Model comparison

Gemini 3.8 Flash vs Qwen3.5 397B-A17B

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 46.0 on the Noometry Index.

Last verified . 30 shared benchmarks.

Gemini 3.8 Flash Google

61.8

Rank #11 Confirmed

Qwen3.5 397B-A17B Alibaba (Qwen)

46.0

Rank #67 Confirmed

Summary

  • They share 30 benchmarks with published results for both. Gemini 3.8 Flash scores higher in 9 categories and Qwen3.5 397B-A17B in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Gemini 3.8 Flash leads 76.9 to 34.5.
  • The biggest single-benchmark swing is Chess Puzzles: 61% for Gemini 3.8 Flash and 13% for Qwen3.5 397B-A17B.
  • Qwen3.5 397B-A17B is cheaper at $0.60 / $3.60 per million input/output tokens, against $0.75 / $3.75 for Gemini 3.8 Flash.
  • Gemini 3.8 Flash accepts more context: 1.05M tokens versus 262K.
  • Qwen3.5 397B-A17B has downloadable open weights; the other is API-only.

Side by side

Gemini 3.8 Flash and Qwen3.5 397B-A17B specifications
Gemini 3.8 FlashQwen3.5 397B-A17B
ProviderGoogleAlibaba (Qwen)
Noometry Index61.846.0
Released2026-09-022026-02-01
WeightsProprietaryOpen
Context window1.05M262K
Max output66K66K
Input $ / M tokens$0.75$0.60
Output $ / M tokens$3.75$3.60
Results tracked5036

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Gemini 3.8 Flash leads

Gemini 3.8 Flash: 59.2 (#15), Qwen3.5 397B-A17B: 42.0 (#114)

Coding benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
LMArena WebDev15841400
LMArena Coding15101465
DeepSWE73.8%—
FrontierCode41.2%—
CursorBench39.6%—
FrontierSWE19.6%—
SciCode56.6%—
WeirdML84.8%—
ALE-Bench1,270—

Agentic & Tool Use Gemini 3.8 Flash leads

Gemini 3.8 Flash: 41.8 (#21), Qwen3.5 397B-A17B: 33.3 (#53)

Agentic & Tool Use benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
APEX-Agents64.3%24.9%
Remote Labor Index5.8%—
τ²-bench Airline—81.5%
τ²-bench Banking—9.8%
τ²-bench Retail—84.4%
τ²-bench Telecom—97.8%
GDP.pdf23.4%—
Vending-Bench 25,094—

Reasoning Gemini 3.8 Flash leads

Gemini 3.8 Flash: 76.9 (#5), Qwen3.5 397B-A17B: 34.5 (#70)

Reasoning benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
NYT Connections (extended)97.4%58.9%
Chess Puzzles61%13%
LMArena Hard Prompts15081448
Mystery Game Puzzles47%18%
DTBench95.7%87.5%
LMCA52.9%37.9%
Epoch Capabilities Index156.71146.65
ARC-AGI-289.2%—
Kagi LLM Benchmark—73.7%
ARC-AGI-198.5%—
CritPt18.3%—
Thematic Generalization—65.1%
Surface Evolver Bench76.9%—

Math Gemini 3.8 Flash leads

Gemini 3.8 Flash: 65.3 (#28), Qwen3.5 397B-A17B: 46.1 (#73)

Math benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
FrontierMath (Tiers 1-3)68.4%31.2%
OTIS Mock AIME 2024-202598.9%88.9%
LMArena Math15281454
FrontierMath Tier 422%—
ProofBench48%—

Knowledge Gemini 3.8 Flash leads

Gemini 3.8 Flash: 74.8 (#2), Qwen3.5 397B-A17B: 53.3 (#58)

Knowledge benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
GPQA Diamond95.4%86.4%
LMArena Expert15241462
Humanity's Last Exam44.5%—
SimpleQA Verified69.7%—

Multimodal Too close to call

Gemini 3.8 Flash: 40.7 (#45), Qwen3.5 397B-A17B: 40.7 (#44)

Multimodal benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
LMArena Vision13141263
Blueprint-Bench 238.6%—
Furniture Assembly31.7%—

Multilingual Gemini 3.8 Flash leads

Gemini 3.8 Flash: 58.0 (#5), Qwen3.5 397B-A17B: 53.7 (#59)

Multilingual benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
LMArena Non-English14911430
LMArena Chinese15541500
LMArena French14981461
LMArena German14931447
LMArena Japanese15021426
LMArena Korean14591384
LMArena Russian15151429
LMArena Spanish14851441

Instruction Following Gemini 3.8 Flash leads

Gemini 3.8 Flash: 78.0 (#13), Qwen3.5 397B-A17B: 75.0 (#77)

Instruction Following benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
LMArena Instruction Following14901424

Long Context Gemini 3.8 Flash leads

Gemini 3.8 Flash: 46.3 (#24), Qwen3.5 397B-A17B: 44.1 (#74)

Long Context benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
LMArena Longer Query15081442

Writing & Preference Gemini 3.8 Flash leads

Gemini 3.8 Flash: 72.2 (#15), Qwen3.5 397B-A17B: 62.3 (#79)

Writing & Preference benchmarks
BenchmarkGemini 3.8 FlashQwen3.5 397B-A17B
LMArena Text14991438
LMArena Creative Writing14921401
EQ-Bench Creative Writing17481478
LMArena Multi-Turn15011446

Frequently asked questions

Is Gemini 3.8 Flash better than Qwen3.5 397B-A17B?

Gemini 3.8 Flash is the stronger model overall, scoring 61.8 to 46.0 on the Noometry Index.

Which is cheaper, Gemini 3.8 Flash or Qwen3.5 397B-A17B?

Qwen3.5 397B-A17B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Gemini 3.8 Flash lists at $0.75 and $3.75.

Is Gemini 3.8 Flash or Qwen3.5 397B-A17B better for coding?

Gemini 3.8 Flash scores higher on coding benchmarks: 59.2 versus 42.0 in the Noometry coding category.

Which has the bigger context window?

Gemini 3.8 Flash does, with 1.05M tokens against 262K.

How many benchmarks do Gemini 3.8 Flash and Qwen3.5 397B-A17B share?

30 benchmarks have published results for both models. Gemini 3.8 Flash has 50 scored results on Noometry and Qwen3.5 397B-A17B has 36.

Related comparisons

Go deeper