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Gemma 4 26B A4B vs GPT-5.5

GPT-5.5 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 38.4 to 16.7, and Gemma 4 26B A4B costs 50.0x less per output token ($0.60 vs $30.00 per million). Updated October 22, 2026; 54 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace GPT-5.5
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
0
GPT-5.5OpenAI
Coding
71.3
Overall
69.2
Output $/M
$30.00
54
vs boards won of 54 shared

Gemma 4 26B A4B or GPT-5.5: which to pick

Only GPT-5.5 has a coding score, 71.3 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 50.0x cheaper ($0.60 vs $30.00 per million).

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5.5OpenAI71.3/1005 independent benchmarks$1.65 per solved task
Shared results
54
Gemma 4 26B A4B only
1
GPT-5.5 only
86
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-5.5 71.3 from 5 benchmarks.
Widest category
Agentic work, 41.9 points apart on average over 2 shared benchmarks.
Widest single gap
τ²-Bench Telecom: Gemma 4 26B A4B 43.6% against GPT-5.5 93.9%, 50.3 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against GPT-5.5 $30.00 per million output tokens, 50.0x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, GPT-5.5 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-5.5Ties
Coding010
Intelligence02
Agentic work02
Reasoning08
Math03
Knowledge05
General024
All shared boards054
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
LiveBench codingNot measured85.1%Only GPT-5.5 measured
LMArena WebDev13601513GPT-5.5
AA Coding Index39.374.9GPT-5.5
LiveCodeBench (Vals AI)Not measured85.3%Only GPT-5.5 measured
SWE-bench Verified (Vals AI)Not measured82.6%Only GPT-5.5 measured
Vibe Code Bench (Vals AI)Not measured69.8%Only GPT-5.5 measured
Code migration (Vals AI)Not measured45.2%Only GPT-5.5 measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured76.4%Only GPT-5.5 measured
SkillsBench (Vals AI)Not measured62.5%Only GPT-5.5 measured
SciCode40.0%56.1%GPT-5.5
Terminal-Bench Hard (Artificial Analysis run)25.0%60.6%GPT-5.5
Terminal-BenchNot measured84.7%Only GPT-5.5 measured
FrontierCodeNot measured43.0%Only GPT-5.5 measured
GSO-BenchNot measured40.2%Only GPT-5.5 measured
WeirdML35.2%84.9%GPT-5.5
MirrorCodeNot measured10.0%Only GPT-5.5 measured
ALE-Bench927.21943.0GPT-5.5
LMArena Text: coding14461494GPT-5.5
LMArena Text: software and IT14541493GPT-5.5
LMArena WebDev: React13511506GPT-5.5
LMArena WebDev: HTML13621543GPT-5.5
LMArena WebDev: from an imageNot measured1532Only GPT-5.5 measured
SWE Atlas: Codebase QnANot measured45.4%Only GPT-5.5 measured
SWE Atlas: RefactoringNot measured44.8%Only GPT-5.5 measured
SWE Atlas: Test WritingNot measured42.6%Only GPT-5.5 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
AA Intelligence Index16.738.4GPT-5.5
Epoch Capabilities Index141.9159.7GPT-5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
AA Agentic Index2.936.4GPT-5.5
Design Arena: agents building web appsNot measured1117Only GPT-5.5 measured
Design Arena: agents building full-stack appsNot measured1089Only GPT-5.5 measured
Design Arena: agents building mobile appsNot measured1142Only GPT-5.5 measured
Design Arena: agents building Android appsNot measured1163Only GPT-5.5 measured
Design Arena: agents building Godot gamesNot measured1173Only GPT-5.5 measured
Design Arena: agents building gamesNot measured1178Only GPT-5.5 measured
Design Arena: HTML slidesNot measured1006Only GPT-5.5 measured
Design Arena: PowerPoint slidesNot measured1083Only GPT-5.5 measured
LiveBench researchNot measured61.6%Only GPT-5.5 measured
LiveBench browserNot measured48.0%Only GPT-5.5 measured
LiveBench long agenticNot measured44.6%Only GPT-5.5 measured
SREBench (Vals AI)Not measured3.8%Only GPT-5.5 measured
Finance Agent (Vals AI)Not measured51.8%Only GPT-5.5 measured
Tax Agent Bench (Vals AI)Not measured21.8%Only GPT-5.5 measured
Legal Research Bench (Vals AI)Not measured40.4%Only GPT-5.5 measured
Excel Modeling Benchmark (Vals AI)Not measured64.5%Only GPT-5.5 measured
Time Horizon Index (Vals AI)Not measured8.3%Only GPT-5.5 measured
τ²-Bench Telecom43.6%93.9%GPT-5.5
APEX-AgentsNot measured55.1%Only GPT-5.5 measured
Remote Labor IndexNot measured6.3%Only GPT-5.5 measured
OSWorld 2.0Not measured13.0%Only GPT-5.5 measured
DeepResearch BenchNot measured54.0%Only GPT-5.5 measured
PostTrainBenchNot measured27.2%Only GPT-5.5 measured
Vending-Bench 2Not measured$7,524Only GPT-5.5 measured
MCP AtlasNot measured75.3%Only GPT-5.5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
GPQA DiamondNot measured93.2%Only GPT-5.5 measured
LiveBench reasoningNot measured89.7%Only GPT-5.5 measured
MMMU Pro (Vals AI)Not measured88.3%Only GPT-5.5 measured
GPQA Diamond (Artificial Analysis run)79.2%93.5%GPT-5.5
Humanity's Last Exam (Artificial Analysis run)19.3%45.8%GPT-5.5
GPQA Diamond (Epoch AI run)73.2%90.7%GPT-5.5
ARC-AGINot measured95.0%Only GPT-5.5 measured
ARC-AGI-2Not measured85.0%Only GPT-5.5 measured
SimpleBenchNot measured69.0%Only GPT-5.5 measured
Chess puzzlesNot measured63.0%Only GPT-5.5 measured
Mystery game puzzlesNot measured56.0%Only GPT-5.5 measured
EBR-benchNot measured34.3%Only GPT-5.5 measured
LMArena Text: hard prompts14381489GPT-5.5
LMArena Text: expert14471507GPT-5.5
LMArena Text: hard prompts in English14481483GPT-5.5
LMArena Vision: diagrams12641325GPT-5.5
LMArena Vision: homework12931332GPT-5.5
Kagi LLM BenchmarkNot measured88.8%Only GPT-5.5 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
OTIS Mock AIME82.2%84.4%GPT-5.5
FrontierMath, tiers 1 to 3Not measured85.3%Only GPT-5.5 measured
FrontierMath, tier 4Not measured72.5%Only GPT-5.5 measured
ProofBenchNot measured50.0%Only GPT-5.5 measured
LMArena Text: math14701487GPT-5.5
LMArena Text: mathematical work14751496GPT-5.5
MathArenaNot measured61.3%Only GPT-5.5 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
Knowledge benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
MMLU ProNot measured88.1%Only GPT-5.5 measured
LegalBench (Vals AI)Not measured86.5%Only GPT-5.5 measured
CaseLaw (Vals AI)Not measured66.2%Only GPT-5.5 measured
CorpFin (Vals AI)Not measured68.4%Only GPT-5.5 measured
TaxEval (Vals AI)Not measured75.0%Only GPT-5.5 measured
MortgageTax (Vals AI)Not measured68.8%Only GPT-5.5 measured
MedCode (Vals AI)Not measured49.1%Only GPT-5.5 measured
SimpleQA VerifiedNot measured63.0%Only GPT-5.5 measured
LMArena Text: science14461485GPT-5.5
LMArena Text: medicine and healthcare14281465GPT-5.5
LMArena Text: legal and government14571491GPT-5.5
LMArena Text: business and finance14291478GPT-5.5
FACTS Benchmark Suite42.7%66.7%GPT-5.5
Neither model has a result on the other 7 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
Design Arena: websitesNot measured1256Only GPT-5.5 measured
Design Arena: UI componentsNot measured1257Only GPT-5.5 measured
Design Arena: game devNot measured1293Only GPT-5.5 measured
Design Arena: data vizNot measured1264Only GPT-5.5 measured
Design Arena: 3DNot measured1197Only GPT-5.5 measured
Design Arena: all code categoriesNot measured1259Only GPT-5.5 measured
Design Arena: SVGNot measured1233Only GPT-5.5 measured
Design Arena: ASCII artNot measured1255Only GPT-5.5 measured
LiveBench designNot measured70.3%Only GPT-5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index024
General benchmarks for Gemma 4 26B A4B and GPT-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
LiveBench data analysisNot measured81.6%Only GPT-5.5 measured
Public Benefits Bench (Vals AI)Not measured60.9%Only GPT-5.5 measured
SAGE (Vals AI)Not measured51.5%Only GPT-5.5 measured
MedScribe (Vals AI)Not measured86.9%Only GPT-5.5 measured
Vals Multimodal IndexNot measured68.1%Only GPT-5.5 measured
IFBench72.4%75.9%GPT-5.5
Long context reasoning (AA-LCR)65.7%84.3%GPT-5.5
DTBench74.9%96.0%GPT-5.5
LMCA29.7%54.3%GPT-5.5
Surface Evolver BenchNot measured88.1%Only GPT-5.5 measured
Furniture assemblyNot measured44.2%Only GPT-5.5 measured
ExploitBenchNot measured47.4%Only GPT-5.5 measured
CL-bench LifeNot measured22.2%Only GPT-5.5 measured
LMArena Text14341471GPT-5.5
LMArena Text: instruction following14201478GPT-5.5
LMArena Text: creative writing14001455GPT-5.5
LMArena Vision12601297GPT-5.5
LMArena Text: English14441470GPT-5.5
LMArena Text: non-English14211467GPT-5.5
LMArena Text: Chinese14951534GPT-5.5
LMArena Text: GermanNot measured1480Only GPT-5.5 measured
LMArena Text: JapaneseNot measured1499Only GPT-5.5 measured
LMArena Text: KoreanNot measured1460Only GPT-5.5 measured
LMArena Text: French14601485GPT-5.5
LMArena Text: Spanish14151468GPT-5.5
LMArena Text: Russian14341473GPT-5.5
LMArena Text: PolishNot measured1465Only GPT-5.5 measured
LMArena Text: multi-turn14411476GPT-5.5
LMArena Text: longer queries14271484GPT-5.5
LMArena Text: writing and language14051466GPT-5.5
LMArena Text: entertainment and media14031449GPT-5.5
LMArena Vision: English12561292GPT-5.5
LMArena Vision: Chinese13121360GPT-5.5
LMArena Vision: reading text12681306GPT-5.5
LMArena Vision: humor12721293GPT-5.5
LMArena Vision: captioning1297Not measuredOnly Gemma 4 26B A4B measured
LMArena Vision: recognizing things11911231GPT-5.5
LMArena Vision: creative writing12561301GPT-5.5
LMArena DocumentNot measured1486Only GPT-5.5 measured
EQ-Bench 4Not measured1315Only GPT-5.5 measured
Neither model has a result on the other 8 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-5.5
BenchmarkGemma 4 26B A4BGPT-5.5Leader
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-5.5$0.020Fits 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-5.5$0.340Fits 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-5.5$1.30Fits 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-5.5
SpecificationGoogle Gemma 4 26B A4BOpenAI GPT-5.5
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026April 24, 2026
Context window262K1.05M
Input $/Mtok$0.15$5.00
Output $/Mtok$0.60$30.00
Coding indexNot benchmarked71.3
Independent measurements behind it15
Cost per solved taskNot computable$1.65
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than GPT-5.5 for coding?

Only GPT-5.5 has a coding score, 71.3 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 50.0x cheaper ($0.60 vs $30.00 per million).

Which is cheaper, Gemma 4 26B A4B or GPT-5.5?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.5 costs $5.00 and $30.00. Cost per solved task is known for GPT-5.5 only.

Which has the bigger context window, Gemma 4 26B A4B or GPT-5.5?

GPT-5.5, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs GPT-5.5 comparison based on?

54 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-5.5's on 5. Where only one model has a result, the page says so instead of naming a winner.

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