Qwen3.6-27BvsGemini 3.0 Flash
Across 7 shared benchmarks, Qwen3.6-27B leads overall: Qwen3.6-27B wins 4, Gemini 3.0 Flash wins 3, with 0 ties and an average score difference of -0.30.
Qwen3.6-27B
阿里巴巴 · 2026-04-22 · Reasoning model
Gemini 3.0 Flash
Google Deep Mind · 2025-12-17 · Chat model
Qwen3.6-27B4 wins(57%)(43%)3 winsGemini 3.0 Flash
Benchmark scores
Grouped by capability, sorted by largest gap within each. 7 shared benchmarks.
General Knowledge
Gemini 3.0 Flash 2/3| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| HLE | 24107 / 172Thinking (No Tools) | 43.5047 / 172 | -19.50 |
| LiveBench | 65.5652 / 115Normal (No Tools) | 56.3579 / 115Normal (No Tools) | +9.21 |
| GPQA Diamond | 87.8036 / 187Thinking (No Tools) | 90.4019 / 187 | -2.60 |
Coding and Software Engineer
Qwen3.6-27B 2/2| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| SWE-bench Verified | 77.2028 / 112Thinking (With Tools) | 68.7066 / 112 | +8.50 |
| SWE-Bench Pro - Public | 53.5034 / 54Thinking (With Tools) | 49.6042 / 54Thinking High (With Tools) | +3.90 |
AI Agent - Tool Usage
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| Terminal Bench 2.0 | 59.3020 / 47Thinking (With Tools) | 47.6038 / 47 | +11.70 |
Claw-style Agent Evaluation
Gemini 3.0 Flash 1/1| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| Claw Bench | 72.4027 / 29Thinking (With Tools) | 85.7015 / 29Thinking (With Tools) | -13.30 |
Specs
| Field | Qwen3.6-27B | Gemini 3.0 Flash |
|---|---|---|
| Publisher | 阿里巴巴 | Google Deep Mind |
| Release date | 2026-04-22 | 2025-12-17 |
| Model type | Reasoning model | Chat model |
| Architecture | Dense | Dense |
| Parameters | 27B | Not available |
| Context length | 128K | 2000K |
| Max output | 16K | 64K |
API pricing
Prices use DataLearner records when available; missing fields are not inferred.
| Item | Qwen3.6-27B | Gemini 3.0 Flash |
|---|---|---|
| Text input | Not public | $0.5 / 1M tokens |
| Text output | Not public | $3 / 1M tokens |
One or both models have incomplete public pricing.
Summary
- Qwen3.6-27Bleads in:Coding and Software Engineer (2/2), AI Agent - Tool Usage (1/1)
- Gemini 3.0 Flashleads in:General Knowledge (2/3), Claw-style Agent Evaluation (1/1)
On average across the 7 shared benchmarks, Gemini 3.0 Flash scores 0.30 higher.
Largest single-benchmark gap: HLE — Qwen3.6-27B 24 vs Gemini 3.0 Flash 43.50 (-19.50).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.