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Gemma 4 26B A4B vs GPT-5 Nano

Gemma 4 26B A4B leads GPT-5 Nano on the Artificial Analysis Intelligence Index, 16.7 to 13.0, and GPT-5 Nano costs 1.5x less per output token ($0.40 vs $0.60 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace GPT-5 Nano
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
42
GPT-5 NanoOpenAI
Coding
No data
Overall
35.6
Output $/M
$0.40
1
vs boards won of 43 shared

Gemma 4 26B A4B or GPT-5 Nano: which to pick

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

Pick Gemma 4 26B A4B for work measured by WeirdML, where it leads.

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5 NanoOpenAINot benchmarkedNo coding benchmark$0.109 per solved task
Shared results
43
Gemma 4 26B A4B only
12
GPT-5 Nano only
44
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-5 Nano not benchmarked.
Widest category
Knowledge, 20.8 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Vision: humor: Gemma 4 26B A4B 1272 against GPT-5 Nano 1110, 27.0 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against GPT-5 Nano $0.40 per million output tokens, 1.5x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, GPT-5 Nano 400K.

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-5 NanoTies
Coding31
Intelligence20
Agentic work10
Reasoning80
Math30
Knowledge40
General210
All shared boards421
CodingLike-for-likeSix of these boards feed the Vibe Coding Index31
Coding benchmarks for Gemma 4 26B A4B and GPT-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
SWE-bench VerifiedNot measured34.8%Only GPT-5 Nano measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.3Not measuredOnly Gemma 4 26B A4B measured
LiveCodeBench (Vals AI)Not measured70.2%Only GPT-5 Nano measured
LiveCodeBench (Artificial Analysis run)Not measured78.9%Only GPT-5 Nano measured
SciCode40.0%Not measuredOnly Gemma 4 26B A4B measured
Terminal-Bench Hard (Artificial Analysis run)25.0%17.4%Gemma 4 26B A4B
Terminal-BenchNot measured21.8%Only GPT-5 Nano measured
WeirdML35.2%38.1%GPT-5 Nano
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461351Gemma 4 26B A4B
LMArena Text: software and IT14541345Gemma 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 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemma 4 26B A4B and GPT-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
AA Intelligence Index16.713.0Gemma 4 26B A4B
Epoch Capabilities Index141.9139.2Gemma 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-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
AA Agentic Index2.9Not measuredOnly Gemma 4 26B A4B measured
τ²-Bench Telecom43.6%36.5%Gemma 4 26B A4B
Berkeley Function Calling Leaderboard (BFCL)Not measured51.4%Only GPT-5 Nano measured
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Gemma 4 26B A4B and GPT-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
GPQA DiamondNot measured63.4%Only GPT-5 Nano measured
MMMU Pro (Vals AI)Not measured70.9%Only GPT-5 Nano measured
GPQA Diamond (Artificial Analysis run)79.2%67.6%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%9.5%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%69.4%Gemma 4 26B A4B
ARC-AGINot measured20.7%Only GPT-5 Nano measured
ARC-AGI-2Not measured2.6%Only GPT-5 Nano measured
Chess puzzlesNot measured22.0%Only GPT-5 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5 Nano measured
VPCTNot measured37.2%Only GPT-5 Nano measured
LMArena Text: hard prompts14381328Gemma 4 26B A4B
LMArena Text: expert14471321Gemma 4 26B A4B
LMArena Text: hard prompts in English14481338Gemma 4 26B A4B
LMArena Vision: diagrams12641141Gemma 4 26B A4B
LMArena Vision: homework12931157Gemma 4 26B A4B
Kagi LLM BenchmarkNot measured62.2%Only GPT-5 Nano measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 26B A4B and GPT-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
AIMENot measured81.2%Only GPT-5 Nano measured
MATH 500 (Vals AI)Not measured93.8%Only GPT-5 Nano measured
MGSM (Vals AI)Not measured89.3%Only GPT-5 Nano measured
AA Math IndexNot measured83.7Only GPT-5 Nano measured
AIME 2025 (Artificial Analysis run)Not measured83.7%Only GPT-5 Nano measured
OTIS Mock AIME82.2%81.1%Gemma 4 26B A4B
FrontierMath, tiers 1 to 3Not measured20.0%Only GPT-5 Nano measured
FrontierMath, tier 4Not measured2.4%Only GPT-5 Nano measured
ProofBenchNot measured12.0%Only GPT-5 Nano measured
MATH level 5Not measured95.2%Only GPT-5 Nano measured
LMArena Text: math14701317Gemma 4 26B A4B
LMArena Text: mathematical work14751326Gemma 4 26B A4B
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and GPT-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
MMLU ProNot measured76.1%Only GPT-5 Nano measured
LegalBench (Vals AI)Not measured50.1%Only GPT-5 Nano measured
CaseLaw (Vals AI)Not measured52.6%Only GPT-5 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5 Nano measured
MortgageTax (Vals AI)Not measured53.6%Only GPT-5 Nano measured
MedQA (Vals AI)Not measured93.3%Only GPT-5 Nano measured
MedCode (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MMLU Pro (Artificial Analysis run)Not measured78.0%Only GPT-5 Nano measured
SimpleQA VerifiedNot measured11.7%Only GPT-5 Nano measured
LMArena Text: science14461318Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281335Gemma 4 26B A4B
LMArena Text: legal and government14571298Gemma 4 26B A4B
LMArena Text: business and finance14291311Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 4 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-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
Design Arena: websitesNot measured1101Only GPT-5 Nano measured
Design Arena: UI componentsNot measured1064Only GPT-5 Nano measured
Design Arena: game devNot measured1044Only GPT-5 Nano measured
Design Arena: data vizNot measured1056Only GPT-5 Nano measured
Design Arena: 3DNot measured965Only GPT-5 Nano measured
Design Arena: all code categoriesNot measured1084Only GPT-5 Nano measured
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index210
General benchmarks for Gemma 4 26B A4B and GPT-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 NanoLeader
SAGE (Vals AI)Not measured30.4%Only GPT-5 Nano measured
MedScribe (Vals AI)Not measured72.9%Only GPT-5 Nano measured
IFBench72.4%67.6%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%45.0%Gemma 4 26B A4B
DTBench74.9%62.7%Gemma 4 26B A4B
LMCA29.7%7.9%Gemma 4 26B A4B
Fiction.LiveBenchNot measured44.4%Only GPT-5 Nano measured
LMArena Text14341320Gemma 4 26B A4B
LMArena Text: instruction following14201306Gemma 4 26B A4B
LMArena Text: creative writing14001249Gemma 4 26B A4B
LMArena Vision12601159Gemma 4 26B A4B
LMArena Text: English14441321Gemma 4 26B A4B
LMArena Text: non-English14211313Gemma 4 26B A4B
LMArena Text: Chinese14951356Gemma 4 26B A4B
LMArena Text: GermanNot measured1327Only GPT-5 Nano measured
LMArena Text: JapaneseNot measured1227Only GPT-5 Nano measured
LMArena Text: KoreanNot measured1269Only GPT-5 Nano measured
LMArena Text: French1460Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: Spanish14151360Gemma 4 26B A4B
LMArena Text: Russian14341296Gemma 4 26B A4B
LMArena Text: PolishNot measured1314Only GPT-5 Nano measured
LMArena Text: multi-turn14411311Gemma 4 26B A4B
LMArena Text: longer queries14271312Gemma 4 26B A4B
LMArena Text: writing and language14051283Gemma 4 26B A4B
LMArena Text: entertainment and media14031268Gemma 4 26B A4B
LMArena Vision: English12561170Gemma 4 26B A4B
LMArena Vision: Chinese13121176Gemma 4 26B A4B
LMArena Vision: reading text12681152Gemma 4 26B A4B
LMArena Vision: humor12721110Gemma 4 26B A4B
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 14 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-5 Nano
BenchmarkGemma 4 26B A4BGPT-5 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-5 Nano$0.0003Fits in one request

GPT-5 Nano costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0093Fits in one request
GPT-5 Nano$0.0037Fits in one request

GPT-5 Nano costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.036Fits in one request
GPT-5 Nano$0.014Fits in one request

GPT-5 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-5 Nano
SpecificationGoogle Gemma 4 26B A4BOpenAI GPT-5 Nano
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026August 7, 2025
Context window262K400K
Input $/Mtok$0.15$0.05
Output $/Mtok$0.60$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computable$0.109
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than GPT-5 Nano for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for work measured by WeirdML, where it leads.

Which is cheaper, Gemma 4 26B A4B or GPT-5 Nano?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-5 Nano costs $0.05 and $0.40. Cost per solved task is known for GPT-5 Nano only.

Which has the bigger context window, Gemma 4 26B A4B or GPT-5 Nano?

GPT-5 Nano, with 400K tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs GPT-5 Nano comparison based on?

43 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-5 Nano's on 0. Where only one model has a result, the page says so instead of naming a winner.

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