Model comparison
GLM-5V-Turbo vs Qwen3.6 Plus
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 43.8 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GLM-5V-Turbo scores higher in 3 categories and Qwen3.6 Plus in 5 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.6 Plus leads 56.1 to 40.6.
- Qwen3.6 Plus is cheaper at $0.50 / $3 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- Qwen3.6 Plus accepts more context: 1M tokens versus 200K.
Side by side
| GLM-5V-Turbo | Qwen3.6 Plus | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 43.8 | 47.5 |
| Released | 2026-04-01 | 2026-03-31 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1M |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.20 | $0.50 |
| Output $ / M tokens | $4 | $3 |
| Results tracked | 19 | 37 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Qwen3.6 Plus: 40.8 (#130)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena WebDev | 1401 | 1461 |
| LMArena Coding | 1466 | 1467 |
| SWE-bench Verified | — | 57.9% |
| SciCode | — | 40.7% |
| ALE-Bench | — | 670.15 |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Qwen3.6 Plus: —
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| Vending-Bench 2 | — | 5,115 |
Reasoning Too close to call
GLM-5V-Turbo: 29.7 (#89), Qwen3.6 Plus: 29.3 (#93)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Hard Prompts | 1443 | 1449 |
| NYT Connections (extended) | — | 60.3% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 17% |
| Thematic Generalization | — | 59.5% |
| Mystery Game Puzzles | — | 12% |
| DTBench | — | 81.9% |
| LMCA | — | 33.1% |
| Epoch Capabilities Index | — | 147.65 |
Math Qwen3.6 Plus leads
GLM-5V-Turbo: 39.4 (#106), Qwen3.6 Plus: 51.8 (#54)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Math | 1441 | 1450 |
| FrontierMath (Tiers 1-3) | — | 38.2% |
| OTIS Mock AIME 2024-2025 | — | 93.3% |
| FrontierMath (Feb 2025 set) | — | 26.2% |
| FrontierMath Tier 4 (v1) | — | 8.3% |
Knowledge Qwen3.6 Plus leads
GLM-5V-Turbo: 40.6 (#117), Qwen3.6 Plus: 56.1 (#45)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Expert | 1452 | 1454 |
| GPQA Diamond | — | 88.4% |
| SimpleQA Verified | — | 44.1% |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Qwen3.6 Plus: —
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Too close to call
GLM-5V-Turbo: 53.0 (#73), Qwen3.6 Plus: 53.3 (#70)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Non-English | 1420 | 1424 |
| LMArena Chinese | 1488 | 1477 |
| LMArena French | 1444 | 1455 |
| LMArena German | 1423 | 1452 |
| LMArena Korean | 1396 | 1379 |
| LMArena Russian | 1431 | 1434 |
| LMArena Spanish | 1450 | 1432 |
| LMArena Japanese | — | 1389 |
Instruction Following Too close to call
GLM-5V-Turbo: 75.0 (#80), Qwen3.6 Plus: 75.0 (#74)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Instruction Following | 1423 | 1425 |
Long Context Qwen3.6 Plus leads
GLM-5V-Turbo: 44.0 (#80), Qwen3.6 Plus: 45.2 (#49)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Longer Query | 1438 | 1439 |
| CL-bench | — | 20.3% |
Writing & Preference Too close to call
GLM-5V-Turbo: 62.5 (#73), Qwen3.6 Plus: 62.2 (#82)
| Benchmark | GLM-5V-Turbo | Qwen3.6 Plus |
|---|---|---|
| LMArena Text | 1437 | 1437 |
| LMArena Creative Writing | 1416 | 1404 |
| LMArena Multi-Turn | 1432 | 1438 |
Frequently asked questions
Is GLM-5V-Turbo better than Qwen3.6 Plus?
Qwen3.6 Plus is the stronger model overall, scoring 47.5 to 43.8 on the Noometry Index.
Which is cheaper, GLM-5V-Turbo or Qwen3.6 Plus?
Qwen3.6 Plus is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Qwen3.6 Plus better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3.6 Plus does, with 1M tokens against 200K.
How many benchmarks do GLM-5V-Turbo and Qwen3.6 Plus share?
17 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen3.6 Plus has 37.