Qwen 3.6 Plus PreviewvsGLM 5.1
Across 7 shared benchmarks, GLM 5.1 leads overall: Qwen 3.6 Plus Preview wins 1, GLM 5.1 wins 4, with 2 ties and an average score difference of -0.30.
Qwen 3.6 Plus Preview
阿里巴巴 · 2026-03-31 · AI model
GLM 5.1
智谱AI · 2026-03-27 · Reasoning model
Qwen 3.6 Plus Preview1 win(14%)Ties2(57%)4 winsGLM 5.1
Benchmark scores
Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.
AI Agent - Tool Usage
GLM 5.1 2/2| Benchmark | Qwen 3.6 Plus Preview | GLM 5.1 | Diff |
|---|---|---|---|
| Terminal Bench 2.0 | 61.6014 / 43Thinking (With Tools) | 63.5011 / 43Thinking (With Tools) | -1.90 |
| Tool Decathlon | 39.804 / 7Thinking (With Tools) | 40.703 / 7Thinking (With Tools) | -0.90 |
General Knowledge
Even 2/2| Benchmark |
|---|
Specs
| Field | Qwen 3.6 Plus Preview | GLM 5.1 |
|---|---|---|
| Publisher | 阿里巴巴 | 智谱AI |
| Release date | 2026-03-31 | 2026-03-27 |
| Model type | AI model | Reasoning model |
| Architecture | Dense | MoE |
| Parameters | 0.0 | 754.0 |
| Context length | 1M | 200K |
| Max output | 65536 | 128000 |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen 3.6 Plus Preview | GLM 5.1 |
|---|---|---|
| Text input | $0.5 / 1M tokens | $1.4 / 1M tokens |
| Text output | $3 / 1M tokens | $4.4 / 1M tokens |
| Cache read | $0.05 / 1M tokens | $4.4 / 1M tokens |
| Cache write | $0.625 / 1M tokens | $0.26 / 1M tokens |
Summary
- GLM 5.1leads in:AI Agent - Tool Usage (2/2), Coding and Software Engineer (1/1)
- Tied in:General Knowledge, Math and Reasoning
On average across the 7 shared benchmarks, GLM 5.1 scores 0.30 higher.
Largest single-benchmark gap: GPQA Diamond — Qwen 3.6 Plus Preview 90.40 vs GLM 5.1 86.20 (+4.20).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.