Model comparison
GLM-5V-Turbo vs Qwen3 14B
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 35.5 on the Noometry Index. Qwen3 14B costs 3.1× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where GLM-5V-Turbo leads 29.7 to 18.5.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
- GLM-5V-Turbo accepts more context: 200K tokens versus 131K.
- Qwen3 14B has downloadable open weights; the other is API-only.
Side by side
| GLM-5V-Turbo | Qwen3 14B | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 43.8 | 35.5 |
| Released | 2026-04-01 | 2025-04 |
| Weights | Proprietary | Open |
| Context window | 200K | 131K |
| Max output | 131K | 8K |
| Input $ / M tokens | $1.20 | $0.35 |
| Output $ / M tokens | $4 | $1.40 |
| Results tracked | 19 | 12 |
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Category by category
Coding GLM-5V-Turbo leads
GLM-5V-Turbo: 42.1 (#111), Qwen3 14B: 37.3 (#195)
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| LMArena WebDev | 1401 | — |
| SciCode | — | 31.6% |
| LMArena Coding | 1466 | — |
Agentic & Tool Use Not comparable
GLM-5V-Turbo: —, Qwen3 14B: 29.6 (#83)
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 41% |
Reasoning GLM-5V-Turbo leads
GLM-5V-Turbo: 29.7 (#89), Qwen3 14B: 18.5 (#280)
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| Kagi LLM Benchmark | — | 49.1% |
| CritPt | — | 0% |
| Chess Puzzles | — | 4% |
| LMArena Hard Prompts | 1443 | — |
| DTBench | — | 64% |
| LMCA | — | 18.2% |
| Epoch Capabilities Index | — | 138.23 |
Math Too close to call
GLM-5V-Turbo: 39.4 (#106), Qwen3 14B: 38.6 (#133)
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 66.4% |
| LMArena Math | 1441 | — |
Knowledge GLM-5V-Turbo leads
GLM-5V-Turbo: 40.6 (#117), Qwen3 14B: 39.3 (#134)
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| GPQA Diamond | — | 63.8% |
| Vectara Hallucination Rate | — | 5.4% |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
GLM-5V-Turbo: 40.9 (#42), Qwen3 14B: —
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| LMArena Vision | 1264 | — |
| LMArena Document | 1416 | — |
Multilingual Not comparable
GLM-5V-Turbo: 53.0 (#73), Qwen3 14B: —
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| LMArena Non-English | 1420 | — |
| LMArena Chinese | 1488 | — |
| LMArena French | 1444 | — |
| LMArena German | 1423 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1431 | — |
| LMArena Spanish | 1450 | — |
Instruction Following Not comparable
GLM-5V-Turbo: 75.0 (#80), Qwen3 14B: —
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| LMArena Instruction Following | 1423 | — |
Long Context GLM-5V-Turbo leads
GLM-5V-Turbo: 44.0 (#80), Qwen3 14B: 38.1 (#204)
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| Fiction.LiveBench | — | 62.5% |
| LMArena Longer Query | 1438 | — |
Writing & Preference Not comparable
GLM-5V-Turbo: 62.5 (#73), Qwen3 14B: —
| Benchmark | GLM-5V-Turbo | Qwen3 14B |
|---|---|---|
| LMArena Text | 1437 | — |
| LMArena Creative Writing | 1416 | — |
| LMArena Multi-Turn | 1432 | — |
Frequently asked questions
Is GLM-5V-Turbo better than Qwen3 14B?
GLM-5V-Turbo is the stronger model overall, scoring 43.8 to 35.5 on the Noometry Index. Qwen3 14B costs 3.1× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.
Which is cheaper, GLM-5V-Turbo or Qwen3 14B?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.
Is GLM-5V-Turbo or Qwen3 14B better for coding?
GLM-5V-Turbo scores higher on coding benchmarks: 42.1 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
GLM-5V-Turbo does, with 200K tokens against 131K.
How many benchmarks do GLM-5V-Turbo and Qwen3 14B share?
0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen3 14B has 12.