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Gemma 4 26B A4B vs GPT-5.4 Nano

GPT-5.4 Nano leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 20.7 to 16.7, and Gemma 4 26B A4B costs 2.1x less per output token ($0.60 vs $1.25 per million). Updated October 22, 2026; 50 benchmarks have a result for both.

Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
33
GPT-5.4 NanoOpenAI
Coding
44.8
Overall
45.7
Output $/M
$1.25
17
vs boards won of 50 shared

Gemma 4 26B A4B or GPT-5.4 Nano: which to pick

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.

Pick Gemma 4 26B A4B for output tokens 2.1x cheaper ($0.60 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Shared results
50
Gemma 4 26B A4B only
5
GPT-5.4 Nano only
35
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-5.4 Nano 44.8 from 2 benchmarks.
Widest category
Agentic work, 22.8 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against GPT-5.4 Nano 76.0%, 32.5 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against GPT-5.4 Nano $1.25 per million output tokens, 2.1x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, GPT-5.4 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-5.4 NanoTies
Coding25
Intelligence02
Agentic work02
Reasoning53
Math21
Knowledge40
General204
All shared boards3317
CodingLike-for-likeSix of these boards feed the Vibe Coding Index25
Coding benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.356.1GPT-5.4 Nano
LiveCodeBench (Vals AI)Not measured84.0%Only GPT-5.4 Nano measured
SWE-bench Verified (Vals AI)Not measured69.8%Only GPT-5.4 Nano measured
Vibe Code Bench (Vals AI)Not measured26.1%Only GPT-5.4 Nano measured
Code migration (Vals AI)Not measured14.5%Only GPT-5.4 Nano measured
Terminal-Bench 2.1 (Vals AI)Not measured41.6%Only GPT-5.4 Nano measured
SciCode40.0%47.2%GPT-5.4 Nano
Terminal-Bench Hard (Artificial Analysis run)25.0%42.4%GPT-5.4 Nano
WeirdML35.2%49.2%GPT-5.4 Nano
ALE-Bench927.21004.5GPT-5.4 Nano
LMArena Text: coding14461404Gemma 4 26B A4B
LMArena Text: software and IT14541402Gemma 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 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
AA Intelligence Index16.720.7GPT-5.4 Nano
Epoch Capabilities Index141.9146.0GPT-5.4 Nano
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
AA Agentic Index2.916.0GPT-5.4 Nano
Finance Agent (Vals AI)Not measured38.2%Only GPT-5.4 Nano measured
Tax Agent Bench (Vals AI)Not measured5.0%Only GPT-5.4 Nano measured
Legal Research Bench (Vals AI)Not measured6.3%Only GPT-5.4 Nano measured
Excel Modeling Benchmark (Vals AI)Not measured44.8%Only GPT-5.4 Nano measured
τ²-Bench Telecom43.6%76.0%GPT-5.4 Nano
Neither model has a result on the other 36 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index53
Reasoning benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
GPQA DiamondNot measured77.5%Only GPT-5.4 Nano measured
MMMU Pro (Vals AI)Not measured73.6%Only GPT-5.4 Nano measured
GPQA Diamond (Artificial Analysis run)79.2%81.7%GPT-5.4 Nano
Humanity's Last Exam (Artificial Analysis run)19.3%28.3%GPT-5.4 Nano
GPQA Diamond (Epoch AI run)73.2%78.5%GPT-5.4 Nano
ARC-AGINot measured51.5%Only GPT-5.4 Nano measured
ARC-AGI-2Not measured5.7%Only GPT-5.4 Nano measured
Chess puzzlesNot measured45.0%Only GPT-5.4 Nano measured
Mystery game puzzlesNot measured9.0%Only GPT-5.4 Nano measured
LMArena Text: hard prompts14381381Gemma 4 26B A4B
LMArena Text: expert14471396Gemma 4 26B A4B
LMArena Text: hard prompts in English14481387Gemma 4 26B A4B
LMArena Vision: diagrams12641210Gemma 4 26B A4B
LMArena Vision: homework12931225Gemma 4 26B A4B
Kagi LLM BenchmarkNot measured39.7%Only GPT-5.4 Nano measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index21
Math benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
AIMENot measured88.8%Only GPT-5.4 Nano measured
OTIS Mock AIME82.2%87.8%GPT-5.4 Nano
FrontierMath, tiers 1 to 3Not measured44.9%Only GPT-5.4 Nano measured
FrontierMath, tier 4Not measured12.2%Only GPT-5.4 Nano measured
ProofBenchNot measured5.0%Only GPT-5.4 Nano measured
LMArena Text: math14701405Gemma 4 26B A4B
LMArena Text: mathematical work14751409Gemma 4 26B A4B
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
MMLU ProNot measured77.2%Only GPT-5.4 Nano measured
LegalBench (Vals AI)Not measured77.9%Only GPT-5.4 Nano measured
CaseLaw (Vals AI)Not measured51.9%Only GPT-5.4 Nano measured
CorpFin (Vals AI)Not measured61.2%Only GPT-5.4 Nano measured
TaxEval (Vals AI)Not measured67.4%Only GPT-5.4 Nano measured
MortgageTax (Vals AI)Not measured59.1%Only GPT-5.4 Nano measured
MedCode (Vals AI)Not measured41.0%Only GPT-5.4 Nano measured
SimpleQA VerifiedNot measured11.7%Only GPT-5.4 Nano measured
LMArena Text: science14461374Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281369Gemma 4 26B A4B
LMArena Text: legal and government14571368Gemma 4 26B A4B
LMArena Text: business and finance14291366Gemma 4 26B A4B
FACTS Benchmark Suite42.7%Not measuredOnly Gemma 4 26B A4B measured
Neither model has a result on the other 7 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index204
General benchmarks for Gemma 4 26B A4B and GPT-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 NanoLeader
SAGE (Vals AI)Not measured38.1%Only GPT-5.4 Nano measured
MedScribe (Vals AI)Not measured77.1%Only GPT-5.4 Nano measured
Vals Multimodal IndexNot measured47.6%Only GPT-5.4 Nano measured
IFBench72.4%75.9%GPT-5.4 Nano
Long context reasoning (AA-LCR)65.7%76.7%GPT-5.4 Nano
DTBench74.9%80.3%GPT-5.4 Nano
LMCA29.7%36.9%GPT-5.4 Nano
LMArena Text14341372Gemma 4 26B A4B
LMArena Text: instruction following14201362Gemma 4 26B A4B
LMArena Text: creative writing14001315Gemma 4 26B A4B
LMArena Vision12601196Gemma 4 26B A4B
LMArena Text: English14441381Gemma 4 26B A4B
LMArena Text: non-English14211359Gemma 4 26B A4B
LMArena Text: Chinese14951391Gemma 4 26B A4B
LMArena Text: GermanNot measured1368Only GPT-5.4 Nano measured
LMArena Text: JapaneseNot measured1343Only GPT-5.4 Nano measured
LMArena Text: KoreanNot measured1321Only GPT-5.4 Nano measured
LMArena Text: French14601395Gemma 4 26B A4B
LMArena Text: Spanish14151371Gemma 4 26B A4B
LMArena Text: Russian14341363Gemma 4 26B A4B
LMArena Text: PolishNot measured1366Only GPT-5.4 Nano measured
LMArena Text: multi-turn14411382Gemma 4 26B A4B
LMArena Text: longer queries14271365Gemma 4 26B A4B
LMArena Text: writing and language14051338Gemma 4 26B A4B
LMArena Text: entertainment and media14031325Gemma 4 26B A4B
LMArena Vision: English12561202Gemma 4 26B A4B
LMArena Vision: Chinese13121232Gemma 4 26B A4B
LMArena Vision: reading text12681204Gemma 4 26B A4B
LMArena Vision: humor12721161Gemma 4 26B A4B
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things11911141Gemma 4 26B A4B
LMArena Vision: creative writing12561159Gemma 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-5.4 Nano
BenchmarkGemma 4 26B A4BGPT-5.4 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-5.4 Nano$0.0008Fits 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-5.4 Nano$0.014Fits 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-5.4 Nano$0.052Fits 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-5.4 Nano
SpecificationGoogle Gemma 4 26B A4BOpenAI GPT-5.4 Nano
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026March 17, 2026
Context window262K400K
Input $/Mtok$0.15$0.20
Output $/Mtok$0.60$1.25
Coding indexNot benchmarked44.8
Independent measurements behind it12
Cost per solved taskNot computable$0.14
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than GPT-5.4 Nano for coding?

Only GPT-5.4 Nano has a coding score, 44.8 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 2.1x cheaper ($0.60 vs $1.25 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Which is cheaper, Gemma 4 26B A4B or GPT-5.4 Nano?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.4 Nano costs $0.20 and $1.25. Cost per solved task is known for GPT-5.4 Nano only.

Which has the bigger context window, Gemma 4 26B A4B or GPT-5.4 Nano?

GPT-5.4 Nano, with 400K tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs GPT-5.4 Nano comparison based on?

50 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-5.4 Nano's on 2. Where only one model has a result, the page says so instead of naming a winner.

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