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Gemma 4 26B A4B vs GPT-5.6 Terra

GPT-5.6 Terra leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 42.1 to 16.7, and Gemma 4 26B A4B costs 20.0x less per output token ($0.60 vs $12.00 per million). Updated October 22, 2026; 53 benchmarks have a result for both.

Replace Gemma 4 26B A4B Replace GPT-5.6 Terra
Gemma 4 26B A4BGoogle
Coding
No data
Overall
54.7
Output $/M
$0.60
4
GPT-5.6 TerraOpenAI
Coding
63.9
Overall
68.1
Output $/M
$12.00
49
vs boards won of 53 shared

Gemma 4 26B A4B or GPT-5.6 Terra: which to pick

Only GPT-5.6 Terra has a coding score, 63.9 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 20.0x cheaper ($0.60 vs $12.00 per million) and work measured by LMArena Text: math or IFBench, where it leads.

Model AGemma 4 26B A4BGoogleNot benchmarked1 independent benchmarkNo cost per solved taskModel BGPT-5.6 TerraOpenAI63.9/1006 independent benchmarks$0.42 per solved task
Shared results
53
Gemma 4 26B A4B only
2
GPT-5.6 Terra only
74
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-5.6 Terra 63.9 from 6 benchmarks.
Widest category
Agentic work, 41.5 points apart on average over 2 shared benchmarks.
Widest single gap
WeirdML: Gemma 4 26B A4B 35.2% against GPT-5.6 Terra 78.3%, 43.1 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.60 against GPT-5.6 Terra $12.00 per million output tokens, 20.0x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, GPT-5.6 Terra 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-5.6 TerraTies
Coding010
Intelligence02
Agentic work02
Reasoning08
Math12
Knowledge05
General320
All shared boards449
CodingLike-for-likeSix of these boards feed the Vibe Coding Index010
Coding benchmarks for Gemma 4 26B A4B and GPT-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
LiveBench codingNot measured86.2%Only GPT-5.6 Terra measured
LMArena WebDev13601522GPT-5.6 Terra
AA Coding Index39.376.7GPT-5.6 Terra
LiveCodeBench (Vals AI)Not measured85.9%Only GPT-5.6 Terra measured
SWE-bench Verified (Vals AI)Not measured95.4%Only GPT-5.6 Terra measured
Terminal-Bench 4 (Vals AI)Not measured22.7%Only GPT-5.6 Terra measured
Vibe Code Bench (Vals AI)Not measured74.6%Only GPT-5.6 Terra measured
Code migration (Vals AI)Not measured47.8%Only GPT-5.6 Terra measured
ProgramBench (Vals AI)Not measured0.5%Only GPT-5.6 Terra measured
IOI (Vals AI)Not measured87.6%Only GPT-5.6 Terra measured
Terminal-Bench 2.1 (Vals AI)Not measured77.5%Only GPT-5.6 Terra measured
Vibe Code Bench 1-100 (Vals AI)Not measured14.8%Only GPT-5.6 Terra measured
SkillsBench (Vals AI)Not measured58.9%Only GPT-5.6 Terra measured
CyberBench (Vals AI)Not measured72.1%Only GPT-5.6 Terra measured
SciCode40.0%55.0%GPT-5.6 Terra
Terminal-Bench Hard (Artificial Analysis run)25.0%62.9%GPT-5.6 Terra
FrontierCodeNot measured41.3%Only GPT-5.6 Terra measured
WeirdML35.2%78.3%GPT-5.6 Terra
ALE-Bench927.21951.4GPT-5.6 Terra
LMArena Text: coding14461485GPT-5.6 Terra
LMArena Text: software and IT14541482GPT-5.6 Terra
LMArena WebDev: React13511513GPT-5.6 Terra
LMArena WebDev: HTML13621526GPT-5.6 Terra
LMArena WebDev: from an imageNot measured1541Only GPT-5.6 Terra measured
SciCodeNot measured10.8%Only GPT-5.6 Terra measured
Neither model has a result on the other 14 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Gemma 4 26B A4B and GPT-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
AA Intelligence Index16.742.1GPT-5.6 Terra
Epoch Capabilities Index141.9160.1GPT-5.6 Terra
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Gemma 4 26B A4B and GPT-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
AA Agentic Index2.943.2GPT-5.6 Terra
Design Arena: agents building web appsNot measured1120Only GPT-5.6 Terra measured
Design Arena: agents building full-stack appsNot measured1061Only GPT-5.6 Terra measured
Design Arena: agents building mobile appsNot measured1111Only GPT-5.6 Terra measured
Design Arena: agents building Android appsNot measured1062Only GPT-5.6 Terra measured
Design Arena: agents building gamesNot measured1083Only GPT-5.6 Terra measured
Design Arena: HTML slidesNot measured1058Only GPT-5.6 Terra measured
Design Arena: PowerPoint slidesNot measured1105Only GPT-5.6 Terra measured
LiveBench researchNot measured60.4%Only GPT-5.6 Terra measured
LiveBench browserNot measured84.0%Only GPT-5.6 Terra measured
LiveBench long agenticNot measured48.4%Only GPT-5.6 Terra measured
SREBench (Vals AI)Not measured9.5%Only GPT-5.6 Terra measured
Finance Agent (Vals AI)Not measured54.4%Only GPT-5.6 Terra measured
Tax Agent Bench (Vals AI)Not measured30.0%Only GPT-5.6 Terra measured
Legal Research Bench (Vals AI)Not measured41.4%Only GPT-5.6 Terra measured
Excel Modeling Benchmark (Vals AI)Not measured66.2%Only GPT-5.6 Terra measured
Terminal-Bench-Science (Vals AI)Not measured10.0%Only GPT-5.6 Terra measured
τ²-Bench Telecom43.6%86.3%GPT-5.6 Terra
APEX-AgentsNot measured58.2%Only GPT-5.6 Terra measured
BALROGNot measured53.2%Only GPT-5.6 Terra measured
Vending-Bench 2Not measured$7,343Only GPT-5.6 Terra measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index08
Reasoning benchmarks for Gemma 4 26B A4B and GPT-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
GPQA DiamondNot measured90.9%Only GPT-5.6 Terra measured
LiveBench reasoningNot measured90.6%Only GPT-5.6 Terra measured
MMMU Pro (Vals AI)Not measured86.5%Only GPT-5.6 Terra measured
GPQA Diamond (Artificial Analysis run)79.2%92.5%GPT-5.6 Terra
Humanity's Last Exam (Artificial Analysis run)19.3%42.9%GPT-5.6 Terra
GPQA Diamond (Epoch AI run)73.2%93.3%GPT-5.6 Terra
ARC-AGINot measured96.5%Only GPT-5.6 Terra measured
ARC-AGI-2Not measured83.9%Only GPT-5.6 Terra measured
SimpleBenchNot measured48.9%Only GPT-5.6 Terra measured
Chess puzzlesNot measured47.0%Only GPT-5.6 Terra measured
Mystery game puzzlesNot measured35.0%Only GPT-5.6 Terra measured
LMArena Text: hard prompts14381469GPT-5.6 Terra
LMArena Text: expert14471496GPT-5.6 Terra
LMArena Text: hard prompts in English14481465GPT-5.6 Terra
LMArena Vision: diagrams12641295GPT-5.6 Terra
LMArena Vision: homework12931312GPT-5.6 Terra
Kagi LLM BenchmarkNot measured51.3%Only GPT-5.6 Terra measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index12
Math benchmarks for Gemma 4 26B A4B and GPT-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
OTIS Mock AIME82.2%99.7%GPT-5.6 Terra
FrontierMath, tiers 1 to 3Not measured86.0%Only GPT-5.6 Terra measured
FrontierMath, tier 4Not measured70.7%Only GPT-5.6 Terra measured
ProofBenchNot measured74.0%Only GPT-5.6 Terra measured
LMArena Text: math14701465Gemma 4 26B A4B
LMArena Text: mathematical work14751478GPT-5.6 Terra
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-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
MMLU ProNot measured86.7%Only GPT-5.6 Terra measured
LegalBench (Vals AI)Not measured85.1%Only GPT-5.6 Terra measured
CorpFin (Vals AI)Not measured65.3%Only GPT-5.6 Terra measured
TaxEval (Vals AI)Not measured76.2%Only GPT-5.6 Terra measured
MortgageTax (Vals AI)Not measured67.3%Only GPT-5.6 Terra measured
MedCode (Vals AI)Not measured43.4%Only GPT-5.6 Terra measured
SimpleQA VerifiedNot measured43.2%Only GPT-5.6 Terra measured
LMArena Text: science14461452GPT-5.6 Terra
LMArena Text: medicine and healthcare14281430GPT-5.6 Terra
LMArena Text: legal and government14571461GPT-5.6 Terra
LMArena Text: business and finance14291448GPT-5.6 Terra
FACTS Benchmark Suite42.7%52.0%GPT-5.6 Terra
Neither model has a result on the other 6 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-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
Design Arena: websitesNot measured1268Only GPT-5.6 Terra measured
Design Arena: UI componentsNot measured1256Only GPT-5.6 Terra measured
Design Arena: game devNot measured1229Only GPT-5.6 Terra measured
Design Arena: data vizNot measured1240Only GPT-5.6 Terra measured
Design Arena: 3DNot measured1134Only GPT-5.6 Terra measured
Design Arena: all code categoriesNot measured1241Only GPT-5.6 Terra measured
Design Arena: SVGNot measured1219Only GPT-5.6 Terra measured
Design Arena: ASCII artNot measured1177Only GPT-5.6 Terra measured
LiveBench designNot measured76.0%Only GPT-5.6 Terra measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index320
General benchmarks for Gemma 4 26B A4B and GPT-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
LiveBench data analysisNot measured79.3%Only GPT-5.6 Terra measured
Public Benefits Bench (Vals AI)Not measured62.4%Only GPT-5.6 Terra measured
SAGE (Vals AI)Not measured47.0%Only GPT-5.6 Terra measured
MedScribe (Vals AI)Not measured82.9%Only GPT-5.6 Terra measured
Vals Multimodal IndexNot measured65.1%Only GPT-5.6 Terra measured
IFBench72.4%71.2%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%83.0%GPT-5.6 Terra
DTBench74.9%93.3%GPT-5.6 Terra
LMCA29.7%54.9%GPT-5.6 Terra
Surface Evolver BenchNot measured83.8%Only GPT-5.6 Terra measured
Furniture assemblyNot measured54.2%Only GPT-5.6 Terra measured
LMArena Text14341448GPT-5.6 Terra
LMArena Text: instruction following14201456GPT-5.6 Terra
LMArena Text: creative writing14001413GPT-5.6 Terra
LMArena Vision12601271GPT-5.6 Terra
LMArena Text: English14441449GPT-5.6 Terra
LMArena Text: non-English14211441GPT-5.6 Terra
LMArena Text: Chinese14951514GPT-5.6 Terra
LMArena Text: GermanNot measured1460Only GPT-5.6 Terra measured
LMArena Text: JapaneseNot measured1454Only GPT-5.6 Terra measured
LMArena Text: KoreanNot measured1427Only GPT-5.6 Terra measured
LMArena Text: French14601466GPT-5.6 Terra
LMArena Text: Spanish14151451GPT-5.6 Terra
LMArena Text: Russian14341452GPT-5.6 Terra
LMArena Text: PolishNot measured1446Only GPT-5.6 Terra measured
LMArena Text: multi-turn14411453GPT-5.6 Terra
LMArena Text: longer queries14271454GPT-5.6 Terra
LMArena Text: writing and language14051431GPT-5.6 Terra
LMArena Text: entertainment and media14031418GPT-5.6 Terra
LMArena Vision: English12561272GPT-5.6 Terra
LMArena Vision: Chinese13121337GPT-5.6 Terra
LMArena Vision: reading text12681278GPT-5.6 Terra
LMArena Vision: humor12721236Gemma 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 writing12561248Gemma 4 26B A4B
LMArena DocumentNot measured1472Only GPT-5.6 Terra measured
Neither model has a result on the other 9 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-5.6 Terra
BenchmarkGemma 4 26B A4BGPT-5.6 TerraLeader
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-5.6 Terra$0.0080Fits 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-5.6 Terra$0.136Fits 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-5.6 Terra$0.520Fits 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-5.6 Terra
SpecificationGoogle Gemma 4 26B A4BOpenAI GPT-5.6 Terra
MakerGoogleOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 3, 2026July 9, 2026
Context window262K1.05M
Input $/Mtok$0.15$2.00
Output $/Mtok$0.60$12.00
Coding indexNot benchmarked63.9
Independent measurements behind it16
Cost per solved taskNot computable$0.42
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than GPT-5.6 Terra for coding?

Only GPT-5.6 Terra has a coding score, 63.9 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 20.0x cheaper ($0.60 vs $12.00 per million) and work measured by LMArena Text: math or IFBench, where it leads.

Which is cheaper, Gemma 4 26B A4B or GPT-5.6 Terra?

Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.6 Terra costs $2.00 and $12.00. Cost per solved task is known for GPT-5.6 Terra only.

Which has the bigger context window, Gemma 4 26B A4B or GPT-5.6 Terra?

GPT-5.6 Terra, with 1.05M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs GPT-5.6 Terra comparison based on?

53 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-5.6 Terra's on 6. Where only one model has a result, the page says so instead of naming a winner.

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