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Gemma 4 26B A4B vs GPT-4.1 Nano

Gemma 4 26B A4B leads GPT-4.1 Nano on the Artificial Analysis Intelligence Index, 16.7 to 7.8, and GPT-4.1 Nano costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace GPT-4.1 Nano
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
38
GPT-4.1 NanoOpenAI
Coding
No data
Overall
24.7
Output $/M
$0.40
0
vs boards won of 38 shared

Gemma 4 26B A4B or GPT-4.1 Nano: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-4.1 NanoOpenAINot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
38
Gemma 4 26B A4B only
17
GPT-4.1 Nano only
33
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 26B A4B not benchmarked, GPT-4.1 Nano not benchmarked.
Widest category
Math, 39.8 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 4 26B A4B 82.2% against GPT-4.1 Nano 28.9%, 53.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against GPT-4.1 Nano $0.40 per million output tokens, 1.5x apart.
Context window
Gemma 4 26B A4B 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 26B A4BBarsGPT-4.1 NanoTies
Coding50
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge40
General170
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
Coding benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-4.1 NanoLeader
Aider polyglotNot measured8.9%Only GPT-4.1 Nano measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.311.1Gemma 4 26B A4B
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
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%3.8%Gemma 4 26B A4B
WeirdML35.2%19.0%Gemma 4 26B A4B
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461306Gemma 4 26B A4B
LMArena Text: software and IT14541305Gemma 4 26B A4B
LMArena WebDev: React1351Not measuredOnly Gemma 4 26B A4B measured
LMArena WebDev: HTML1362Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-4.1 NanoLeader
AA Intelligence Index16.77.8Gemma 4 26B A4B
Epoch Capabilities Index141.9129.5Gemma 4 26B A4B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-4.1 NanoLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%17.3%Gemma 4 26B A4B
Berkeley Function Calling Leaderboard (BFCL)Not measured33.1%Only GPT-4.1 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-4.1 NanoLeader
GPQA DiamondNot measured50.8%Only GPT-4.1 Nano measured
MMMU Pro (Vals AI)Not measured55.0%Only GPT-4.1 Nano measured
GPQA Diamond (Artificial Analysis run)79.2%51.2%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%3.8%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%48.9%Gemma 4 26B A4B
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 prompts14381286Gemma 4 26B A4B
LMArena Text: expert14471271Gemma 4 26B A4B
LMArena Text: hard prompts in English14481293Gemma 4 26B A4B
LMArena Vision: diagrams1264Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: homework1293Not measuredOnly Gemma 4 26B A4B measured
Kagi LLM BenchmarkNot measured33.3%Only GPT-4.1 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-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 AIME82.2%28.9%Gemma 4 26B A4B
MATH level 5Not measured70.0%Only GPT-4.1 Nano measured
LMArena Text: math14701274Gemma 4 26B A4B
LMArena Text: mathematical work14751274Gemma 4 26B A4B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-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
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)Not measured52.8%Only GPT-4.1 Nano measured
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 VerifiedNot measured6.0%Only GPT-4.1 Nano measured
LMArena Text: science14461297Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281276Gemma 4 26B A4B
LMArena Text: legal and government14571300Gemma 4 26B A4B
LMArena Text: business and finance14291267Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-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
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-4.1 NanoLeader
IFBench72.4%32.0%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%20.3%Gemma 4 26B A4B
DTBench74.9%52.5%Gemma 4 26B A4B
LMCA29.7%5.5%Gemma 4 26B A4B
Fiction.LiveBenchNot measured25.0%Only GPT-4.1 Nano measured
LMArena Text14341285Gemma 4 26B A4B
LMArena Text: instruction following14201266Gemma 4 26B A4B
LMArena Text: creative writing14001260Gemma 4 26B A4B
LMArena Vision12601063Gemma 4 26B A4B
LMArena Text: English14441303Gemma 4 26B A4B
LMArena Text: non-English14211260Gemma 4 26B A4B
LMArena Text: Chinese14951270Gemma 4 26B A4B
LMArena Text: GermanNot measured1288Only GPT-4.1 Nano measured
LMArena Text: JapaneseNot measured1198Only GPT-4.1 Nano measured
LMArena Text: French1460Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Spanish1415Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Russian14341261Gemma 4 26B A4B
LMArena Text: multi-turn14411277Gemma 4 26B A4B
LMArena Text: longer queries14271283Gemma 4 26B A4B
LMArena Text: writing and language14051261Gemma 4 26B A4B
LMArena Text: entertainment and media14031243Gemma 4 26B A4B
LMArena Vision: English12561101Gemma 4 26B A4B
LMArena Vision: Chinese1312Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: reading text1268Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: humor1272Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things1191Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: creative writing1256Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 4 26B A4B and GPT-4.1 Nano
BenchmarkGemma 4 26B A4BGPT-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 26B A4B$0.0004Fits 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 26B A4B$0.0093Fits 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 26B A4B$0.036Fits 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 26B A4B and GPT-4.1 Nano
SpecificationGoogle Gemma 4 26B A4BOpenAI GPT-4.1 Nano
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026April 14, 2025
Context window262K1.05M
Input $/Mtok$0.15$0.10
Output $/Mtok$0.60$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than GPT-4.1 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, Gemma 4 26B A4B or GPT-4.1 Nano?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 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 26B A4B or GPT-4.1 Nano?

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

How many benchmarks is the Gemma 4 26B A4B vs GPT-4.1 Nano comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark 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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