Model comparison
GLM-4.7-Flash vs Qwen3.7 Flash
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 38.8 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and Qwen3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Qwen3.7 Flash leads 48.9 to 35.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 86.7% for Qwen3.7 Flash.
- Qwen3.7 Flash is cheaper at $0.03 / $0.13 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
- Qwen3.7 Flash accepts more context: 1M tokens versus 200K.
- GLM-4.7-Flash has downloadable open weights; the other is API-only.
Side by side
| GLM-4.7-Flash | Qwen3.7 Flash | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Alibaba (Qwen) |
| Noometry Index | 38.8 | 39.9 |
| Released | 2026-01-19 | 2026-07-15 |
| Weights | Open | Proprietary |
| Context window | 200K | 1M |
| Max output | 131K | 131K |
| Input $ / M tokens | $0.06 | $0.03 |
| Output $ / M tokens | $0.40 | $0.13 |
| Results tracked | 21 | 7 |
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Category by category
Coding Not comparable
GLM-4.7-Flash: 40.6 (#135), Qwen3.7 Flash: —
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Coding | 1383 | — |
Reasoning Qwen3.7 Flash leads
GLM-4.7-Flash: 20.9 (#229), Qwen3.7 Flash: 28.2 (#108)
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| Chess Puzzles | 0% | 23% |
| NYT Connections (extended) | — | 43.8% |
| LMArena Hard Prompts | 1356 | — |
| Mystery Game Puzzles | — | 15% |
| Epoch Capabilities Index | — | 144.64 |
Math Qwen3.7 Flash leads
GLM-4.7-Flash: 36.1 (#173), Qwen3.7 Flash: 38.3 (#140)
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 58.3% | 86.7% |
| FrontierMath (Tiers 1-3) | — | 19.3% |
| LMArena Math | 1355 | — |
Knowledge Qwen3.7 Flash leads
GLM-4.7-Flash: 35.5 (#184), Qwen3.7 Flash: 48.9 (#75)
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| GPQA Diamond | 60.5% | 82.3% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1357 | — |
Multilingual Not comparable
GLM-4.7-Flash: 46.5 (#158), Qwen3.7 Flash: —
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Non-English | 1330 | — |
| LMArena Chinese | 1403 | — |
| LMArena French | 1332 | — |
| LMArena German | 1337 | — |
| LMArena Korean | 1283 | — |
| LMArena Russian | 1332 | — |
| LMArena Spanish | 1350 | — |
Instruction Following Not comparable
GLM-4.7-Flash: 70.1 (#167), Qwen3.7 Flash: —
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Instruction Following | 1327 | — |
Long Context Not comparable
GLM-4.7-Flash: 40.9 (#148), Qwen3.7 Flash: —
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Longer Query | 1345 | — |
Writing & Preference Not comparable
GLM-4.7-Flash: 47.4 (#210), Qwen3.7 Flash: —
| Benchmark | GLM-4.7-Flash | Qwen3.7 Flash |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1297 | — |
| EQ-Bench Creative Writing | 1125 | — |
| LMArena Multi-Turn | 1342 | — |
Frequently asked questions
Is GLM-4.7-Flash better than Qwen3.7 Flash?
Qwen3.7 Flash is the stronger model overall, scoring 39.9 to 38.8 on the Noometry Index.
Which is cheaper, GLM-4.7-Flash 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-4.7-Flash lists at $0.06 and $0.40.
Which has the bigger context window?
Qwen3.7 Flash does, with 1M tokens against 200K.
How many benchmarks do GLM-4.7-Flash and Qwen3.7 Flash share?
3 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Qwen3.7 Flash has 7.