Model comparison
GLM-5.3 vs GPT-4.5
GLM-5.3 is the stronger model overall, scoring 54.8 to 37.2 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. GLM-5.3 scores higher in 9 categories and GPT-4.5 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GLM-5.3 leads 46.1 to 13.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 91.1% for GLM-5.3 and 37.8% for GPT-4.5.
- GLM-5.3 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.3 | GPT-4.5 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 54.8 | 37.2 |
| Released | 2026-08-14 | 2025-02-27 |
| Weights | Open | Proprietary |
| Context window | 1M | — |
| Max output | 131K | — |
| Input $ / M tokens | $1.40 | — |
| Output $ / M tokens | $4.40 | — |
| Results tracked | 42 | 42 |
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Category by category
Coding GLM-5.3 leads
GLM-5.3: 59.5 (#14), GPT-4.5: 42.2 (#109)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| WeirdML | 75.4% | 39.4% |
| LMArena Coding | 1496 | 1396 |
| DeepSWE | 69% | — |
| FrontierCode | 40.1% | — |
| Aider Polyglot | — | 44.9% |
| CursorBench | 42.6% | — |
| LMArena WebDev | 1622 | — |
| FrontierSWE | 30.2% | — |
| SciCode | 59% | — |
| LiveBench Coding | — | 75.2% |
| ALE-Bench | 1,317 | — |
Agentic & Tool Use GLM-5.3 leads
GLM-5.3: 36.4 (#38), GPT-4.5: 27.9 (#97)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| APEX-Agents | 56.6% | — |
| Cybench | — | 17.5% |
| Vending-Bench 2 | 8,164 | — |
Reasoning GLM-5.3 leads
GLM-5.3: 46.1 (#46), GPT-4.5: 13.9 (#330)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| LMArena Hard Prompts | 1489 | 1403 |
| Epoch Capabilities Index | 155.61 | 136.74 |
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 34.5% |
| NYT Connections (extended) | 74.2% | — |
| ARC-AGI-1 | — | 10.3% |
| CritPt | 19.1% | — |
| Chess Puzzles | 21% | — |
| EnigmaEval | — | 3.2% |
| LiveBench Reasoning | — | 71.1% |
| Mystery Game Puzzles | 33% | — |
| DTBench | 87.7% | — |
| LiveBench Data Analysis | — | 64.3% |
| LMCA | 55.5% | — |
| Bench to the Future 3 | 0.15 | — |
| ForecastBench | — | 61.7 |
| LiveBench | — | 69% |
Math GLM-5.3 leads
GLM-5.3: 62.3 (#33), GPT-4.5: 32.6 (#211)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.1% | 37.8% |
| LMArena Math | 1489 | 1412 |
| FrontierMath (Tiers 1-3) | 68.8% | — |
| FrontierMath Tier 4 | 29.3% | — |
| ProofBench | 49% | — |
| LiveBench Math | — | 69.3% |
| MATH Level 5 | — | 78.6% |
Knowledge GLM-5.3 leads
GLM-5.3: 58.3 (#37), GPT-4.5: 32.5 (#211)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| GPQA Diamond | 90.9% | 68.7% |
| LMArena Expert | 1516 | 1394 |
| Humanity's Last Exam | — | 5.4% |
| SimpleQA Verified | 41% | — |
| Confabulations | — | 13.6% |
Multimodal Not comparable
GLM-5.3: —, GPT-4.5: 37.6 (#71)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| LMArena Vision | — | 1195 |
| VPCT | — | 45% |
Multilingual GLM-5.3 leads
GLM-5.3: 55.7 (#28), GPT-4.5: 52.5 (#83)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| LMArena Non-English | 1457 | 1413 |
| LMArena Chinese | 1528 | 1421 |
| LMArena French | 1499 | 1418 |
| LMArena German | 1499 | 1457 |
| LMArena Japanese | 1453 | 1416 |
| LMArena Korean | 1472 | 1392 |
| LMArena Russian | 1463 | 1419 |
| LMArena Spanish | 1460 | — |
Instruction Following GLM-5.3 leads
GLM-5.3: 77.5 (#23), GPT-4.5: 72.6 (#134)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| LMArena Instruction Following | 1477 | 1404 |
| LiveBench Instruction Following | — | 72.3% |
Long Context GLM-5.3 leads
GLM-5.3: 45.4 (#41), GPT-4.5: 40.4 (#155)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| LMArena Longer Query | 1482 | 1406 |
| Fiction.LiveBench | — | 63.9% |
Writing & Preference GLM-5.3 leads
GLM-5.3: 75.7 (#6), GPT-4.5: 56.9 (#134)
| Benchmark | GLM-5.3 | GPT-4.5 |
|---|---|---|
| LMArena Text | 1471 | 1417 |
| LMArena Creative Writing | 1457 | 1394 |
| EQ-Bench Creative Writing | 2075 | 1258 |
| LMArena Multi-Turn | 1472 | 1444 |
| Short-Story Creative Writing | — | 75.6% |
| LiveBench Language | — | 61.5% |
Frequently asked questions
Is GLM-5.3 better than GPT-4.5?
GLM-5.3 is the stronger model overall, scoring 54.8 to 37.2 on the Noometry Index.
Is GLM-5.3 or GPT-4.5 better for coding?
GLM-5.3 scores higher on coding benchmarks: 59.5 versus 42.2 in the Noometry coding category.
How many benchmarks do GLM-5.3 and GPT-4.5 share?
21 benchmarks have published results for both models. GLM-5.3 has 42 scored results on Noometry and GPT-4.5 has 42.