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Gemma 4 31B vs Qwen3.5-122B-A10B

Qwen3.5-122B-A10B leads Gemma 4 31B on the Artificial Analysis Intelligence Index, 17.7 to 14.7, and Gemma 4 31B costs 5.2x less per output token ($0.40 vs $2.08 per million). Updated October 22, 2026; 47 benchmarks have a result for both.

Replace Gemma 4 31B Replace Qwen3.5-122B-A10B
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
39
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
7
vs boards won of 47 shared, 1 tied

Gemma 4 31B or Qwen3.5-122B-A10B: which to pick

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding.

Pick Qwen3.5-122B-A10B for work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel BQwen3.5-122B-A10BQwenNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
47
Gemma 4 31B only
24
Qwen3.5-122B-A10B only
4
Like-for-like categories
7 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, Qwen3.5-122B-A10B not benchmarked.
Widest category
Agentic work, 28.1 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Gemma 4 31B 65.5% against Qwen3.5-122B-A10B 93.6%, 28.1 points apart on a 0 to 100 scale.
Output price
Gemma 4 31B $0.40 against Qwen3.5-122B-A10B $2.08 per million output tokens, 5.2x apart.
Context window
Both take 262K tokens.

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 31BBarsQwen3.5-122B-A10BTies
Coding80
Intelligence01
Agentic work01
Reasoning511 tie
Math20
Knowledge40
General204
All shared boards3971 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev13671361Gemma 4 31B
AA Coding Index43.443.3Gemma 4 31B
SciCode45.5%39.7%Gemma 4 31B
Terminal-Bench Hard (Artificial Analysis run)36.4%31.1%Gemma 4 31B
WeirdML52.3%Not measuredOnly Gemma 4 31B measured
ALE-Bench925.5Not measuredOnly Gemma 4 31B measured
LMArena Text: coding14591436Gemma 4 31B
LMArena Text: software and IT14631436Gemma 4 31B
LMArena WebDev: React13591353Gemma 4 31B
LMArena WebDev: HTML13801351Gemma 4 31B
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 27 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
AA Intelligence Index14.717.7Qwen3.5-122B-A10B
Epoch Capabilities Index143.0Not measuredOnly Gemma 4 31B measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
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%93.6%Qwen3.5-122B-A10B
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index51
Reasoning benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
GPQA Diamond (Artificial Analysis run)85.7%85.7%Tie
Humanity's Last Exam (Artificial Analysis run)23.6%25.2%Qwen3.5-122B-A10B
GPQA Diamond (Epoch AI run)75.8%Not measuredOnly Gemma 4 31B measured
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts14481421Gemma 4 31B
LMArena Text: expert14641431Gemma 4 31B
LMArena Text: hard prompts in English14561431Gemma 4 31B
LMArena Vision: diagrams12831249Gemma 4 31B
LMArena Vision: homework13101261Gemma 4 31B
Kagi LLM Benchmark63.5%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
OTIS Mock AIME73.3%Not measuredOnly Gemma 4 31B measured
LMArena Text: math14631431Gemma 4 31B
LMArena Text: mathematical work14651431Gemma 4 31B
Neither model has a result on the other 10 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
CaseLaw (Vals AI)52.6%Not measuredOnly Gemma 4 31B measured
MortgageTax (Vals AI)61.4%Not measuredOnly Gemma 4 31B measured
SimpleQA Verified10.4%Not measuredOnly Gemma 4 31B measured
LMArena Text: science14571432Gemma 4 31B
LMArena Text: medicine and healthcare14511423Gemma 4 31B
LMArena Text: legal and government14381422Gemma 4 31B
LMArena Text: business and finance14301414Gemma 4 31B
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 10 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 Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
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 index204
General benchmarks for Gemma 4 31B and Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)69.7%76.3%Qwen3.5-122B-A10B
DTBench82.7%84.3%Qwen3.5-122B-A10B
LMCA39.3%32.2%Gemma 4 31B
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text14431417Gemma 4 31B
LMArena Text: instruction following14331399Gemma 4 31B
LMArena Text: creative writing14171368Gemma 4 31B
LMArena Vision12761244Gemma 4 31B
LMArena Text: English14511428Gemma 4 31B
LMArena Text: non-English14301401Gemma 4 31B
LMArena Text: Chinese14751463Gemma 4 31B
LMArena Text: GermanNot measured1425Only Qwen3.5-122B-A10B measured
LMArena Text: JapaneseNot measured1367Only Qwen3.5-122B-A10B measured
LMArena Text: KoreanNot measured1353Only Qwen3.5-122B-A10B measured
LMArena Text: French14361443Qwen3.5-122B-A10B
LMArena Text: Spanish14421425Gemma 4 31B
LMArena Text: Russian14601400Gemma 4 31B
LMArena Text: Polish14331398Gemma 4 31B
LMArena Text: multi-turn14521416Gemma 4 31B
LMArena Text: longer queries14461410Gemma 4 31B
LMArena Text: writing and language14321387Gemma 4 31B
LMArena Text: entertainment and media14051366Gemma 4 31B
LMArena Vision: English12711249Gemma 4 31B
LMArena Vision: Chinese13261301Gemma 4 31B
LMArena Vision: reading text12821251Gemma 4 31B
LMArena Vision: humor12801243Gemma 4 31B
LMArena Vision: captioning1218Not measuredOnly Gemma 4 31B measured
LMArena Vision: recognizing things1226Not measuredOnly Gemma 4 31B measured
LMArena Vision: creative writing12851220Gemma 4 31B
LMArena Document1425Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 13 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 Qwen3.5-122B-A10B
BenchmarkGemma 4 31BQwen3.5-122B-A10BLeader
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
Qwen3.5-122B-A10B$0.0013Fits in one request

Gemma 4 31B costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Gemma 4 31B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

Gemma 4 31B 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 Qwen3.5-122B-A10B
SpecificationGoogle Gemma 4 31BQwen3.5-122B-A10B
MakerGoogleQwen
WeightsOpen weightsOpen weights
ReleasedApril 2, 2026February 25, 2026
Context window262K262K
Input $/Mtok$0.14$0.26
Output $/Mtok$0.40$2.08
Coding index39.0Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than Qwen3.5-122B-A10B for coding?

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Qwen3.5-122B-A10B has none, so the two cannot be ranked on coding. Pick Qwen3.5-122B-A10B for work measured by AA Intelligence Index or τ²-Bench Telecom, where it leads.

Which is cheaper, Gemma 4 31B or Qwen3.5-122B-A10B?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 31B or Qwen3.5-122B-A10B?

Neither: both take 262K tokens.

How many benchmarks is the Gemma 4 31B vs Qwen3.5-122B-A10B comparison based on?

47 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

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