5.3 Chat: 38.2 (#137)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1353 | 1397 |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), GPT-5.3 Chat: —
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GPT-5.3 Chat leads
GLM-4.5V: 44.9 (#172), GPT-5.3 Chat: 50.5 (#119)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1304 | 1383 |
| LMArena Chinese | 1338 | 1433 |
| LMArena Russian | 1299 | 1400 |
| LMArena Spanish | 1335 | 1371 |
| LMArena French | — | 1398 |
| LMArena German | — | 1384 |
| LMArena Japanese | — | 1351 |
| LMArena Korean | — | 1347 |
Instruction Following GPT-5.3 Chat leads
GLM-4.5V: 69.4 (#170), GPT-5.3 Chat: 73.0 (#124)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1311 | 1378 |
Long Context GPT-5.3 Chat leads
GLM-4.5V: 39.6 (#166), GPT-5.3 Chat: 42.6 (#115)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1305 | 1396 |
Writing & Preference GPT-5.3 Chat leads
GLM-4.5V: 52.7 (#162), GPT-5.3 Chat: 63.3 (#65)
| Benchmark | GLM-4.5V | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1333 | 1389 |
| LMArena Creative Writing | 1295 | 1356 |
| LMArena Multi-Turn | 1333 | 1413 |
| EQ-Bench Creative Writing | — | 1690 |
Frequently asked questions
Is GLM-4.5V better than GPT-5.3 Chat?
GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 39.2 on the Noometry Index. GLM-4.5V costs 5.3× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5V or GPT-5.3 Chat?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GLM-4.5V or GPT-5.3 Chat better for coding?
GPT-5.3 Chat scores higher on coding benchmarks: 40.8 versus 38.9 in the Noometry coding category.
Which has the bigger context window?
GPT-5.3 Chat does, with 128K tokens against 64K.
How many benchmarks do GLM-4.5V and GPT-5.3 Chat share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-5.3 Chat has 18.