Model comparison
GLM-4.5V vs Qwen3 Coder Next
GLM-4.5V is the stronger model overall, scoring 39.2 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 3.1× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GLM-4.5V leads 26.5 to 21.7.
- Qwen3 Coder Next is cheaper at $0.12 / $0.80 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Qwen3 Coder Next accepts more context: 262K tokens versus 64K.
Side by side
| GLM-4.5V | Qwen3 Coder Next | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.2 | 33.8 |
| Released | 2025-08-11 | 2026-02-02 |
| Weights | Open | Open |
| Context window | 64K | 262K |
| Max output | 16K | 66K |
| Input $ / M tokens | $0.60 | $0.12 |
| Output $ / M tokens | $1.80 | $0.80 |
| Results tracked | 15 | 3 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 38.9 (#152), Qwen3 Coder Next: 35.8 (#206)
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| SciCode | — | 32.3% |
| WeirdML | — | 34.4% |
| LMArena Coding | 1347 | — |
Reasoning GLM-4.5V leads
GLM-4.5V: 26.5 (#118), Qwen3 Coder Next: 21.7 (#191)
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| CritPt | — | 0% |
| LMArena Hard Prompts | 1335 | — |
Math Not comparable
GLM-4.5V: 34.7 (#157), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Math | 1353 | — |
Knowledge Not comparable
GLM-4.5V: 36.8 (#155), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 33.6 (#86), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.9 (#172), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Non-English | 1304 | — |
| LMArena Chinese | 1338 | — |
| LMArena Russian | 1299 | — |
| LMArena Spanish | 1335 | — |
Instruction Following Not comparable
GLM-4.5V: 69.4 (#170), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#166), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Longer Query | 1305 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.7 (#162), Qwen3 Coder Next: —
| Benchmark | GLM-4.5V | Qwen3 Coder Next |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1333 | — |
Frequently asked questions
Is GLM-4.5V better than Qwen3 Coder Next?
GLM-4.5V is the stronger model overall, scoring 39.2 to 33.8 on the Noometry Index. Qwen3 Coder Next costs 3.1× less per token, which makes it the better buy when GLM-4.5V's lead doesn't matter for your workload.
Which is cheaper, GLM-4.5V or Qwen3 Coder Next?
Qwen3 Coder Next is cheaper. It lists at $0.12 per million input tokens and $0.80 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Is GLM-4.5V or Qwen3 Coder Next better for coding?
GLM-4.5V scores higher on coding benchmarks: 38.9 versus 35.8 in the Noometry coding category.
Which has the bigger context window?
Qwen3 Coder Next does, with 262K tokens against 64K.
How many benchmarks do GLM-4.5V and Qwen3 Coder Next share?
0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3 Coder Next has 3.