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Gemini 3.1 Flash-LitevsQwen3.6-35B-A3B

Across 3 shared benchmarks, Gemini 3.1 Flash-Lite leads overall: Gemini 3.1 Flash-Lite wins 3, Qwen3.6-35B-A3B wins 0, with 0 ties and an average score difference of +2.93.

Google Deep Mind
Gemini 3.1 Flash-Lite

Google Deep Mind · 2026-05-07 · Multimodal model

阿里巴巴
Qwen3.6-35B-A3B

阿里巴巴 · 2026-04-16 · Reasoning model

Gemini 3.1 Flash-Lite3 wins(100%)(0%)0 winsQwen3.6-35B-A3B

Benchmark scores

Grouped by capability, sorted by largest gap within each. 3 shared benchmarks.

Coding and Software Engineer

Gemini 3.1 Flash-Lite 1/1
BenchmarkGemini 3.1 Flash-LiteQwen3.6-35B-A3BDiff
SciCode43.4095 / 130Thinking (No Tools)36.60112 / 130Thinking (No Tools)+6.80

General Knowledge

Gemini 3.1 Flash-Lite 1/1
BenchmarkGemini 3.1 Flash-LiteQwen3.6-35B-A3BDiff
CritPt1.10147 / 200Thinking (No Tools)0.30182 / 200Thinking (No Tools)+0.80

Multimodal Understanding

Gemini 3.1 Flash-Lite 1/1
BenchmarkGemini 3.1 Flash-LiteQwen3.6-35B-A3BDiff
GDP.pdf7.8088 / 118Thinking (No Tools)6.6090 / 118Thinking (No Tools)+1.20

Specs

FieldGemini 3.1 Flash-LiteQwen3.6-35B-A3B
PublisherGoogle Deep Mind阿里巴巴
Release date2026-05-072026-04-16
Model typeMultimodal modelReasoning model
ArchitectureDenseMoE
ParametersNot available35B
Context length1M200K
Max output64K80K

Summary

  • Gemini 3.1 Flash-Liteleads in:Coding and Software Engineer (1/1), General Knowledge (1/1), Multimodal Understanding (1/1)

On average across the 3 shared benchmarks, Gemini 3.1 Flash-Lite scores 2.93 higher.

Largest single-benchmark gap: SciCode — Gemini 3.1 Flash-Lite 43.40 vs Qwen3.6-35B-A3B 36.60 (+6.80).

Page generated from structured model, pricing and benchmark records. No real-time LLM is used to write the prose.