Model comparison
GLM-4.5-Air vs Qwen3.6 Flash
GLM-4.5-Air and Qwen3.6 Flash score almost the same on the Noometry Index (38.9 vs 38.8), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 35.0.
- Both cost about the same: $0.20 input and $1.10 output per million tokens.
- Qwen3.6 Flash accepts more context: 1M tokens versus 131K.
- GLM-4.5-Air has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5-Air | Qwen3.6 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.9 | 38.8 |
| Released | 2025-07-20 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 131K | 1M |
| Max output | 98K | 66K |
| Input $ / M tokens | $0.20 | $0.19 |
| Output $ / M tokens | $1.10 | $1.13 |
| Results tracked | 27 | 13 |
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Category by category
Coding Not comparable
GLM-4.5-Air: 33.3 (#259), Qwen3.6 Flash: —
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| GSO | 2.9% | — |
| LMArena Coding | 1397 | — |
| ALE-Bench | — | 326.4 |
Reasoning Qwen3.6 Flash leads
GLM-4.5-Air: 24.1 (#166), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Kagi LLM Benchmark | 43% | — |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | 1379 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |
| ForecastBench | 59.2 | — |
Math Qwen3.6 Flash leads
GLM-4.5-Air: 36.2 (#170), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | 39.1% | — |
| LMArena Math | 1396 | — |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.6 Flash leads
GLM-4.5-Air: 35.0 (#191), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| Humanity's Last Exam | 8.1% | — |
| SimpleQA Verified | — | 15.9% |
| 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), Qwen3.6 Flash: —
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| 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), Qwen3.6 Flash: —
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| IFEval | 81.2% | — |
| LMArena Instruction Following | 1354 | — |
Long Context Not comparable
GLM-4.5-Air: 41.6 (#135), Qwen3.6 Flash: —
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1366 | — |
Writing & Preference Not comparable
GLM-4.5-Air: 55.9 (#139), Qwen3.6 Flash: —
| Benchmark | GLM-4.5-Air | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1384 | — |
| LMArena Creative Writing | 1343 | — |
| WildBench | 78.9% | — |
| LMArena Multi-Turn | 1371 | — |
Frequently asked questions
Is GLM-4.5-Air better than Qwen3.6 Flash?
GLM-4.5-Air and Qwen3.6 Flash score almost the same on the Noometry Index (38.9 vs 38.8), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5-Air or Qwen3.6 Flash?
Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 131K.
How many benchmarks do GLM-4.5-Air and Qwen3.6 Flash share?
0 benchmarks have published results for both models. GLM-4.5-Air has 27 scored results on Noometry and Qwen3.6 Flash has 13.