Qwen3.6-27BvsGemini 3.0 Flash
Qwen3.6-27B and Gemini 3.0 Flash are tied across 10 shared benchmarks: Qwen3.6-27B leads on 5, Gemini 3.0 Flash leads on 5, with 0 ties and an average score difference of +3.27.
阿里巴巴 · 2026-04-22 · Reasoning model
Google Deep Mind · 2025-12-17 · Chat model
Benchmark scores
Grouped by capability, sorted by largest gap within each. 10 shared benchmarks.
General Knowledge
Qwen3.6-27B 2/3| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| LiveBench | 64.0354 / 117Normal (No Tools) | 56.3581 / 117Normal (No Tools) | +7.68 |
| CritPt | 0.90158 / 200Normal (No Tools) | 1.40135 / 200Normal (No Tools) | -0.50 |
| HLE | 15.10333 / 563Normal (No Tools) · Text only | 15334 / 563Normal (No Tools) · Text only | +0.10 |
Agent Level Benchmark
Even 2/2| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| τ²-Bench - Telecom | 93.6046 / 264Normal (With Tools) | 43.30186 / 264Normal (With Tools) | +50.30 |
| Terminal Bench Hard | 21.20145 / 244Normal (With Tools) | 31.80100 / 244Normal (With Tools) | -10.60 |
AI Agent - Tool Usage
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| Terminal Bench 2.0 | 59.3020 / 48Thinking (With Tools) | 47.6039 / 48Thinking (With Tools) | +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 |
General Evaluation
Qwen3.6-27B 1/1| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| GPQA Diamond | 84.85159 / 462Normal (No Tools) | 81.20215 / 462Normal (No Tools) | +3.65 |
Instruction Following
Gemini 3.0 Flash 1/1| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| IF Bench | 45.70177 / 282Normal (No Tools) | 55.10133 / 282Normal (No Tools) | -9.40 |
Multimodal Understanding
Gemini 3.0 Flash 1/1| Benchmark | Qwen3.6-27B | Gemini 3.0 Flash | Diff |
|---|---|---|---|
| MMMU-Pro | 71.70118 / 227Normal (No Tools) | 78.6055 / 227Normal (No Tools) | -6.90 |
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:General Knowledge (2/3), AI Agent - Tool Usage (1/1), General Evaluation (1/1)
- Gemini 3.0 Flashleads in:Claw-style Agent Evaluation (1/1), Instruction Following (1/1), Multimodal Understanding (1/1)
- Tied in:Agent Level Benchmark
On average across the 10 shared benchmarks, Qwen3.6-27B scores 3.27 higher.
Largest single-benchmark gap: τ²-Bench - Telecom — Qwen3.6-27B 93.60 vs Gemini 3.0 Flash 43.30 (+50.30).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.