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Gemma 4 26B A4B vs GPT-4.1

Gemma 4 26B A4B leads GPT-4.1 on the Artificial Analysis Intelligence Index, 16.7 to 12.7, and Gemma 4 26B A4B costs 13.3x less per output token ($0.60 vs $8.00 per million). Updated October 22, 2026; 49 benchmarks have a result for both.

Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
44
GPT-4.1OpenAI
Coding
No data
Overall
36.5
Output $/M
$8.00
5
vs boards won of 49 shared

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

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

Pick Gemma 4 26B A4B for output tokens 13.3x cheaper ($0.60 vs $8.00 per million) and work measured by WeirdML or τ²-Bench Telecom, where it leads.

Shared results
49
Gemma 4 26B A4B only
6
GPT-4.1 only
43
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 not benchmarked.
Widest category
Math, 26.6 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 4 26B A4B 82.2% against GPT-4.1 38.3%, 43.9 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against GPT-4.1 $8.00 per million output tokens, 13.3x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, GPT-4.1 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-4.1Ties
Coding41
Intelligence20
Agentic work01
Reasoning80
Math30
Knowledge41
General232
All shared boards445
CodingLike-for-likeSix of these boards feed the Vibe Coding Index41
Coding benchmarks for Gemma 4 26B A4B and GPT-4.1
BenchmarkGemma 4 26B A4BGPT-4.1Leader
Aider polyglotNot measured52.4%Only GPT-4.1 measured
SWE-bench VerifiedNot measured39.6%Only GPT-4.1 measured
SWE-bench MultimodalNot measured31.1%Only GPT-4.1 measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.3Not measuredOnly Gemma 4 26B A4B measured
LiveCodeBench (Vals AI)Not measured54.7%Only GPT-4.1 measured
LiveCodeBench (Artificial Analysis run)Not measured45.7%Only GPT-4.1 measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%13.6%Gemma 4 26B A4B
WeirdML35.2%39.0%GPT-4.1
ALE-Bench927.2558.1Gemma 4 26B A4B
LMArena Text: coding14461390Gemma 4 26B A4B
LMArena Text: software and IT14541391Gemma 4 26B A4B
LMArena WebDev: React1351Not measuredOnly Gemma 4 26B A4B measured
LMArena WebDev: HTML1362Not measuredOnly Gemma 4 26B A4B measured
SciCodeNot measured4.6%Only GPT-4.1 measured
Neither model has a result on the other 23 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
BenchmarkGemma 4 26B A4BGPT-4.1Leader
AA Intelligence Index16.712.7Gemma 4 26B A4B
Epoch Capabilities Index141.9136.7Gemma 4 26B A4B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Gemma 4 26B A4B and GPT-4.1
BenchmarkGemma 4 26B A4BGPT-4.1Leader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%47.1%GPT-4.1
Berkeley Function Calling Leaderboard (BFCL)Not measured54.0%Only GPT-4.1 measured
BrowseComp-PlusNot measured36.4%Only GPT-4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemma 4 26B A4B and GPT-4.1
BenchmarkGemma 4 26B A4BGPT-4.1Leader
GPQA DiamondNot measured65.4%Only GPT-4.1 measured
MMMU Pro (Vals AI)Not measured72.4%Only GPT-4.1 measured
GPQA Diamond (Artificial Analysis run)79.2%66.6%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%4.2%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%66.9%Gemma 4 26B A4B
ARC-AGINot measured5.5%Only GPT-4.1 measured
ARC-AGI-2Not measured0.4%Only GPT-4.1 measured
SimpleBenchNot measured27.0%Only GPT-4.1 measured
Chess puzzlesNot measured3.0%Only GPT-4.1 measured
LMArena Text: hard prompts14381384Gemma 4 26B A4B
LMArena Text: expert14471364Gemma 4 26B A4B
LMArena Text: hard prompts in English14481393Gemma 4 26B A4B
LMArena Vision: diagrams12641215Gemma 4 26B A4B
LMArena Vision: homework12931248Gemma 4 26B A4B
Kagi LLM BenchmarkNot measured52.3%Only GPT-4.1 measured
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 26B A4B and GPT-4.1
BenchmarkGemma 4 26B A4BGPT-4.1Leader
AIMENot measured39.6%Only GPT-4.1 measured
MATH 500 (Vals AI)Not measured87.2%Only GPT-4.1 measured
MGSM (Vals AI)Not measured87.7%Only GPT-4.1 measured
AA Math IndexNot measured34.7Only GPT-4.1 measured
AIME 2025 (Artificial Analysis run)Not measured34.7%Only GPT-4.1 measured
OTIS Mock AIME82.2%38.3%Gemma 4 26B A4B
FrontierMath, tiers 1 to 3Not measured6.0%Only GPT-4.1 measured
MATH level 5Not measured83.0%Only GPT-4.1 measured
LMArena Text: math14701369Gemma 4 26B A4B
LMArena Text: mathematical work14751360Gemma 4 26B A4B
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 4 26B A4B and GPT-4.1
BenchmarkGemma 4 26B A4BGPT-4.1Leader
MMLU ProNot measured80.5%Only GPT-4.1 measured
LegalBench (Vals AI)Not measured83.1%Only GPT-4.1 measured
CaseLaw (Vals AI)Not measured69.9%Only GPT-4.1 measured
CorpFin (Vals AI)Not measured63.0%Only GPT-4.1 measured
TaxEval (Vals AI)Not measured75.1%Only GPT-4.1 measured
MortgageTax (Vals AI)Not measured65.9%Only GPT-4.1 measured
MedQA (Vals AI)Not measured91.2%Only GPT-4.1 measured
MMLU Pro (Artificial Analysis run)Not measured80.6%Only GPT-4.1 measured
SimpleQA VerifiedNot measured31.1%Only GPT-4.1 measured
GeoBenchNot measured72.0%Only GPT-4.1 measured
LMArena Text: science14461382Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281379Gemma 4 26B A4B
LMArena Text: legal and government14571399Gemma 4 26B A4B
LMArena Text: business and finance14291369Gemma 4 26B A4B
FACTS Benchmark Suite42.7%45.8%GPT-4.1
Neither model has a result on the other 3 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
BenchmarkGemma 4 26B A4BGPT-4.1Leader
Design Arena: websitesNot measured1038Only GPT-4.1 measured
Design Arena: UI componentsNot measured997Only GPT-4.1 measured
Design Arena: game devNot measured1079Only GPT-4.1 measured
Design Arena: data vizNot measured1104Only GPT-4.1 measured
Design Arena: 3DNot measured849Only GPT-4.1 measured
Design Arena: all code categoriesNot measured1025Only GPT-4.1 measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index232
General benchmarks for Gemma 4 26B A4B and GPT-4.1
BenchmarkGemma 4 26B A4BGPT-4.1Leader
IFBench72.4%43.0%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%68.3%GPT-4.1
DTBench74.9%68.3%Gemma 4 26B A4B
LMCA29.7%25.6%Gemma 4 26B A4B
Fiction.LiveBenchNot measured63.9%Only GPT-4.1 measured
LMArena Text14341383Gemma 4 26B A4B
LMArena Text: instruction following14201367Gemma 4 26B A4B
LMArena Text: creative writing14001363Gemma 4 26B A4B
LMArena Vision12601210Gemma 4 26B A4B
LMArena Text: English14441392Gemma 4 26B A4B
LMArena Text: non-English14211370Gemma 4 26B A4B
LMArena Text: Chinese14951382Gemma 4 26B A4B
LMArena Text: GermanNot measured1381Only GPT-4.1 measured
LMArena Text: JapaneseNot measured1319Only GPT-4.1 measured
LMArena Text: KoreanNot measured1338Only GPT-4.1 measured
LMArena Text: French14601382Gemma 4 26B A4B
LMArena Text: Spanish14151376Gemma 4 26B A4B
LMArena Text: Russian14341377Gemma 4 26B A4B
LMArena Text: PolishNot measured1389Only GPT-4.1 measured
LMArena Text: multi-turn14411397Gemma 4 26B A4B
LMArena Text: longer queries14271385Gemma 4 26B A4B
LMArena Text: writing and language14051371Gemma 4 26B A4B
LMArena Text: entertainment and media14031365Gemma 4 26B A4B
LMArena Vision: English12561209Gemma 4 26B A4B
LMArena Vision: Chinese13121226Gemma 4 26B A4B
LMArena Vision: reading text12681218Gemma 4 26B A4B
LMArena Vision: humor12721196Gemma 4 26B A4B
LMArena Vision: captioning12971207Gemma 4 26B A4B
LMArena Vision: recognizing things11911208GPT-4.1
LMArena Vision: creative writing12561210Gemma 4 26B A4B
Neither model has a result on the other 16 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
BenchmarkGemma 4 26B A4BGPT-4.1Leader
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$0.0060Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
GPT-4.1$0.124Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
GPT-4.1$0.480Fits in one request

Gemma 4 26B A4B 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
SpecificationGoogle Gemma 4 26B A4BOpenAI GPT-4.1
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026April 14, 2025
Context window262K1.05M
Input $/Mtok$0.15$2.00
Output $/Mtok$0.60$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$0.37
SourceOpenRouter listingOpenRouter listing

Questions

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

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 13.3x cheaper ($0.60 vs $8.00 per million) and work measured by WeirdML or τ²-Bench Telecom, where it leads.

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

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-4.1 costs $2.00 and $8.00. Cost per solved task is known for GPT-4.1 only.

Which has the bigger context window, Gemma 4 26B A4B or GPT-4.1?

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

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

49 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's on 0. Where only one model has a result, the page says so instead of naming a winner.

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