Model comparison
GLM-4.5V vs Qwen-14B
GLM-4.5V is the stronger model overall, scoring 39.8 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. GLM-4.5V scores higher in 7 categories and Qwen-14B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GLM-4.5V leads 52.5 to 27.6.
Side by side
| GLM-4.5V | Qwen-14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 31.4 |
| Released | 2025-08-11 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.60 | — |
| Output $ / M tokens | $1.80 | — |
| Results tracked | 15 | 18 |
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Category by category
Coding GLM-4.5V leads
GLM-4.5V: 39.5 (#155), Qwen-14B: 31.2 (#288)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Coding | 1347 | 1071 |
Reasoning GLM-4.5V leads
GLM-4.5V: 27.4 (#119), Qwen-14B: 19.6 (#257)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1334 | 1027 |
| Kagi LLM Benchmark | 59.8% | — |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 113.03 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math GLM-4.5V leads
GLM-4.5V: 37.4 (#159), Qwen-14B: 31.2 (#227)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Math | 1354 | 1068 |
| GSM8K | — | 61.3% |
Knowledge Not comparable
GLM-4.5V: 37.5 (#156), Qwen-14B: —
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Expert | 1353 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Qwen-14B: —
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual GLM-4.5V leads
GLM-4.5V: 44.6 (#177), Qwen-14B: 27.5 (#275)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1303 | 1041 |
| LMArena Chinese | 1337 | 1077 |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following GLM-4.5V leads
GLM-4.5V: 69.2 (#175), Qwen-14B: 52.4 (#289)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1311 | 1031 |
Long Context GLM-4.5V leads
GLM-4.5V: 39.6 (#171), Qwen-14B: 31.3 (#280)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1304 | 1028 |
Writing & Preference GLM-4.5V leads
GLM-4.5V: 52.5 (#170), Qwen-14B: 27.6 (#299)
| Benchmark | GLM-4.5V | Qwen-14B |
|---|---|---|
| LMArena Text | 1333 | 1051 |
| LMArena Creative Writing | 1295 | 1028 |
| LMArena Multi-Turn | 1332 | 1022 |
Frequently asked questions
Is GLM-4.5V better than Qwen-14B?
GLM-4.5V is the stronger model overall, scoring 39.8 to 31.4 on the Noometry Index.
Is GLM-4.5V or Qwen-14B better for coding?
GLM-4.5V scores higher on coding benchmarks: 39.5 versus 31.2 in the Noometry coding category.
How many benchmarks do GLM-4.5V and Qwen-14B share?
10 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen-14B has 18.