Gemma 4 31BvsKimi K2.5
Across 5 shared benchmarks, Kimi K2.5 leads overall: Gemma 4 31B wins 1, Kimi K2.5 wins 4, with 0 ties and an average score difference of -5.72.
Gemma 4 31B
DeepMind · 2026-04-02 · Chat model
Kimi K2.5
Moonshot AI · 2026-01-27 · Multimodal model
Gemma 4 31B1 win(20%)(80%)4 winsKimi K2.5
Benchmark scores
Grouped by capability, sorted by largest gap within each. 5 shared benchmarks.
General Knowledge
Kimi K2.5 2/3| Benchmark | Gemma 4 31B | Kimi K2.5 | Diff |
|---|---|---|---|
| HLE | 26.5083 / 157Thinking (With Tools + Internet) | 50.2020 / 157Thinking (With Tools) | -23.70 |
| MMLU Pro | 85.2023 / 126Thinking (No Tools) | 78.5066 / 126Thinking (No Tools) | +6.70 |
| GPQA Diamond | 84.3053 / 178Thinking (No Tools) | 87.6034 / 178Thinking (No Tools) | -3.30 |
Coding and Software Engineer
Kimi K2.5 1/1| Benchmark | Gemma 4 31B | Kimi K2.5 | Diff |
|---|---|---|---|
| LiveCodeBench | 8030 / 120Thinking (No Tools) | 8516 / 120Thinking (No Tools) | -5 |
Math and Reasoning
Kimi K2.5 1/1| Benchmark | Gemma 4 31B | Kimi K2.5 | Diff |
|---|---|---|---|
| AIME 2026 | 89.2013 / 14Thinking (No Tools) | 92.5010 / 14Thinking (No Tools) | -3.30 |
Specs
| Field | Gemma 4 31B | Kimi K2.5 |
|---|---|---|
| Publisher | DeepMind | Moonshot AI |
| Release date | 2026-04-02 | 2026-01-27 |
| Model type | Chat model | Multimodal model |
| Architecture | Dense | MoE |
| Parameters | 3.1B | 1T |
| Context length | 256K | 256K |
| Max output | 32K | 16K |
Summary
- Kimi K2.5leads in:General Knowledge (2/3), Coding and Software Engineer (1/1), Math and Reasoning (1/1)
On average across the 5 shared benchmarks, Kimi K2.5 scores 5.72 higher.
Largest single-benchmark gap: HLE — Gemma 4 31B 26.50 vs Kimi K2.5 50.20 (-23.70).
Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.