Model comparison

Gemma 1.1 7b IT vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 30.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemma 1.1 7b IT Google

30.7

Rank #275 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.3

Rank #105 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 0 categories and Qwen3.5-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.5-Flash leads 58.2 to 30.6.
  • Gemma 1.1 7b IT has downloadable open weights; the other is API-only.

Side by side

Gemma 1.1 7b IT and Qwen3.5-Flash specifications
Gemma 1.1 7b ITQwen3.5-Flash
ProviderGoogleAlibaba (Qwen)
Noometry Index30.742.3
Released—2026-02-23
WeightsOpenProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked1932

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Category by category

Coding Qwen3.5-Flash leads

Gemma 1.1 7b IT: 31.0 (#279), Qwen3.5-Flash: 33.9 (#234)

Coding benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Coding10841412
LMArena WebDev—1243
ALE-Bench—221.8
HumanEval+35.4%—
MBPP+45%—

Agentic & Tool Use Not comparable

Gemma 1.1 7b IT: —, Qwen3.5-Flash: —

Agentic & Tool Use benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

Gemma 1.1 7b IT: 19.6 (#235), Qwen3.5-Flash: 32.9 (#63)

Reasoning benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Hard Prompts10711404
Chess Puzzles—21%
Mystery Game Puzzles—20%
DTBench—82.9%
LMCA—29.1%
Epoch Capabilities Index—143.98

Math Qwen3.5-Flash leads

Gemma 1.1 7b IT: 29.5 (#217), Qwen3.5-Flash: 36.3 (#117)

Math benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Math11071407
FrontierMath (Tiers 1-3)—18.2%
OTIS Mock AIME 2024-2025—84.4%
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.5-Flash leads

Gemma 1.1 7b IT: 27.8 (#242), Qwen3.5-Flash: 43.2 (#84)

Knowledge benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Expert10391408
GPQA Diamond—82.3%
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%

Multilingual Qwen3.5-Flash leads

Gemma 1.1 7b IT: 28.3 (#268), Qwen3.5-Flash: 50.7 (#116)

Multilingual benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Non-English10521385
LMArena Chinese10601446
LMArena French10641412
LMArena German10541389
LMArena Japanese9711369
LMArena Korean9881344
LMArena Russian10461379
LMArena Spanish10491399

Instruction Following Qwen3.5-Flash leads

Gemma 1.1 7b IT: 54.3 (#278), Qwen3.5-Flash: 72.8 (#133)

Instruction Following benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Instruction Following10571374

Long Context Qwen3.5-Flash leads

Gemma 1.1 7b IT: 32.0 (#267), Qwen3.5-Flash: 42.4 (#119)

Long Context benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Longer Query10561392

Writing & Preference Qwen3.5-Flash leads

Gemma 1.1 7b IT: 30.6 (#283), Qwen3.5-Flash: 58.2 (#117)

Writing & Preference benchmarks
BenchmarkGemma 1.1 7b ITQwen3.5-Flash
LMArena Text10941397
LMArena Creative Writing10591343
LMArena Multi-Turn10401393

Frequently asked questions

Is Gemma 1.1 7b IT better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.3 to 30.7 on the Noometry Index.

Is Gemma 1.1 7b IT or Qwen3.5-Flash better for coding?

Qwen3.5-Flash scores higher on coding benchmarks: 33.9 versus 31.0 in the Noometry coding category.

How many benchmarks do Gemma 1.1 7b IT and Qwen3.5-Flash share?

17 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and Qwen3.5-Flash has 32.

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