Qwen3.8-27BvsMuse Glimmer-30B
Across 7 shared benchmarks, Qwen3.8-27B leads overall: Qwen3.8-27B wins 7, Muse Glimmer-30B wins 0, with 0 ties and an average score difference of +13.06.
Qwen3.8-27B
阿里巴巴 · 2026-08-14 · Reasoning model
Muse Glimmer-30B
Facebook AI研究实验室 · 2026-08-10 · Reasoning model
Qwen3.8-27B7 wins(100%)(0%)0 winsMuse Glimmer-30B
Benchmark scores
Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.
AI Agent - Tool Usage
Qwen3.8-27B 2/2| Benchmark | Qwen3.8-27B | Muse Glimmer-30B | Diff |
|---|---|---|---|
| Terminal-Bench 2.1 | 7329 / 44Thinking (With Tools) | 51.7044 / 44Thinking High (With Tools) | +21.30 |
| OSWorld-Verified | 84.303 / 26Thinking (With Tools) | 65.9020 / 26Thinking High (With Tools) | +18.40 |
Multimodal Understanding
Qwen3.8-27B 2/2| Benchmark | Qwen3.8-27B | Muse Glimmer-30B | Diff |
|---|---|---|---|
| OmniDocBench | 91.101 / 3Thinking (No Tools) | 75.803 / 3Thinking High (No Tools) | +15.30 |
| CharXiv RQ | 90.202 / 15Thinking (With Tools) | 78.8015 / 15Thinking High (No Tools) | +11.40 |
Coding and Software Engineer
Qwen3.8-27B 1/1| Benchmark | Qwen3.8-27B | Muse Glimmer-30B | Diff |
|---|---|---|---|
| SWE-Bench Pro - Public | 61.7010 / 57Thinking (With Tools) | 51.2041 / 57Thinking High (With Tools) | +10.50 |
General Evaluation
Qwen3.8-27B 1/1| Benchmark | Qwen3.8-27B | Muse Glimmer-30B | Diff |
|---|---|---|---|
| GPQA Diamond | 89.2047 / 226Thinking (No Tools) | 83.5098 / 226Thinking High (No Tools) | +5.70 |
General Knowledge
Qwen3.8-27B 1/1| Benchmark | Qwen3.8-27B | Muse Glimmer-30B | Diff |
|---|---|---|---|
| HLE | 30.8088 / 181Thinking (No Tools) | 22117 / 181Thinking High (No Tools) | +8.80 |
Specs
| Field | Qwen3.8-27B | Muse Glimmer-30B |
|---|---|---|
| Publisher | 阿里巴巴 | Facebook AI研究实验室 |
| Release date | 2026-08-14 | 2026-08-10 |
| Model type | Reasoning model | Reasoning model |
| Architecture | Dense | Dense |
| Parameters | 27B | 29.6B |
| Context length | 256K | 128K+ |
| Max output | 128K | Not available |
Summary
- Qwen3.8-27Bleads in:AI Agent - Tool Usage (2/2), Multimodal Understanding (2/2), Coding and Software Engineer (1/1), General Evaluation (1/1), General Knowledge (1/1)
On average across the 7 shared benchmarks, Qwen3.8-27B scores 13.06 higher.
Largest single-benchmark gap: Terminal-Bench 2.1 — Qwen3.8-27B 73 vs Muse Glimmer-30B 51.70 (+21.30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.