Model comparison
GLM-4.6V vs Qwen3.6 Flash
GLM-4.6V is the stronger model overall, scoring 41.3 to 38.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 38.0.
- Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
- Qwen3.6 Flash accepts more context: 1M tokens versus 128K.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | Qwen3.6 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 41.3 | 38.8 |
| Released | 2025-12-08 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 128K | 1M |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.30 | $0.19 |
| Output $ / M tokens | $0.90 | $1.13 |
| Results tracked | 12 | 13 |
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Category by category
Coding Not comparable
GLM-4.6V: 40.9 (#128), Qwen3.6 Flash: —
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| LMArena Coding | 1390 | — |
| ALE-Bench | — | 326.4 |
Reasoning Qwen3.6 Flash leads
GLM-4.6V: 27.6 (#115), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | — | 35.2% |
| Chess Puzzles | — | 20% |
| LMArena Hard Prompts | 1368 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
| Epoch Capabilities Index | — | 143.26 |
Math Not comparable
GLM-4.6V: —, Qwen3.6 Flash: 39.0 (#117)
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 22.5% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| FrontierMath (Feb 2025 set) | — | 10.3% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Qwen3.6 Flash leads
GLM-4.6V: 38.0 (#149), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | — | 83.3% |
| SimpleQA Verified | — | 15.9% |
| LMArena Expert | 1371 | — |
Multimodal Not comparable
GLM-4.6V: 34.8 (#90), Qwen3.6 Flash: —
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| LMArena Vision | 1164 | — |
Multilingual Not comparable
GLM-4.6V: 48.6 (#141), Qwen3.6 Flash: —
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| LMArena Non-English | 1359 | — |
| LMArena Chinese | 1425 | — |
| LMArena Russian | 1340 | — |
Instruction Following Not comparable
GLM-4.6V: 71.4 (#151), Qwen3.6 Flash: —
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1352 | — |
Long Context Not comparable
GLM-4.6V: 41.3 (#143), Qwen3.6 Flash: —
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1358 | — |
Writing & Preference Not comparable
GLM-4.6V: 56.6 (#137), Qwen3.6 Flash: —
| Benchmark | GLM-4.6V | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1377 | — |
| LMArena Creative Writing | 1347 | — |
| LMArena Multi-Turn | 1360 | — |
Frequently asked questions
Is GLM-4.6V better than Qwen3.6 Flash?
GLM-4.6V is the stronger model overall, scoring 41.3 to 38.8 on the Noometry Index.
Which is cheaper, GLM-4.6V 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-4.6V lists at $0.30 and $0.90.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 128K.
How many benchmarks do GLM-4.6V and Qwen3.6 Flash share?
0 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Qwen3.6 Flash has 13.