Model comparison
GLM-4.5 vs GPT-5.3 Chat
GLM-4.5 and GPT-5.3 Chat score almost the same on the Noometry Index (42.0 vs 42.8), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. GLM-4.5 scores higher in 4 categories and GPT-5.3 Chat in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.1 to 57.5.
- GLM-4.5 is cheaper at $0.60 / $2.20 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
- GLM-4.5 accepts more context: 131K tokens versus 128K.
- GLM-4.5 has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5 | GPT-5.3 Chat | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 42.0 | 42.8 |
| Released | 2025-07-27 | 2026-03-03 |
| Weights | Open | Proprietary |
| Context window | 131K | 128K |
| Max output | 98K | 16K |
| Input $ / M tokens | $0.60 | $1.75 |
| Output $ / M tokens | $2.20 | $14 |
| Results tracked | 27 | 18 |
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Category by category
Coding Too close to call
GLM-4.5: 41.4 (#125), GPT-5.3 Chat: 41.4 (#124)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1434 | 1408 |
| SWE-bench Verified (bash only) | 54.2% | — |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning Too close to call
GLM-4.5: 28.6 (#100), GPT-5.3 Chat: 28.5 (#102)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1399 |
| Kagi LLM Benchmark | 57.9% | — |
Math Too close to call
GLM-4.5: 39.0 (#116), GPT-5.3 Chat: 38.2 (#142)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1427 | 1389 |
Knowledge GPT-5.3 Chat leads
GLM-4.5: 35.9 (#179), GPT-5.3 Chat: 38.8 (#140)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1433 | 1397 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual GLM-4.5 leads
GLM-4.5: 52.8 (#77), GPT-5.3 Chat: 50.3 (#124)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1417 | 1382 |
| LMArena Chinese | 1465 | 1432 |
| LMArena French | 1418 | 1397 |
| LMArena German | 1407 | 1384 |
| LMArena Japanese | 1415 | 1352 |
| LMArena Korean | 1380 | 1346 |
| LMArena Russian | 1414 | 1400 |
| LMArena Spanish | 1454 | 1371 |
Instruction Following GLM-4.5 leads
GLM-4.5: 74.1 (#104), GPT-5.3 Chat: 72.8 (#129)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1404 | 1378 |
Long Context GPT-5.3 Chat leads
GLM-4.5: 38.2 (#201), GPT-5.3 Chat: 42.6 (#120)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1412 | 1396 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference GPT-5.3 Chat leads
GLM-4.5: 57.5 (#127), GPT-5.3 Chat: 63.1 (#68)
| Benchmark | GLM-4.5 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1430 | 1389 |
| LMArena Creative Writing | 1395 | 1355 |
| EQ-Bench Creative Writing | 1343 | 1690 |
| LMArena Multi-Turn | 1415 | 1412 |
| Short-Story Creative Writing | 73.4% | — |
Frequently asked questions
Is GLM-4.5 better than GPT-5.3 Chat?
GLM-4.5 and GPT-5.3 Chat score almost the same on the Noometry Index (42.0 vs 42.8), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5 or GPT-5.3 Chat?
GLM-4.5 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.
Is GLM-4.5 or GPT-5.3 Chat better for coding?
They score almost the same on coding (41.4 vs 41.4); test both on your own repository before choosing.
Which has the bigger context window?
GLM-4.5 does, with 131K tokens against 128K.
How many benchmarks do GLM-4.5 and GPT-5.3 Chat share?
18 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and GPT-5.3 Chat has 18.