Model comparison
GLM-4.5-Air vs o1-pro
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.5 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GLM-4.5-Air scores higher in 2 categories and o1-pro in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-4.5-Air leads 35.0 to 29.7.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $150 / $600 for o1-pro.
- o1-pro accepts more context: 200K tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5-Air | o1-pro | |
|---|---|---|
| Provider | Z.ai (Zhipu) | OpenAI |
| Noometry Index | 38.9 | 31.5 |
| Released | 2025-07-20 | 2025-03-19 |
| Weights | Open | Proprietary |
| Context window | 131K | 200K |
| Max output | 98K | 100K |
| Input $ / M tokens | $0.20 | $150 |
| Output $ / M tokens | $1.10 | $600 |
| Results tracked | 27 | 3 |
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Category by category
Coding Not comparable
GLM-4.5-Air: 33.3 (#259), o1-pro: —
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| GSO | 2.9% | — |
| LMArena Coding | 1397 | — |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 24.1 (#166), o1-pro: 20.4 (#239)
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| ARC-AGI-1 | — | 23.3% |
| EnigmaEval | — | 6.1% |
| LMArena Hard Prompts | 1379 | — |
| ForecastBench | 59.2 | — |
Math Not comparable
GLM-4.5-Air: 36.2 (#170), o1-pro: —
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 35.0 (#191), o1-pro: 29.7 (#234)
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| Humanity's Last Exam | 8.1% | 8.1% |
| MMLU-Pro | 76.2% | — |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1370 | — |
Multilingual Not comparable
GLM-4.5-Air: 49.1 (#135), o1-pro: —
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1426 | — |
| LMArena French | 1399 | — |
| LMArena German | 1377 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1308 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1386 | — |
Instruction Following Not comparable
GLM-4.5-Air: 69.6 (#171), o1-pro: —
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1354 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#135), o1-pro: —
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 55.9 (#139), o1-pro: —
| Benchmark | GLM-4.5-Air | o1-pro |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than o1-pro?
GLM-4.5-Air is the stronger model overall, scoring 38.9 to 31.5 on the Noometry Index.
Which is cheaper, GLM-4.5-Air or o1-pro?
GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; o1-pro lists at $150 and $600.
Which has the bigger context window?
o1-pro does, with 200K tokens against 131K.
How many benchmarks do GLM-4.5-Air and o1-pro share?
1 benchmark has published results for both models. GLM-4.5-Air has 27 scored results on Noometry and o1-pro has 3.