Gemma 4 31BvsQwen3.5-27B
Across 10 shared benchmarks, Qwen3.5-27B leads overall: Gemma 4 31B wins 3, Qwen3.5-27B wins 7, with 0 ties and an average score difference of +20.45.
Gemma 4 31B
DeepMind · 2026-04-02 · Chat model
Qwen3.5-27B
阿里巴巴 · 2026-02-25 · Reasoning model
Gemma 4 31B3 wins(30%)(70%)7 winsQwen3.5-27B
Benchmark scores
Grouped by capability, sorted by largest gap within each. 10 shared benchmarks.
Agent Level Benchmark
Qwen3.5-27B 3/3| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| τ²-Bench - Telecom | 65.50149 / 264Normal (With Tools) | 87.1074 / 264Normal (With Tools) | -21.60 |
| τ²-Bench | 76.9020 / 44Thinking (With Tools) | 7917 / 44Thinking (With Tools) | -2.10 |
| Terminal Bench Hard | 30.30110 / 244Normal (With Tools) | 31.80100 / 244Normal (With Tools) | -1.50 |
General Knowledge
Qwen3.5-27B 2/2| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| HLE | 11.80369 / 563Normal (No Tools) · Text only | 13.90348 / 563Normal (No Tools) · Text only | -2.10 |
| MMLU Pro | 85.2026 / 176Thinking (No Tools) | 86.1021 / 176Thinking (No Tools) | -0.90 |
Coding and Software Engineer
Gemma 4 31B 1/1| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| CodeForces | 2,15014 / 21Thinking (No Tools) | 1,89917 / 21Thinking (No Tools) | +251 |
General Evaluation
Qwen3.5-27B 1/1| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| GPQA Diamond | 76.30270 / 462Normal (No Tools) | 84.20174 / 462Normal (No Tools) | -7.90 |
Instruction Following
Gemma 4 31B 1/1| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| IF Bench | 53.50144 / 282Normal (No Tools) | 46.90171 / 282Normal (No Tools) | +6.60 |
Long Context
Qwen3.5-27B 1/1| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| AA-LCR | 46.70141 / 170Normal (No Tools) | 64122 / 170Normal (No Tools) | -17.30 |
Multimodal Understanding
Gemma 4 31B 1/1| Benchmark | Gemma 4 31B | Qwen3.5-27B | Diff |
|---|---|---|---|
| MMMU-Pro | 70.30126 / 227Normal (No Tools) | 70130 / 227Normal (No Tools) | +0.30 |
Specs
| Field | Gemma 4 31B | Qwen3.5-27B |
|---|---|---|
| Publisher | DeepMind | 阿里巴巴 |
| Release date | 2026-04-02 | 2026-02-25 |
| Model type | Chat model | Reasoning model |
| Architecture | Dense | Dense |
| Parameters | 30.7B | 27B |
| Context length | 256K | 1010K |
| Max output | 32K | 248320 |
Summary
- Gemma 4 31Bleads in:Coding and Software Engineer (1/1), Instruction Following (1/1), Multimodal Understanding (1/1)
- Qwen3.5-27Bleads in:Agent Level Benchmark (3/3), General Knowledge (2/2), General Evaluation (1/1), Long Context (1/1)
On average across the 10 shared benchmarks, Gemma 4 31B scores 20.45 higher.
Largest single-benchmark gap: CodeForces — Gemma 4 31B 2,150 vs Qwen3.5-27B 1,899 (+251).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.