Model comparison
GLM-5.1 vs Qwen3.6 Flash
GLM-5.1 is the stronger model overall, scoring 47.8 to 38.8 on the Noometry Index. Qwen3.6 Flash costs 5.1× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.
Last verified . 10 shared benchmarks.
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. GLM-5.1 scores higher in 3 categories and Qwen3.6 Flash in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5.1 leads 54.9 to 42.1.
- The biggest single-benchmark swing is SimpleBench: 55.1% for GLM-5.1 and 35.2% for Qwen3.6 Flash.
- Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
- Qwen3.6 Flash accepts more context: 1M tokens versus 200K.
- GLM-5.1 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.1 | Qwen3.6 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 47.8 | 38.8 |
| Released | 2026-04-07 | 2026-04-27 |
| Weights | Open | Proprietary |
| Context window | 200K | 1M |
| Max output | 131K | 66K |
| Input $ / M tokens | $1.40 | $0.19 |
| Output $ / M tokens | $4.40 | $1.13 |
| Results tracked | 41 | 13 |
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Category by category
Coding Not comparable
GLM-5.1: 48.7 (#55), Qwen3.6 Flash: —
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| ALE-Bench | 887.1 | 326.4 |
| SWE-bench Verified | 74.2% | — |
| LMArena WebDev | 1508 | — |
| SciCode | 43.8% | — |
| WeirdML | 57.1% | — |
| LMArena Coding | 1485 | — |
Agentic & Tool Use Not comparable
GLM-5.1: 24.9 (#113), Qwen3.6 Flash: —
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| APEX-Agents | 40.9% | — |
| ExploitBench | 18.1% | — |
| GBAEval | 0% | — |
| Vending-Bench 2 | 5,634 | — |
Reasoning GLM-5.1 leads
GLM-5.1: 39.1 (#60), Qwen3.6 Flash: 29.0 (#96)
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| SimpleBench | 55.1% | 35.2% |
| Chess Puzzles | 19% | 20% |
| Epoch Capabilities Index | 149.84 | 143.26 |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Thematic Generalization | 69.8% | — |
| LMArena Hard Prompts | 1472 | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 77.1% |
| LMCA | — | 31% |
Math GLM-5.1 leads
GLM-5.1: 49.7 (#60), Qwen3.6 Flash: 39.0 (#117)
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 36.8% | 22.5% |
| OTIS Mock AIME 2024-2025 | 93.3% | 84.4% |
| FrontierMath (Feb 2025 set) | 33.4% | 10.3% |
| FrontierMath Tier 4 (v1) | 12.5% | 0% |
| MathArena Final-Answer Competitions | 67.1% | — |
| ProofBench | 22.2% | — |
| LMArena Math | 1473 | — |
Knowledge GLM-5.1 leads
GLM-5.1: 54.9 (#50), Qwen3.6 Flash: 42.1 (#100)
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| GPQA Diamond | 89.9% | 83.3% |
| SimpleQA Verified | 34% | 15.9% |
| LMArena Expert | 1476 | — |
Multilingual Not comparable
GLM-5.1: 55.0 (#36), Qwen3.6 Flash: —
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| LMArena Non-English | 1447 | — |
| LMArena Chinese | 1515 | — |
| LMArena French | 1474 | — |
| LMArena German | 1465 | — |
| LMArena Japanese | 1434 | — |
| LMArena Korean | 1418 | — |
| LMArena Russian | 1454 | — |
| LMArena Spanish | 1469 | — |
Instruction Following Not comparable
GLM-5.1: 76.3 (#42), Qwen3.6 Flash: —
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| LMArena Instruction Following | 1451 | — |
Long Context Not comparable
GLM-5.1: 44.9 (#53), Qwen3.6 Flash: —
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| LMArena Longer Query | 1466 | — |
Writing & Preference Not comparable
GLM-5.1: 66.9 (#31), Qwen3.6 Flash: —
| Benchmark | GLM-5.1 | Qwen3.6 Flash |
|---|---|---|
| LMArena Text | 1461 | — |
| LMArena Creative Writing | 1453 | — |
| EQ-Bench Creative Writing | 1592 | — |
| LMArena Multi-Turn | 1472 | — |
Frequently asked questions
Is GLM-5.1 better than Qwen3.6 Flash?
GLM-5.1 is the stronger model overall, scoring 47.8 to 38.8 on the Noometry Index. Qwen3.6 Flash costs 5.1× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.
Which is cheaper, GLM-5.1 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-5.1 lists at $1.40 and $4.40.
Which has the bigger context window?
Qwen3.6 Flash does, with 1M tokens against 200K.
How many benchmarks do GLM-5.1 and Qwen3.6 Flash share?
10 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Qwen3.6 Flash has 13.