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Gemma 4 26B A4B vs Llama 4 Scout

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Gemma 4 26B A4BGoogle
Coding
22.8
Overall
16.7
Output $/M
$0.255
47
Llama 4 ScoutMeta Llama
Coding
9.1
Overall
6.5
Output $/M
$0.30
0
vs boards won of 47 shared

Decision reading

Pick Gemma 4 26B A4B for coding: it scores 22.8 on the Vibe Coding Index against 9.1 for Llama 4 Scout.

Pick Llama 4 Scout when the context window is larger, 1.31M against 262K tokens.

Shared results
47
Gemma 4 26B A4B only
7
Llama 4 Scout only
33
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 22.8 from 1 benchmark, Llama 4 Scout 9.1 from 1 benchmark.
Widest category
Math, 45.5 points apart on average over 3 shared benchmarks.
Widest single gap
OTIS Mock AIME: Gemma 4 26B A4B 82.2% against Llama 4 Scout 7.8%, 74.4 points apart on a 0 to 100 scale.
Output price
Gemma 4 26B A4B $0.255 against Llama 4 Scout $0.30 per million output tokens, 1.2x apart.
Context window
Gemma 4 26B A4B takes 262K tokens, Llama 4 Scout 1.31M.

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 A4BBarsLlama 4 ScoutTies
Coding50
Intelligence20
Agentic work20
Reasoning80
Math30
Knowledge40
General230
All shared boards470
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
Coding benchmarks for Gemma 4 26B A4B and Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LMArena WebDev1360Not measuredOnly Gemma 4 26B A4B measured
AA Coding Index39.38.2Gemma 4 26B A4B
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCode40.0%21.3%Gemma 4 26B A4B
Terminal-Bench Hard (Artificial Analysis run)25.0%1.5%Gemma 4 26B A4B
WeirdML35.2%Not measuredOnly Gemma 4 26B A4B measured
ALE-Bench927.2Not measuredOnly Gemma 4 26B A4B measured
LMArena Text: coding14461286Gemma 4 26B A4B
LMArena Text: software and IT14541286Gemma 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 Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
AA Intelligence Index16.76.5Gemma 4 26B A4B
Epoch Capabilities Index141.9129.6Gemma 4 26B A4B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Gemma 4 26B A4B and Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
AA Agentic Index2.90.5Gemma 4 26B A4B
τ²-Bench Telecom43.6%15.5%Gemma 4 26B A4B
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 Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)79.2%58.7%Gemma 4 26B A4B
Humanity's Last Exam (Artificial Analysis run)19.3%3.8%Gemma 4 26B A4B
GPQA Diamond (Epoch AI run)73.2%51.8%Gemma 4 26B A4B
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
LMArena Text: hard prompts14381266Gemma 4 26B A4B
LMArena Text: expert14471235Gemma 4 26B A4B
LMArena Text: hard prompts in English14481293Gemma 4 26B A4B
LMArena Vision: diagrams12641125Gemma 4 26B A4B
LMArena Vision: homework12931148Gemma 4 26B A4B
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemma 4 26B A4B and Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
AIMENot measured19.0%Only Llama 4 Scout measured
MATH 500 (Vals AI)Not measured79.2%Only Llama 4 Scout measured
MGSM (Vals AI)Not measured88.0%Only Llama 4 Scout measured
AA Math IndexNot measured14.0Only Llama 4 Scout measured
AIME 2025 (Artificial Analysis run)Not measured14.0%Only Llama 4 Scout measured
OTIS Mock AIME82.2%7.8%Gemma 4 26B A4B
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14701287Gemma 4 26B A4B
LMArena Text: mathematical work14751286Gemma 4 26B A4B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Gemma 4 26B A4B and Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
MMLU ProNot measured69.6%Only Llama 4 Scout measured
LegalBench (Vals AI)Not measured72.0%Only Llama 4 Scout measured
CorpFin (Vals AI)Not measured46.8%Only Llama 4 Scout measured
TaxEval (Vals AI)Not measured55.2%Only Llama 4 Scout measured
MortgageTax (Vals AI)Not measured57.8%Only Llama 4 Scout measured
MedQA (Vals AI)Not measured50.9%Only Llama 4 Scout measured
MedCode (Vals AI)Not measured23.3%Only Llama 4 Scout measured
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
LMArena Text: science14461278Gemma 4 26B A4B
LMArena Text: medicine and healthcare14281275Gemma 4 26B A4B
LMArena Text: legal and government14571285Gemma 4 26B A4B
LMArena Text: business and finance14291257Gemma 4 26B A4B
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Gemma 4 26B A4B and Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
Design Arena: websitesNot measured750Only Llama 4 Scout measured
Design Arena: UI componentsNot measured767Only Llama 4 Scout measured
Design Arena: game devNot measured773Only Llama 4 Scout measured
Design Arena: data vizNot measured896Only Llama 4 Scout measured
Design Arena: all code categoriesNot measured790Only Llama 4 Scout measured
Neither model has a result on the other 4 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index230
General benchmarks for Gemma 4 26B A4B and Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench72.4%39.5%Gemma 4 26B A4B
Long context reasoning (AA-LCR)65.7%27.7%Gemma 4 26B A4B
DTBench74.9%57.9%Gemma 4 26B A4B
LMCA29.7%12.0%Gemma 4 26B A4B
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
LMArena Text14341279Gemma 4 26B A4B
LMArena Text: instruction following14201248Gemma 4 26B A4B
LMArena Text: creative writing14001249Gemma 4 26B A4B
LMArena Vision12601118Gemma 4 26B A4B
LMArena Text: English14441304Gemma 4 26B A4B
LMArena Text: non-English14211252Gemma 4 26B A4B
LMArena Text: Chinese14951255Gemma 4 26B A4B
LMArena Text: GermanNot measured1273Only Llama 4 Scout measured
LMArena Text: JapaneseNot measured1206Only Llama 4 Scout measured
LMArena Text: KoreanNot measured1207Only Llama 4 Scout measured
LMArena Text: French14601283Gemma 4 26B A4B
LMArena Text: Spanish14151278Gemma 4 26B A4B
LMArena Text: Russian14341263Gemma 4 26B A4B
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turn14411280Gemma 4 26B A4B
LMArena Text: longer queries14271265Gemma 4 26B A4B
LMArena Text: writing and language14051269Gemma 4 26B A4B
LMArena Text: entertainment and media14031242Gemma 4 26B A4B
LMArena Vision: English12561143Gemma 4 26B A4B
LMArena Vision: Chinese13121106Gemma 4 26B A4B
LMArena Vision: reading text12681117Gemma 4 26B A4B
LMArena Vision: humor12721102Gemma 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 writing12561126Gemma 4 26B A4B
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 Llama 4 Scout
BenchmarkGemma 4 26B A4BLlama 4 ScoutLeader
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$0.0002Fits in one request
Llama 4 Scout$0.0003Fits in one request

Gemma 4 26B A4B costs less

Repository review

50K input + 3K output tokens

Gemma 4 26B A4B$0.0046Fits in one request
Llama 4 Scout$0.0059Fits in one request

Gemma 4 26B A4B costs less

Agent loop

200K input + 10K output tokens

Gemma 4 26B A4B$0.018Fits in one request
Llama 4 Scout$0.023Fits 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 Llama 4 Scout
SpecificationGoogle Gemma 4 26B A4BMeta Llama 4 Scout
MakerGoogleMeta Llama
WeightsOpen weightsOpen weights
ReleasedApril 3, 2026April 5, 2025
Context window262K1.31M
Input $/Mtok$0.0765$0.10
Output $/Mtok$0.255$0.30
Coding index22.89.1
Independent measurements behind it11
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 4 26B A4B better than Llama 4 Scout for coding?

Pick Gemma 4 26B A4B for coding: it scores 22.8 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when the context window is larger, 1.31M against 262K tokens.

Which is cheaper, Gemma 4 26B A4B or Llama 4 Scout?

Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Gemma 4 26B A4B or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 262K.

How many benchmarks is the Gemma 4 26B A4B vs Llama 4 Scout comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Llama 4 Scout's on 1. Where only one model has a result, the page says so instead of naming a winner.

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