Model comparison
GLM-4.5V vs Qwen Max
GLM-4.5V is the stronger model overall, scoring 39.8 to 34.7 on the Noometry Index.
Last verified . 13 shared benchmarks.
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 8 categories and Qwen Max in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5V leads 37.4 to 22.3.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- GLM-4.5V accepts more context: 64K tokens versus 33K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Qwen Max | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 34.7 |
| Released | 2025-08-11 | 2024-04-03 |
| Weights | Open | Proprietary |
| Context window | 64K | 33K |
| Max output | 16K | 8K |
| Input $ / M tokens | $0.60 | $1.60 |
| Output $ / M tokens | $1.80 | $6.40 |
| Results tracked | 15 | 23 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Qwen Max: 30.7 (#292)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Coding | 1347 | 1288 |
| Aider Polyglot | — | 21.8% |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Qwen Max: 25.1 (#151)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1269 |
| Kagi LLM Benchmark | 59.8% | — |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Qwen Max: 22.3 (#276)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Math | 1354 | 1275 |
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Qwen Max: 30.3 (#228)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Expert | 1353 | 1248 |
| GPQA Diamond | — | 56.1% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Qwen Max: —
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Qwen Max: 41.8 (#202)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Non-English | 1303 | 1263 |
| LMArena Chinese | 1337 | 1254 |
| LMArena Russian | 1298 | 1274 |
| LMArena Spanish | 1336 | 1290 |
| LMArena French | — | 1330 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1205 |
| LMArena Korean | — | 1142 |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Qwen Max: 66.5 (#208)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1311 | 1262 |
Long Context Too close to call
GLM-4.5V: 39.6 (#171), Qwen Max: 39.4 (#180)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1304 | 1288 |
| Fiction.LiveBench | — | 66.7% |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Qwen Max: 47.8 (#205)
| Benchmark | GLM-4.5V | Qwen Max |
|---|---|---|
| LMArena Text | 1333 | 1282 |
| LMArena Creative Writing | 1295 | 1248 |
| LMArena Multi-Turn | 1332 | 1277 |
Frequently asked questions
Is GLM-4.5V better than Qwen Max?
GLM-4.5V is the stronger model overall, scoring 39.8 to 34.7 on the Noometry Index.
Which is cheaper, GLM-4.5V or Qwen Max?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Qwen Max lists at $1.60 and $6.40.
Is GLM-4.5V or Qwen Max better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 30.7 in the Noometry coding category.
Which has the bigger context window?
GLM-4.5V does, with 64K tokens against 33K.
How many benchmarks do GLM-4.5V and Qwen Max share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen Max has 23.