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Gemma 4 31B vs GPT-4.1 Nano

Gemma 4 31B leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 14.7 to 7.8, at about the same output price ($0.40 vs $0.40 per million). Updated October 22, 2026; 41 benchmarks have a result for both.

Replace Gemma 4 31B Replace GPT-4.1 Nano
Gemma 4 31BGoogle
Coding
39.0
Overall
42.1
Output $/M
$0.40
41
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
vs boards won of 41 shared

Gemma 4 31B or GPT-4.1 Nano: which to pick

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; GPT-4.1 Nano has none, so the two cannot be ranked on coding.

Pick GPT-4.1 Nano for a larger context window (1.05M against 262K tokens).

Model AGemma 4 31BGoogle39.0/1002 independent benchmarksNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
41
Gemma 4 31B only
30
GPT-4.1 Nano only
30
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, GPT-4.1 Nano not benchmarked.
Widest category
Agentic work, 48.2 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Gemma 4 31B 69.7% against GPT-4.1 Nano 20.3%, 49.3 points apart on a 0 to 100 scale.
Output price
Both cost $0.40 per million output tokens.
Context window
Gemma 4 31B takes 262K tokens, GPT-4.1 Nano 1.05M.

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 31BBarsGPT-4.1 NanoTies
Coding50
Intelligence20
Agentic work10
Reasoning70
Math30
Knowledge60
General170
All shared boards410
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
LiveBench coding49.0%Not measuredOnly Gemma 4 31B measured
LMArena WebDev1367Not measuredOnly Gemma 4 31B measured
AA Coding Index43.411.1Gemma 4 31B
LiveCodeBench (Vals AI)Not measured42.7%Only GPT-4.1 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured32.6%Only GPT-4.1 Nano measured
SciCode45.5%Not measuredOnly Gemma 4 31B measured
Terminal-Bench Hard (Artificial Analysis run)36.4%3.8%Gemma 4 31B
WeirdML52.3%19.0%Gemma 4 31B
ALE-Bench925.5Not measuredOnly Gemma 4 31B measured
LMArena Text: coding14591306Gemma 4 31B
LMArena Text: software and IT14631305Gemma 4 31B
LMArena WebDev: React1359Not measuredOnly Gemma 4 31B measured
LMArena WebDev: HTML1380Not measuredOnly Gemma 4 31B measured
SciCode8.9%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 24 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
AA Intelligence Index14.77.8Gemma 4 31B
Epoch Capabilities Index143.0129.5Gemma 4 31B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
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%17.3%Gemma 4 31B
Berkeley Function Calling Leaderboard (BFCL)Not measured33.1%Only GPT-4.1 Nano measured
Neither model has a result on the other 35 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
LiveBench reasoning68.3%Not measuredOnly Gemma 4 31B measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)85.7%51.2%Gemma 4 31B
Humanity's Last Exam (Artificial Analysis run)23.6%3.8%Gemma 4 31B
GPQA Diamond (Epoch AI run)75.8%48.9%Gemma 4 31B
ARC-AGINot measured0.0%Only GPT-4.1 Nano measured
ARC-AGI-2Not measured0.0%Only GPT-4.1 Nano measured
Chess puzzlesNot measured0.0%Only GPT-4.1 Nano measured
LMArena Text: hard prompts14481286Gemma 4 31B
LMArena Text: expert14641271Gemma 4 31B
LMArena Text: hard prompts in English14561293Gemma 4 31B
LMArena Vision: diagrams1283Not measuredOnly Gemma 4 31B measured
LMArena Vision: homework1310Not measuredOnly Gemma 4 31B measured
Kagi LLM Benchmark63.5%33.3%Gemma 4 31B
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
AIMENot measured26.5%Only GPT-4.1 Nano measured
MATH 500 (Vals AI)Not measured80.2%Only GPT-4.1 Nano measured
MGSM (Vals AI)Not measured69.3%Only GPT-4.1 Nano measured
AA Math IndexNot measured24.0Only GPT-4.1 Nano measured
AIME 2025 (Artificial Analysis run)Not measured24.0%Only GPT-4.1 Nano measured
OTIS Mock AIME73.3%28.9%Gemma 4 31B
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math14631274Gemma 4 31B
LMArena Text: mathematical work14651274Gemma 4 31B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
MMLU ProNot measured63.5%Only GPT-4.1 Nano measured
LegalBench (Vals AI)Not measured61.1%Only GPT-4.1 Nano measured
CaseLaw (Vals AI)52.6%Not measuredOnly Gemma 4 31B measured
CorpFin (Vals AI)Not measured42.1%Only GPT-4.1 Nano measured
TaxEval (Vals AI)Not measured60.8%Only GPT-4.1 Nano measured
MortgageTax (Vals AI)61.4%52.8%Gemma 4 31B
MedQA (Vals AI)Not measured68.2%Only GPT-4.1 Nano measured
MMLU Pro (Artificial Analysis run)Not measured65.7%Only GPT-4.1 Nano measured
SimpleQA Verified10.4%6.0%Gemma 4 31B
LMArena Text: science14571297Gemma 4 31B
LMArena Text: medicine and healthcare14511276Gemma 4 31B
LMArena Text: legal and government14381300Gemma 4 31B
LMArena Text: business and finance14301267Gemma 4 31B
FACTS Benchmark Suite45.3%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Web design benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
Design Arena: websitesNot measured972Only GPT-4.1 Nano measured
Design Arena: UI componentsNot measured913Only GPT-4.1 Nano measured
Design Arena: game devNot measured970Only GPT-4.1 Nano measured
Design Arena: data vizNot measured891Only GPT-4.1 Nano measured
Design Arena: 3DNot measured924Only GPT-4.1 Nano measured
Design Arena: all code categoriesNot measured962Only GPT-4.1 Nano measured
LiveBench design58.4%Not measuredOnly Gemma 4 31B measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Gemma 4 31B and GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
LiveBench data analysis53.3%Not measuredOnly Gemma 4 31B measured
SAGE (Vals AI)55.0%Not measuredOnly Gemma 4 31B measured
IFBench75.6%32.0%Gemma 4 31B
Long context reasoning (AA-LCR)69.7%20.3%Gemma 4 31B
DTBench82.7%52.5%Gemma 4 31B
LMCA39.3%5.5%Gemma 4 31B
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
Surface Evolver Bench30.6%Not measuredOnly Gemma 4 31B measured
LMArena Text14431285Gemma 4 31B
LMArena Text: instruction following14331266Gemma 4 31B
LMArena Text: creative writing14171260Gemma 4 31B
LMArena Vision12761063Gemma 4 31B
LMArena Text: English14511303Gemma 4 31B
LMArena Text: non-English14301260Gemma 4 31B
LMArena Text: Chinese14751270Gemma 4 31B
LMArena Text: GermanNot measured1288Only GPT-4.1 Nano measured
LMArena Text: JapaneseNot measured1198Only GPT-4.1 Nano measured
LMArena Text: French1436Not measuredOnly Gemma 4 31B measured
LMArena Text: Spanish1442Not measuredOnly Gemma 4 31B measured
LMArena Text: Russian14601261Gemma 4 31B
LMArena Text: Polish1433Not measuredOnly Gemma 4 31B measured
LMArena Text: multi-turn14521277Gemma 4 31B
LMArena Text: longer queries14461283Gemma 4 31B
LMArena Text: writing and language14321261Gemma 4 31B
LMArena Text: entertainment and media14051243Gemma 4 31B
LMArena Vision: English12711101Gemma 4 31B
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 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 GPT-4.1 Nano
BenchmarkGemma 4 31BGPT-4.1 NanoLeader
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
GPT-4.1 Nano$0.0003Fits in one request

GPT-4.1 Nano costs less

Repository review

50K input + 3K output tokens

Gemma 4 31B$0.0082Fits in one request
GPT-4.1 Nano$0.0062Fits in one request

GPT-4.1 Nano costs less

Agent loop

200K input + 10K output tokens

Gemma 4 31B$0.032Fits in one request
GPT-4.1 Nano$0.024Fits in one request

GPT-4.1 Nano 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 GPT-4.1 Nano
SpecificationGoogle Gemma 4 31BOpenAI GPT-4.1 Nano
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 2, 2026April 14, 2025
Context window262K1.05M
Input $/Mtok$0.14$0.10
Output $/Mtok$0.40$0.40
Coding index39.0Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 31B better than GPT-4.1 Nano for coding?

Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; GPT-4.1 Nano has none, so the two cannot be ranked on coding. Pick GPT-4.1 Nano for a larger context window (1.05M against 262K tokens).

Which is cheaper, Gemma 4 31B or GPT-4.1 Nano?

Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; GPT-4.1 Nano costs $0.10 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Gemma 4 31B or GPT-4.1 Nano?

GPT-4.1 Nano, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 31B vs GPT-4.1 Nano comparison based on?

41 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and GPT-4.1 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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