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Gemma 3 27B vs Llama 4 Scout

Llama 4 Scout leads Gemma 3 27B on the Artificial Analysis Intelligence Index, 6.5 to 4.9, and Gemma 3 27B costs 1.7x less per output token ($0.30 vs $0.50 per million). Updated October 22, 2026; 59 benchmarks have a result for both.

Replace Gemma 3 27B Replace Llama 4 Scout
Gemma 3 27BGoogle
Coding
No data
Overall
31.4
Output $/M
$0.30
47
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
12
vs boards won of 59 shared

Gemma 3 27B or Llama 4 Scout: which to pick

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

Pick Gemma 3 27B for output tokens 1.7x cheaper ($0.30 vs $0.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.

Model AGemma 3 27BGoogleNot benchmarkedNo coding benchmarkNo cost per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
59
Gemma 3 27B only
7
Llama 4 Scout only
23
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 3 27B not benchmarked, Llama 4 Scout not benchmarked.
Widest category
Knowledge, 15.5 points apart on average over 5 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Gemma 3 27B 7.3% against Llama 4 Scout 27.7%, 20.4 points apart on a 0 to 100 scale.
Output price
Gemma 3 27B $0.30 against Llama 4 Scout $0.50 per million output tokens, 1.7x apart.
Context window
Gemma 3 27B takes 131K 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 3 27BBarsLlama 4 ScoutTies
Coding51
Intelligence11
Agentic work12
Reasoning63
Math60
Knowledge41
General244
All shared boards4712
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
Coding benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 4 ScoutLeader
Aider polyglot4.9%Not measuredOnly Gemma 3 27B measured
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
AA Coding Index10.18.2Gemma 3 27B
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
LiveCodeBench (Artificial Analysis run)13.7%29.9%Llama 4 Scout
SciCode23.3%21.3%Gemma 3 27B
Terminal-Bench Hard (Artificial Analysis run)3.8%1.5%Gemma 3 27B
LMArena Text: coding13221286Gemma 3 27B
LMArena Text: software and IT13541286Gemma 3 27B
SciCode0.0%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
Intelligence benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 4 ScoutLeader
AA Intelligence Index4.96.5Llama 4 Scout
Epoch Capabilities Index130.0129.6Gemma 3 27B
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
Agentic work benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 4 ScoutLeader
AA Agentic Index0.10.5Llama 4 Scout
τ²-Bench Telecom10.5%15.5%Llama 4 Scout
Berkeley Function Calling Leaderboard (BFCL)29.5%28.1%Gemma 3 27B
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index63
Reasoning benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 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)42.8%58.7%Llama 4 Scout
Humanity's Last Exam (Artificial Analysis run)4.4%3.8%Gemma 3 27B
GPQA Diamond (Epoch AI run)47.7%51.8%Llama 4 Scout
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
LMArena Text: hard prompts13401266Gemma 3 27B
LMArena Text: expert13041235Gemma 3 27B
LMArena Text: hard prompts in English13531293Gemma 3 27B
LMArena Vision: diagrams11561125Gemma 3 27B
LMArena Vision: homework11601148Gemma 3 27B
Kagi LLM Benchmark35.1%36.9%Llama 4 Scout
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index60
Math benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 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 Index20.714.0Gemma 3 27B
AIME 2025 (Artificial Analysis run)20.7%14.0%Gemma 3 27B
OTIS Mock AIME22.5%7.8%Gemma 3 27B
MATH level 574.0%62.3%Gemma 3 27B
LMArena Text: math13121287Gemma 3 27B
LMArena Text: mathematical work13271286Gemma 3 27B
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
Knowledge benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 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)66.9%75.2%Llama 4 Scout
GeoBench52.0%Not measuredOnly Gemma 3 27B measured
LMArena Text: science13831278Gemma 3 27B
LMArena Text: medicine and healthcare13911275Gemma 3 27B
LMArena Text: legal and government13751285Gemma 3 27B
LMArena Text: business and finance13601257Gemma 3 27B
FACTS Benchmark Suite29.1%Not measuredOnly Gemma 3 27B measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Web design benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 4 ScoutLeader
Design Arena: websitesNot measured750Only Llama 4 Scout measured
Design Arena: UI componentsNot measured765Only Llama 4 Scout measured
Design Arena: game devNot measured772Only Llama 4 Scout measured
Design Arena: data vizNot measured896Only Llama 4 Scout measured
Design Arena: all code categoriesNot measured789Only 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 index244
General benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 4 ScoutLeader
SAGE (Vals AI)Not measured34.8%Only Llama 4 Scout measured
MedScribe (Vals AI)Not measured50.6%Only Llama 4 Scout measured
IFBench31.8%39.5%Llama 4 Scout
Long context reasoning (AA-LCR)7.3%27.7%Llama 4 Scout
DTBench52.5%57.9%Llama 4 Scout
LMCA12.3%12.0%Gemma 3 27B
Fiction.LiveBench33.3%36.0%Llama 4 Scout
Creative writing (Lech Mazur)79.9%Not measuredOnly Gemma 3 27B measured
LMArena Text13581279Gemma 3 27B
LMArena Text: instruction following13211248Gemma 3 27B
LMArena Text: creative writing13451249Gemma 3 27B
LMArena Vision11651118Gemma 3 27B
LMArena Text: English13771304Gemma 3 27B
LMArena Text: non-English13341252Gemma 3 27B
LMArena Text: Chinese13461255Gemma 3 27B
LMArena Text: German13621273Gemma 3 27B
LMArena Text: Japanese12871206Gemma 3 27B
LMArena Text: Korean13081207Gemma 3 27B
LMArena Text: French13681283Gemma 3 27B
LMArena Text: Spanish13491278Gemma 3 27B
LMArena Text: Russian13491263Gemma 3 27B
LMArena Text: Polish13451265Gemma 3 27B
LMArena Text: multi-turn13451280Gemma 3 27B
LMArena Text: longer queries13331265Gemma 3 27B
LMArena Text: writing and language13471269Gemma 3 27B
LMArena Text: entertainment and media13201242Gemma 3 27B
LMArena Vision: English11881143Gemma 3 27B
LMArena Vision: Chinese11641106Gemma 3 27B
LMArena Vision: reading text11561117Gemma 3 27B
LMArena Vision: humor11661102Gemma 3 27B
LMArena Vision: captioning1151Not measuredOnly Gemma 3 27B measured
LMArena Vision: recognizing things1196Not measuredOnly Gemma 3 27B measured
LMArena Vision: creative writing11771126Gemma 3 27B
Neither model has a result on the other 13 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemma 3 27B and Llama 4 Scout
BenchmarkGemma 3 27BLlama 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 3 27B$0.0002Fits in one request
Llama 4 Scout$0.0004Fits in one request

Gemma 3 27B costs less

Repository review

50K input + 3K output tokens

Gemma 3 27B$0.0049Fits in one request
Llama 4 Scout$0.010Fits in one request

Gemma 3 27B costs less

Agent loop

200K input + 10K output tokens

Gemma 3 27B$0.019Exceeds the context window
Llama 4 Scout$0.040Fits in one request

Gemma 3 27B 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 3 27B and Llama 4 Scout
SpecificationGoogle Gemma 3 27BMeta Llama 4 Scout
MakerGoogleMeta Llama
WeightsOpen weightsOpen weights
ReleasedMarch 12, 2025April 5, 2025
Context window131K1.31M
Input $/Mtok$0.08$0.175
Output $/Mtok$0.30$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemma 3 27B better than Llama 4 Scout for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemma 3 27B for output tokens 1.7x cheaper ($0.30 vs $0.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or AA Intelligence Index, where it leads.

Which is cheaper, Gemma 3 27B or Llama 4 Scout?

Gemma 3 27B costs $0.08 per million input tokens and $0.30 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Gemma 3 27B or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 131K.

How many benchmarks is the Gemma 3 27B vs Llama 4 Scout comparison based on?

59 benchmarks have a result for both models as of October 22, 2026. Gemma 3 27B's coding index rests on 0 independent benchmarks and Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.

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