Model comparison
GLM-4.5-Air vs Qwen2.5 32B Instruct
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 29.7 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in math, where GLM-4.5-Air leads 33.8 to 15.3.
- GLM-4.5-Air is cheaper at $0.20 / $1.10 per million input/output tokens, against $0.70 / $2.80 for Qwen2.5 32B Instruct.
Side by side
| GLM-4.5-Air | Qwen2.5 32B Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.7 | 29.7 |
| Released | 2025-07-20 | 2024-09 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 98K | 8K |
| Input $ / M tokens | $0.20 | $0.70 |
| Output $ / M tokens | $1.10 | $2.80 |
| Results tracked | 27 | 7 |
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Category by category
Coding Qwen2.5 32B Instruct leads
GLM-4.5-Air: 34.5 (#225), Qwen2.5 32B Instruct: 38.1 (#165)
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| GSO | 2.9% | — |
| BigCodeBench Instruct | — | 45% |
| LMArena Coding | 1397 | — |
| BigCodeBench Complete | — | 52.3% |
Reasoning GLM-4.5-Air leads
GLM-4.5-Air: 23.3 (#166), Qwen2.5 32B Instruct: 18.5 (#262)
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 43% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1379 | — |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | 59.2 | — |
Math GLM-4.5-Air leads
GLM-4.5-Air: 33.8 (#166), Qwen2.5 32B Instruct: 15.3 (#289)
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 7.4% |
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
| MATH Level 5 | — | 56.1% |
Knowledge GLM-4.5-Air leads
GLM-4.5-Air: 34.6 (#184), Qwen2.5 32B Instruct: 24.9 (#259)
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| GPQA Diamond | — | 46.1% |
| Humanity's Last Exam | 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: 49.4 (#130), Qwen2.5 32B Instruct: —
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Non-English | 1366 | — |
| LMArena Chinese | 1427 | — |
| LMArena French | 1399 | — |
| LMArena German | 1376 | — |
| LMArena Japanese | 1348 | — |
| LMArena Korean | 1306 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1385 | — |
Instruction Following Not comparable
GLM-4.5-Air: 69.8 (#165), Qwen2.5 32B Instruct: —
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1353 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#130), Qwen2.5 32B Instruct: —
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Longer Query | 1367 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 56.1 (#134), Qwen2.5 32B Instruct: —
| Benchmark | GLM-4.5-Air | Qwen2.5 32B Instruct |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen2.5 32B Instruct?
GLM-4.5-Air is the stronger model overall, scoring 38.7 to 29.7 on the Noometry Index.
Which is cheaper, GLM-4.5-Air or Qwen2.5 32B Instruct?
GLM-4.5-Air is cheaper. It lists at $0.20 per million input tokens and $1.10 per million output tokens; Qwen2.5 32B Instruct lists at $0.70 and $2.80.
Is GLM-4.5-Air or Qwen2.5 32B Instruct better for coding?
Qwen2.5 32B Instruct scores higher on coding benchmarks: 38.1 versus 34.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do GLM-4.5-Air and Qwen2.5 32B Instruct share?
0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen2.5 32B Instruct has 7.