Qwen3.7-Max-PreviewvsGLM 5.1
Across 5 shared benchmarks, Qwen3.7-Max-Preview leads overall: Qwen3.7-Max-Preview wins 5, GLM 5.1 wins 0, with 0 ties and an average score difference of +4.40.
Qwen3.7-Max-Preview
阿里巴巴 · 2026-05-20 · Reasoning model
GLM 5.1
智谱AI · 2026-03-27 · Reasoning model
Qwen3.7-Max-Preview5 wins(100%)(0%)0 winsGLM 5.1
Benchmark scores
Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.
General Knowledge
Qwen3.7-Max-Preview 2/2| Benchmark | Qwen3.7-Max-Preview | GLM 5.1 | Diff |
|---|---|---|---|
| GPQA Diamond | 92.4010 / 177最高（无工具） | 86.2041 / 177Thinking (No Tools) | +6.20 |
| HLE | 53.508 / 154Thinking (With Tools) | 52.3010 / 154Thinking (With Tools) | +1.20 |
AI Agent - Tool Usage
Qwen3.7-Max-Preview 1/1| Benchmark | Qwen3.7-Max-Preview | GLM 5.1 | Diff |
|---|---|---|---|
| Terminal Bench 2.0 | 69.705 / 46Thinking (With Tools) | 63.5013 / 46Thinking (With Tools) | +6.20 |
Coding and Software Engineer
Qwen3.7-Max-Preview 1/1| Benchmark | Qwen3.7-Max-Preview | GLM 5.1 | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 60.603 / 40Thinking (With Tools) | 58.406 / 40Thinking (With Tools) | +2.20 |
Math and Reasoning
Qwen3.7-Max-Preview 1/1| Benchmark | Qwen3.7-Max-Preview | GLM 5.1 | Diff |
|---|---|---|---|
| IMO-AnswerBench | 901 / 19最高（无工具） | 83.8010 / 19Thinking (No Tools) | +6.20 |
Specs
| Field | Qwen3.7-Max-Preview | GLM 5.1 |
|---|---|---|
| Publisher | 阿里巴巴 | 智谱AI |
| Release date | 2026-05-20 | 2026-03-27 |
| Model type | Reasoning model | Reasoning model |
| Architecture | MoE | MoE |
| Parameters | 10000.0 | 754.0 |
| Context length | 1M | 200K |
| Max output | 65536 | 128000 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.7-Max-Preview | GLM 5.1 |
|---|---|---|
| Text input | $2.5 / 1M tokens | $1.4 / 1M tokens |
| Text output | $7.5 / 1M tokens | $4.4 / 1M tokens |
| Cache read | $0.25 / 1M tokens | $4.4 / 1M tokens |
| Cache write | $3.125 / 1M tokens | $0.26 / 1M tokens |
Summary
- Qwen3.7-Max-Previewleads in:General Knowledge (2/2), AI Agent - Tool Usage (1/1), Coding and Software Engineer (1/1), Math and Reasoning (1/1)
On average across the 5 shared benchmarks, Qwen3.7-Max-Preview scores 4.40 higher.
Largest single-benchmark gap: Terminal Bench 2.0 — Qwen3.7-Max-Preview 69.70 vs GLM 5.1 63.50 (+6.20).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.