Model comparison
GLM-4.5V vs Qwen Plus
GLM-4.5V is the stronger model overall, scoring 39.8 to 37.1 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 5 categories and Qwen Plus in 3 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in math, where GLM-4.5V leads 37.4 to 23.3.
- Qwen Plus is cheaper at $0.40 / $1.20 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Qwen Plus accepts more context: 1M tokens versus 64K.
- GLM-4.5V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.5V | Qwen Plus | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 37.1 |
| Released | 2025-08-11 | 2024-01-25 |
| Weights | Open | Proprietary |
| Context window | 64K | 1M |
| Max output | 16K | 33K |
| Input $ / M tokens | $0.60 | $0.40 |
| Output $ / M tokens | $1.80 | $1.20 |
| Results tracked | 15 | 20 |
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Category by category
Coding Too close to call
GLM-4.5V: 39.5 (#155), Qwen Plus: 38.9 (#167)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Coding | 1347 | 1328 |
Reasoning Too close to call
GLM-4.5V: 27.4 (#119), Qwen Plus: 28.4 (#107)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 63.3% |
| LMArena Hard Prompts | 1334 | 1317 |
| DTBench | — | 81.1% |
| LMCA | — | 24% |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Qwen Plus: 23.3 (#271)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Math | 1354 | 1326 |
| OTIS Mock AIME 2024-2025 | — | 17.8% |
| MATH Level 5 | — | 65.3% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge GLM-4.5V leads
GLM-4.5V: 37.5 (#156), Qwen Plus: 27.4 (#251)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Expert | 1353 | 1328 |
| GPQA Diamond | — | 48.1% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Qwen Plus: —
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Too close to call
GLM-4.5V: 44.6 (#177), Qwen Plus: 45.1 (#175)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Non-English | 1303 | 1310 |
| LMArena Chinese | 1337 | 1347 |
| LMArena Russian | 1298 | 1323 |
| LMArena Japanese | — | 1251 |
| LMArena Spanish | 1336 | — |
Instruction Following Too close to call
GLM-4.5V: 69.2 (#175), Qwen Plus: 68.8 (#181)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Instruction Following | 1311 | 1303 |
Long Context Too close to call
GLM-4.5V: 39.6 (#171), Qwen Plus: 40.3 (#158)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Longer Query | 1304 | 1324 |
Writing & Preference Too close to call
GLM-4.5V: 52.5 (#170), Qwen Plus: 52.2 (#176)
| Benchmark | GLM-4.5V | Qwen Plus |
|---|---|---|
| LMArena Text | 1333 | 1326 |
| LMArena Creative Writing | 1295 | 1293 |
| LMArena Multi-Turn | 1332 | 1336 |
Frequently asked questions
Is GLM-4.5V better than Qwen Plus?
GLM-4.5V is the stronger model overall, scoring 39.8 to 37.1 on the Noometry Index.
Which is cheaper, GLM-4.5V or Qwen Plus?
Qwen Plus is cheaper. It lists at $0.40 per million input tokens and $1.20 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or Qwen Plus better for coding?
They score almost the same on coding (39.5 vs 38.9); test both on your own repository before choosing.
Which has the bigger context window?
Qwen Plus does, with 1M tokens against 64K.
How many benchmarks do GLM-4.5V and Qwen Plus share?
13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen Plus has 20.