Model comparison
GLM-5 vs Qwen Max
GLM-5 is the stronger model overall, scoring 46.1 to 34.7 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GLM-5 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 leads 46.4 to 22.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 80% for GLM-5 and 16.1% for Qwen Max.
- GLM-5 is cheaper at $1 / $3.20 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- GLM-5 accepts more context: 205K tokens versus 33K.
- GLM-5 has downloadable open weights; the other is API-only.
Side by side
| GLM-5 | Qwen Max | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 46.1 | 34.7 |
| Released | 2026-02-11 | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | 205K | 33K |
| Max output | 131K | 8K |
| Input $ / M tokens | $1 | $1.60 |
| Output $ / M tokens | $3.20 | $6.40 |
| Results tracked | 45 | 23 |
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Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Qwen Max: 30.7 (#292)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| LMArena Coding | 1461 | 1288 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| Aider Polyglot | — | 21.8% |
| LMArena WebDev | 1434 | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), Qwen Max: —
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#116), Qwen Max: 25.1 (#151)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1452 | 1269 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| NYT Connections (extended) | 74.8% | — |
| ARC-AGI-1 | 44.7% | — |
| Chess Puzzles | 10% | — |
| Epoch Capabilities Index | 145.83 | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 46.4 (#71), Qwen Max: 22.3 (#276)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 80% | 16.1% |
| LMArena Math | 1440 | 1275 |
| FrontierMath (Feb 2025 set) | 16.4% | 1% |
| MathArena Final-Answer Competitions | 65.7% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Qwen Max: 30.3 (#228)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| GPQA Diamond | 87.8% | 56.1% |
| LMArena Expert | 1454 | 1248 |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual GLM-5 leads
GLM-5: 53.7 (#58), Qwen Max: 41.8 (#202)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| LMArena Non-English | 1430 | 1263 |
| LMArena Chinese | 1511 | 1254 |
| LMArena French | 1455 | 1330 |
| LMArena German | 1445 | 1254 |
| LMArena Japanese | 1416 | 1205 |
| LMArena Korean | 1423 | 1142 |
| LMArena Russian | 1436 | 1274 |
| LMArena Spanish | 1454 | 1290 |
Instruction Following GLM-5 leads
GLM-5: 75.2 (#67), Qwen Max: 66.5 (#208)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1428 | 1262 |
Long Context GLM-5 leads
GLM-5: 44.7 (#60), Qwen Max: 39.4 (#180)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1446 | 1288 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Qwen Max: 47.8 (#205)
| Benchmark | GLM-5 | Qwen Max |
|---|---|---|
| LMArena Text | 1446 | 1282 |
| LMArena Creative Writing | 1439 | 1248 |
| LMArena Multi-Turn | 1456 | 1277 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than Qwen Max?
GLM-5 is the stronger model overall, scoring 46.1 to 34.7 on the Noometry Index.
Which is cheaper, GLM-5 or Qwen Max?
GLM-5 is cheaper. It lists at $1 per million input tokens and $3.20 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is GLM-5 or Qwen Max better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
GLM-5 does, with 205K tokens against 33K.
How many benchmarks do GLM-5 and Qwen Max share?
20 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Qwen Max has 23.