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Gemma 4 31B vs Qwen3.5-Flash

Qwen3.5-Flash leads Gemma 4 31B on coding, 41.1 to 39.0 on the Vibe Coding Index, and Qwen3.5-Flash costs 1.5x less per output token ($0.26 vs $0.40 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace Gemma 4 31B Replace Qwen3.5-Flash
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
31
Qwen3.5-FlashQwen
Coding
41.1
Overall
50.1
Output $/M
$0.26
7
vs boards won of 38 shared

Gemma 4 31B or Qwen3.5-Flash: which to pick

Pick Qwen3.5-Flash for coding: it scores 41.1 on the Vibe Coding Index against 39.0 for Gemma 4 31B.

Pick Gemma 4 31B for work measured by LMArena WebDev or ALE-Bench, where it leads.

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel BQwen3.5-FlashQwen41.1/1002 independent benchmarks$0.40 per solved task
Shared results
38
Gemma 4 31B only
33
Qwen3.5-Flash only
17
Like-for-like categories
6 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Gemma 4 31B 39.0 from 2 benchmarks, Qwen3.5-Flash 41.1 from 2 benchmarks.
Widest category
Coding, 15.3 points apart on average over 6 shared benchmarks.
Widest single gap
ALE-Bench: Gemma 4 31B 925.5 against Qwen3.5-Flash 265.9, 22.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against Qwen3.5-Flash $0.26 per million output tokens, 1.5x apart.
Context window
Gemma 4 31B takes 262K tokens, Qwen3.5-Flash 1M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGemma 4 31BBarsQwen3.5-FlashTies
Coding60
Intelligence01
Reasoning31
Math21
Knowledge43
General161
All shared boards317
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev13671244Gemma 4 31B
AA Coding Index43.4Not measuredOnly Gemma 4 31B measured
LiveCodeBench (Vals AI)Not measured83.3%Only Qwen3.5-Flash measured
SWE-bench Verified (Vals AI)Not measured64.4%Only Qwen3.5-Flash measured
SciCode45.5%Not measuredOnly Gemma 4 31B measured
Terminal-Bench Hard (Artificial Analysis run)36.4%Not measuredOnly Gemma 4 31B measured
WeirdML52.3%Not measuredOnly Gemma 4 31B measured
ALE-Bench925.5265.9Gemma 4 31B
LMArena Text: coding14591412Gemma 4 31B
LMArena Text: software and IT14631416Gemma 4 31B
LMArena WebDev: React13591229Gemma 4 31B
LMArena WebDev: HTML13801291Gemma 4 31B
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
AA Intelligence Index14.7Not measuredOnly Gemma 4 31B measured
Epoch Capabilities Index143.0143.5Qwen3.5-Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Agentic work benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
AA Agentic Index4.2Not measuredOnly Gemma 4 31B measured
LiveBench research44.4%Not measuredOnly Gemma 4 31B measured
LiveBench browser4.0%Not measuredOnly Gemma 4 31B measured
LiveBench long agentic13.3%Not measuredOnly Gemma 4 31B measured
τ²-Bench Telecom65.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index31
Reasoning benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
GPQA DiamondNot measured82.8%Only Qwen3.5-Flash measured
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
MMMU Pro (Vals AI)Not measured81.9%Only Qwen3.5-Flash measured
GPQA Diamond (Artificial Analysis run)85.7%Not measuredOnly Gemma 4 31B measured
Humanity's Last Exam (Artificial Analysis run)23.6%Not measuredOnly Gemma 4 31B measured
GPQA Diamond (Epoch AI run)75.8%82.3%Qwen3.5-Flash
Chess puzzlesNot measured14.0%Only Qwen3.5-Flash measured
Mystery game puzzlesNot measured20.0%Only Qwen3.5-Flash measured
LMArena Text: hard prompts14481403Gemma 4 31B
LMArena Text: expert14641407Gemma 4 31B
LMArena Text: hard prompts in English14561409Gemma 4 31B
LMArena Vision: diagrams1283Not measuredOnly Gemma 4 31B measured
LMArena Vision: homework1310Not measuredOnly Gemma 4 31B measured
Kagi LLM Benchmark63.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
AIMENot measured92.5%Only Qwen3.5-Flash measured
OTIS Mock AIME73.3%84.4%Qwen3.5-Flash
FrontierMath, tiers 1 to 3Not measured18.2%Only Qwen3.5-Flash measured
LMArena Text: math14631407Gemma 4 31B
LMArena Text: mathematical work14651413Gemma 4 31B
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index43
Knowledge benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
MMLU ProNot measured84.1%Only Qwen3.5-Flash measured
LegalBench (Vals AI)Not measured84.3%Only Qwen3.5-Flash measured
CaseLaw (Vals AI)52.6%56.0%Qwen3.5-Flash
CorpFin (Vals AI)Not measured63.6%Only Qwen3.5-Flash measured
TaxEval (Vals AI)Not measured72.2%Only Qwen3.5-Flash measured
MortgageTax (Vals AI)61.4%67.4%Qwen3.5-Flash
MedCode (Vals AI)Not measured33.0%Only Qwen3.5-Flash measured
SimpleQA Verified10.4%20.3%Qwen3.5-Flash
LMArena Text: science14571415Gemma 4 31B
LMArena Text: medicine and healthcare14511407Gemma 4 31B
LMArena Text: legal and government14381398Gemma 4 31B
LMArena Text: business and finance14301394Gemma 4 31B
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Web design benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 8 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index161
General benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%42.5%Gemma 4 31B
MedScribe (Vals AI)Not measured70.6%Only Qwen3.5-Flash measured
IFBench75.6%Not measuredOnly Gemma 4 31B measured
Long context reasoning (AA-LCR)69.7%Not measuredOnly Gemma 4 31B measured
DTBench82.7%82.9%Qwen3.5-Flash
LMCA39.3%29.1%Gemma 4 31B
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text14431397Gemma 4 31B
LMArena Text: instruction following14331374Gemma 4 31B
LMArena Text: creative writing14171343Gemma 4 31B
LMArena Vision1276Not measuredOnly Gemma 4 31B measured
LMArena Text: English14511404Gemma 4 31B
LMArena Text: non-English14301385Gemma 4 31B
LMArena Text: Chinese14751445Gemma 4 31B
LMArena Text: GermanNot measured1390Only Qwen3.5-Flash measured
LMArena Text: JapaneseNot measured1369Only Qwen3.5-Flash measured
LMArena Text: KoreanNot measured1344Only Qwen3.5-Flash measured
LMArena Text: French14361413Gemma 4 31B
LMArena Text: Spanish14421400Gemma 4 31B
LMArena Text: Russian14601380Gemma 4 31B
LMArena Text: Polish14331376Gemma 4 31B
LMArena Text: multi-turn14521393Gemma 4 31B
LMArena Text: longer queries14461392Gemma 4 31B
LMArena Text: writing and language14321369Gemma 4 31B
LMArena Text: entertainment and media14051347Gemma 4 31B
LMArena Vision: English1271Not measuredOnly Gemma 4 31B measured
LMArena Vision: Chinese1326Not measuredOnly Gemma 4 31B measured
LMArena Vision: reading text1282Not measuredOnly Gemma 4 31B measured
LMArena Vision: humor1280Not measuredOnly Gemma 4 31B measured
LMArena Vision: captioning1218Not measuredOnly Gemma 4 31B measured
LMArena Vision: recognizing things1226Not measuredOnly Gemma 4 31B measured
LMArena Vision: creative writing1285Not measuredOnly Gemma 4 31B measured
LMArena Document1425Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 31B and Qwen3.5-Flash
BenchmarkGemma 4 31BQwen3.5-FlashLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Gemma 4 31B$0.0003Fits in one request
Qwen3.5-Flash$0.0002Fits in one request

Qwen3.5-Flash costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
Qwen3.5-Flash$0.0040Fits in one request

Qwen3.5-Flash costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
Qwen3.5-Flash$0.016Fits in one request

Qwen3.5-Flash costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Gemma 4 31B and Qwen3.5-Flash
SpecificationGoogle Gemma 4 31BQwen3.5-Flash
MakerGoogleQwen
WeightsOpen weightsNo public weights listed
ReleasedApril 2, 2026February 25, 2026
Context window262K1M
Input $/Mtok$0.14$0.065
Output $/Mtok$0.40$0.26
Coding index39.041.1
Independent measurements behind it22
Cost per solved taskNot computable$0.40
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than Qwen3.5-Flash for coding?

Pick Qwen3.5-Flash for coding: it scores 41.1 on the Vibe Coding Index against 39.0 for Gemma 4 31B. Pick Gemma 4 31B for work measured by LMArena WebDev or ALE-Bench, where it leads.

Which is cheaper, Gemma 4 31B or Qwen3.5-Flash?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; Qwen3.5-Flash costs $0.065 and $0.26. Cost per solved task is known for Qwen3.5-Flash only.

Which has the bigger context window, Gemma 4 31B or Qwen3.5-Flash?

Qwen3.5-Flash, with 1M tokens against 262K.

How many benchmarks is the Gemma 4 31B vs Qwen3.5-Flash comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Qwen3.5-Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<iframe src="https://llmbenchmark.ai/embed/compare/gemma-4-31b-it-vs-qwen3-5-flash-02-23" title="Gemma 4 31B vs Qwen3.5-Flash, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/gemma-4-31b-it-vs-qwen3-5-flash-02-23">LLMBenchmark.ai, Gemma 4 31B vs Qwen3.5-Flash</a></p>