Model comparison
GLM-5.1 vs Qwen Max
GLM-5.1 is the stronger model overall, scoring 47.8 to 34.7 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GLM-5.1 scores higher in 8 categories and Qwen Max in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-5.1 leads 49.7 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 93.3% for GLM-5.1 and 16.1% for Qwen Max.
- GLM-5.1 is cheaper at $1.40 / $4.40 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- GLM-5.1 accepts more context: 200K tokens versus 33K.
- GLM-5.1 has downloadable open weights; the other is API-only.
Side by side
| GLM-5.1 | Qwen Max | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 47.8 | 34.7 |
| Released | 2026-04-07 | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | 200K | 33K |
| Max output | 131K | 8K |
| Input $ / M tokens | $1.40 | $1.60 |
| Output $ / M tokens | $4.40 | $6.40 |
| Results tracked | 41 | 23 |
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Category by category
Coding GLM-5.1 leads
GLM-5.1: 48.7 (#55), Qwen Max: 30.7 (#292)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| LMArena Coding | 1485 | 1288 |
| SWE-bench Verified | 74.2% | — |
| Aider Polyglot | — | 21.8% |
| LMArena WebDev | 1508 | — |
| SciCode | 43.8% | — |
| WeirdML | 57.1% | — |
| ALE-Bench | 887.1 | — |
Agentic & Tool Use Not comparable
GLM-5.1: 24.9 (#113), Qwen Max: —
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| 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), Qwen Max: 25.1 (#151)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1472 | 1269 |
| SimpleBench | 55.1% | — |
| NYT Connections (extended) | 77.7% | — |
| CritPt | 4.6% | — |
| Chess Puzzles | 19% | — |
| Thematic Generalization | 69.8% | — |
| Epoch Capabilities Index | 149.84 | — |
Math GLM-5.1 leads
GLM-5.1: 49.7 (#60), Qwen Max: 22.3 (#276)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 93.3% | 16.1% |
| LMArena Math | 1473 | 1275 |
| FrontierMath (Feb 2025 set) | 33.4% | 1% |
| FrontierMath (Tiers 1-3) | 36.8% | — |
| MathArena Final-Answer Competitions | 67.1% | — |
| ProofBench | 22.2% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath Tier 4 (v1) | 12.5% | — |
Knowledge GLM-5.1 leads
GLM-5.1: 54.9 (#50), Qwen Max: 30.3 (#228)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| GPQA Diamond | 89.9% | 56.1% |
| LMArena Expert | 1476 | 1248 |
| SimpleQA Verified | 34% | — |
Multilingual GLM-5.1 leads
GLM-5.1: 55.0 (#36), Qwen Max: 41.8 (#202)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| LMArena Non-English | 1447 | 1263 |
| LMArena Chinese | 1515 | 1254 |
| LMArena French | 1474 | 1330 |
| LMArena German | 1465 | 1254 |
| LMArena Japanese | 1434 | 1205 |
| LMArena Korean | 1418 | 1142 |
| LMArena Russian | 1454 | 1274 |
| LMArena Spanish | 1469 | 1290 |
Instruction Following GLM-5.1 leads
GLM-5.1: 76.3 (#42), Qwen Max: 66.5 (#208)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1451 | 1262 |
Long Context GLM-5.1 leads
GLM-5.1: 44.9 (#53), Qwen Max: 39.4 (#180)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1466 | 1288 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GLM-5.1 leads
GLM-5.1: 66.9 (#31), Qwen Max: 47.8 (#205)
| Benchmark | GLM-5.1 | Qwen Max |
|---|---|---|
| LMArena Text | 1461 | 1282 |
| LMArena Creative Writing | 1453 | 1248 |
| LMArena Multi-Turn | 1472 | 1277 |
| EQ-Bench Creative Writing | 1592 | — |
Frequently asked questions
Is GLM-5.1 better than Qwen Max?
GLM-5.1 is the stronger model overall, scoring 47.8 to 34.7 on the Noometry Index.
Which is cheaper, GLM-5.1 or Qwen Max?
GLM-5.1 is cheaper. It lists at $1.40 per million input tokens and $4.40 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is GLM-5.1 or Qwen Max better for coding?
GLM-5.1 scores higher on coding benchmarks: 48.7 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
GLM-5.1 does, with 200K tokens against 33K.
How many benchmarks do GLM-5.1 and Qwen Max share?
20 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Qwen Max has 23.