Model comparison
GLM-4.5V vs Qwen3-Coder 480B-A35B Instruct
GLM-4.5V is the stronger model overall, scoring 39.8 to 38.1 on the Noometry Index.
Last verified . 14 shared benchmarks.
Alibaba (Qwen)Summary
- They share 14 benchmarks with published results for both. GLM-4.5V scores higher in 3 categories and Qwen3-Coder 480B-A35B Instruct in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in coding, where GLM-4.5V leads 39.5 to 35.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 59.8% for GLM-4.5V and 49.5% for Qwen3-Coder 480B-A35B Instruct.
- GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $1.50 / $7.50 for Qwen3-Coder 480B-A35B Instruct.
- Qwen3-Coder 480B-A35B Instruct accepts more context: 262K tokens versus 64K.
Side by side
| GLM-4.5V | Qwen3-Coder 480B-A35B Instruct | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 38.1 |
| Released | 2025-08-11 | 2025-04 |
| Weights | Open | Open |
| Context window | 64K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.60 | $1.50 |
| Output $ / M tokens | $1.80 | $7.50 |
| Results tracked | 15 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Coding | 1347 | 1412 |
| SWE-bench Verified (bash only) | — | 55.4% |
| LMArena WebDev | — | 1275 |
| GSO | — | 4.9% |
| WeirdML | — | 41.2% |
| ALE-Bench | — | 461.45 |
| AlgoTune | — | 1.44 |
Agentic & Tool Use Not comparable
GLM-4.5V: —, Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Terminal-Bench | — | 27.2% |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | 49.5% |
| LMArena Hard Prompts | 1334 | 1372 |
Math Too close to call
GLM-4.5V: 37.4 (#159), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Math | 1354 | 1365 |
Knowledge Too close to call
GLM-4.5V: 37.5 (#156), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Expert | 1353 | 1338 |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Qwen3-Coder 480B-A35B Instruct: —
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Qwen3-Coder 480B-A35B Instruct leads
GLM-4.5V: 44.6 (#177), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Non-English | 1303 | 1346 |
| LMArena Chinese | 1337 | 1357 |
| LMArena Russian | 1298 | 1366 |
| LMArena Spanish | 1336 | 1360 |
| LMArena French | — | 1398 |
| LMArena German | — | 1325 |
| LMArena Japanese | — | 1310 |
| LMArena Korean | — | 1305 |
Instruction Following Qwen3-Coder 480B-A35B Instruct leads
GLM-4.5V: 69.2 (#175), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Instruction Following | 1311 | 1355 |
Long Context Qwen3-Coder 480B-A35B Instruct leads
GLM-4.5V: 39.6 (#171), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Longer Query | 1304 | 1378 |
Writing & Preference Qwen3-Coder 480B-A35B Instruct leads
GLM-4.5V: 52.5 (#170), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)
| Benchmark | GLM-4.5V | Qwen3-Coder 480B-A35B Instruct |
|---|---|---|
| LMArena Text | 1333 | 1357 |
| LMArena Creative Writing | 1295 | 1333 |
| LMArena Multi-Turn | 1332 | 1365 |
Frequently asked questions
Is GLM-4.5V better than Qwen3-Coder 480B-A35B Instruct?
GLM-4.5V is the stronger model overall, scoring 39.8 to 38.1 on the Noometry Index.
Which is cheaper, GLM-4.5V or Qwen3-Coder 480B-A35B Instruct?
GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; Qwen3-Coder 480B-A35B Instruct lists at $1.50 and $7.50.
Is GLM-4.5V or Qwen3-Coder 480B-A35B Instruct better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 35.5 in the Noometry coding category.
Which has the bigger context window?
Qwen3-Coder 480B-A35B Instruct does, with 262K tokens against 64K.
How many benchmarks do GLM-4.5V and Qwen3-Coder 480B-A35B Instruct share?
14 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.