Model comparison
GLM-4.5V vs Qwen3.7 Flash
GLM-4.5V and Qwen3.7 Flash score almost the same on the Noometry Index (39.8 vs 39.9), so choose on price, context window or the category you care about most.
Last verified . 0 shared benchmarks.
Alibaba (Qwen)Summary
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 37.5.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.60 / $1.80 for GLM-4.5V.
- Qwen3.7 Flash 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 | Qwen3.7 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 39.8 | 39.9 |
| Released | 2025-08-11 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | 64K | 1M |
| Max output | 16K | 131K |
| Input $ / M tokens | $0.60 | $0.03 |
| Output $ / M tokens | $1.80 | $0.13 |
| Results tracked | 15 | 7 |
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Category by category
Coding Not comparable
GLM-4.5V: 39.5 (#155), Qwen3.7 Flash: —
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1347 | — |
Reasoning Too close to call
GLM-4.5V: 27.4 (#119), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| Kagi LLM Benchmark | 59.8% | — |
| NYT Connections (extended) | — | 43.8% |
| Chess Puzzles | — | 23% |
| LMArena Hard Prompts | 1334 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
Math Too close to call
GLM-4.5V: 37.4 (#159), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 19.3% |
| OTIS Mock AIME 2024-2025 | — | 86.7% |
| LMArena Math | 1354 | — |
Knowledge Qwen3.7 Flash leads
GLM-4.5V: 37.5 (#156), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | — | 82.3% |
| LMArena Expert | 1353 | — |
Multimodal Not comparable
GLM-4.5V: 34.3 (#92), Qwen3.7 Flash: —
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| LMArena Vision | 1154 | — |
Multilingual Not comparable
GLM-4.5V: 44.6 (#177), Qwen3.7 Flash: —
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1303 | — |
| LMArena Chinese | 1337 | — |
| LMArena Russian | 1298 | — |
| LMArena Spanish | 1336 | — |
Instruction Following Not comparable
GLM-4.5V: 69.2 (#175), Qwen3.7 Flash: —
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1311 | — |
Long Context Not comparable
GLM-4.5V: 39.6 (#171), Qwen3.7 Flash: —
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1304 | — |
Writing & Preference Not comparable
GLM-4.5V: 52.5 (#170), Qwen3.7 Flash: —
| Benchmark | GLM-4.5V | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1333 | — |
| LMArena Creative Writing | 1295 | — |
| LMArena Multi-Turn | 1332 | — |
Frequently asked questions
Is GLM-4.5V better than Qwen3.7 Flash?
GLM-4.5V and Qwen3.7 Flash score almost the same on the Noometry Index (39.8 vs 39.9), so choose on price, context window or the category you care about most.
Which is cheaper, GLM-4.5V or Qwen3.7 Flash?
Qwen3.7 Flash is cheaper. It lists at $0.03 per million input tokens and $0.13 per million output tokens; GLM-4.5V lists at $0.60 and $1.80.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 64K.
How many benchmarks do GLM-4.5V and Qwen3.7 Flash share?
0 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and Qwen3.7 Flash has 7.