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Gemini 4 Argon vs Llama 4 Scout

Gemini 4 Argon leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 52.6 to 6.5, and Llama 4 Scout costs 20.0x less per output token ($0.50 vs $10.00 per million). Updated October 22, 2026; 43 benchmarks have a result for both.

Gemini 4 ArgonGoogle
Coding
81.0
Overall
84.0
Output $/M
$10.00
43
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 43 shared

Gemini 4 Argon or Llama 4 Scout: which to pick

Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.

Pick Llama 4 Scout for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and a larger context window (1.31M against 1.05M tokens).

Shared results
43
Gemini 4 Argon only
51
Llama 4 Scout only
39
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
Gemini 4 Argon 81.0 from 5 benchmarks, Llama 4 Scout not benchmarked.
Widest category
Web design, 67.8 points apart on average over 5 shared benchmarks.
Widest single gap
ARC-AGI: Gemini 4 Argon 98.5% against Llama 4 Scout 0.5%, 98.0 points apart on a 0 to 100 scale.
Output price
Gemini 4 Argon $10.00 against Llama 4 Scout $0.50 per million output tokens, 20.0x apart.
Context window
Gemini 4 Argon takes 1.05M 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
CategoryGemini 4 ArgonBarsLlama 4 ScoutTies
Coding30
Intelligence20
Reasoning70
Math30
Knowledge60
Web design50
General170
All shared boards430
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LiveBench coding89.7%Not measuredOnly Gemini 4 Argon measured
LMArena WebDev1678Not measuredOnly Gemini 4 Argon measured
AA Coding IndexNot measured8.2Only Llama 4 Scout measured
LiveCodeBench (Vals AI)Not measured38.5%Only Llama 4 Scout measured
Terminal-Bench 4 (Vals AI)57.6%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench (Vals AI)91.9%Not measuredOnly Gemini 4 Argon measured
Code migration (Vals AI)68.2%Not measuredOnly Gemini 4 Argon measured
ProgramBench (Vals AI)2.5%Not measuredOnly Gemini 4 Argon measured
IOI (Vals AI)100.0%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench 2.1 (Vals AI)57.7%Not measuredOnly Gemini 4 Argon measured
SWE-bench Multimodal (Vals AI)56.0%Not measuredOnly Gemini 4 Argon measured
Vibe Code Bench 1-100 (Vals AI)21.2%Not measuredOnly Gemini 4 Argon measured
CyberBench (Vals AI)77.9%Not measuredOnly Gemini 4 Argon measured
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCode61.8%21.3%Gemini 4 Argon
Terminal-Bench Hard (Artificial Analysis run)Not measured1.5%Only Llama 4 Scout measured
FrontierCode47.5%Not measuredOnly Gemini 4 Argon measured
FrontierSWE55.0%Not measuredOnly Gemini 4 Argon measured
MirrorCode58.9%Not measuredOnly Gemini 4 Argon measured
ALE-Bench2100.1Not measuredOnly Gemini 4 Argon measured
LMArena Text: coding15461286Gemini 4 Argon
LMArena Text: software and IT15561286Gemini 4 Argon
LMArena WebDev: React1692Not measuredOnly Gemini 4 Argon measured
LMArena WebDev: HTML1643Not measuredOnly Gemini 4 Argon measured
SciCode12.3%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
AA Intelligence Index52.66.5Gemini 4 Argon
Epoch Capabilities Index166.4129.6Gemini 4 Argon
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
Agentic work benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
Design Arena: spreadsheets1157Not measuredOnly Gemini 4 Argon measured
LiveBench research83.1%Not measuredOnly Gemini 4 Argon measured
LiveBench browser92.0%Not measuredOnly Gemini 4 Argon measured
LiveBench long agentic69.9%Not measuredOnly Gemini 4 Argon measured
SREBench (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Finance Agent (Vals AI)65.4%Not measuredOnly Gemini 4 Argon measured
Tax Agent Bench (Vals AI)44.6%Not measuredOnly Gemini 4 Argon measured
Legal Research Bench (Vals AI)54.8%Not measuredOnly Gemini 4 Argon measured
Harvey's Legal Agent Benchmark (Vals AI)27.1%Not measuredOnly Gemini 4 Argon measured
Excel Modeling Benchmark (Vals AI)75.2%Not measuredOnly Gemini 4 Argon measured
BioMysteryBench (Vals AI)76.3%Not measuredOnly Gemini 4 Argon measured
Terminal-Bench-Science (Vals AI)44.3%Not measuredOnly Gemini 4 Argon measured
Vals Science Index55.4%Not measuredOnly Gemini 4 Argon measured
Time Horizon Index (Vals AI)52.5%Not measuredOnly Gemini 4 Argon measured
CUA-bench (Vals AI)4.8%Not measuredOnly Gemini 4 Argon measured
Robo-bench (Vals AI)0.8%Not measuredOnly Gemini 4 Argon measured
τ²-Bench TelecomNot measured15.5%Only Llama 4 Scout measured
APEX-Agents82.4%Not measuredOnly Gemini 4 Argon measured
Vending-Bench 2$13,718Not measuredOnly Gemini 4 Argon measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
GPQA DiamondNot measured47.0%Only Llama 4 Scout measured
LiveBench reasoning95.1%Not measuredOnly Gemini 4 Argon measured
MysteryMechanism (Vals AI)45.5%Not measuredOnly Gemini 4 Argon measured
MMMU Pro (Vals AI)Not measured58.8%Only Llama 4 Scout measured
GPQA Diamond (Artificial Analysis run)Not measured58.7%Only Llama 4 Scout measured
Humanity's Last Exam (Artificial Analysis run)57.1%3.8%Gemini 4 Argon
GPQA Diamond (Epoch AI run)96.4%51.8%Gemini 4 Argon
ARC-AGI98.5%0.5%Gemini 4 Argon
ARC-AGI-291.3%0.0%Gemini 4 Argon
Chess puzzles59.0%Not measuredOnly Gemini 4 Argon measured
Mystery game puzzles64.0%Not measuredOnly Gemini 4 Argon measured
EBR-bench64.8%Not measuredOnly Gemini 4 Argon measured
LMArena Text: hard prompts15461266Gemini 4 Argon
LMArena Text: expert15501235Gemini 4 Argon
LMArena Text: hard prompts in English15481293Gemini 4 Argon
LMArena Vision: diagramsNot measured1125Only Llama 4 Scout measured
LMArena Vision: homeworkNot measured1148Only Llama 4 Scout measured
Kagi LLM BenchmarkNot measured36.9%Only Llama 4 Scout measured
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 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 AIME100.0%7.8%Gemini 4 Argon
FrontierMath, tiers 1 to 386.0%Not measuredOnly Gemini 4 Argon measured
FrontierMath, tier 478.0%Not measuredOnly Gemini 4 Argon measured
ProofBench99.0%Not measuredOnly Gemini 4 Argon measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math15361287Gemini 4 Argon
LMArena Text: mathematical work15571286Gemini 4 Argon
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
MMLU ProNot measured69.6%Only Llama 4 Scout measured
LegalBench (Vals AI)88.3%72.0%Gemini 4 Argon
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)58.8%23.3%Gemini 4 Argon
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
SimpleQA Verified76.0%Not measuredOnly Gemini 4 Argon measured
LMArena Text: science15481278Gemini 4 Argon
LMArena Text: medicine and healthcare15551275Gemini 4 Argon
LMArena Text: legal and government15481285Gemini 4 Argon
LMArena Text: business and finance15251257Gemini 4 Argon
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
Design Arena: websites1315750Gemini 4 Argon
Design Arena: UI components1333765Gemini 4 Argon
Design Arena: game dev1377772Gemini 4 Argon
Design Arena: data viz1332896Gemini 4 Argon
Design Arena: 3D1388Not measuredOnly Gemini 4 Argon measured
Design Arena: all code categories1329789Gemini 4 Argon
LiveBench design73.7%Not measuredOnly Gemini 4 Argon measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 4 ScoutLeader
Vals Index69.2%Not measuredOnly Gemini 4 Argon measured
LiveBench data analysis85.2%Not measuredOnly Gemini 4 Argon measured
Public Benefits Bench (Vals AI)69.8%Not measuredOnly Gemini 4 Argon measured
SAGE (Vals AI)53.6%34.8%Gemini 4 Argon
MedScribe (Vals AI)87.4%50.6%Gemini 4 Argon
IFBenchNot measured39.5%Only Llama 4 Scout measured
Long context reasoning (AA-LCR)79.7%27.7%Gemini 4 Argon
DTBench97.6%57.9%Gemini 4 Argon
LMCA63.7%12.0%Gemini 4 Argon
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
Furniture assembly72.5%Not measuredOnly Gemini 4 Argon measured
LMArena Text15321279Gemini 4 Argon
LMArena Text: instruction following15341248Gemini 4 Argon
LMArena Text: creative writing15271249Gemini 4 Argon
LMArena VisionNot measured1118Only Llama 4 Scout measured
LMArena Text: English15381304Gemini 4 Argon
LMArena Text: non-English15221252Gemini 4 Argon
LMArena Text: Chinese16111255Gemini 4 Argon
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: FrenchNot measured1283Only Llama 4 Scout measured
LMArena Text: Spanish15031278Gemini 4 Argon
LMArena Text: Russian15341263Gemini 4 Argon
LMArena Text: PolishNot measured1265Only Llama 4 Scout measured
LMArena Text: multi-turn15561280Gemini 4 Argon
LMArena Text: longer queries15471265Gemini 4 Argon
LMArena Text: writing and language15291269Gemini 4 Argon
LMArena Text: entertainment and media15271242Gemini 4 Argon
LMArena Vision: EnglishNot measured1143Only Llama 4 Scout measured
LMArena Vision: ChineseNot measured1106Only Llama 4 Scout measured
LMArena Vision: reading textNot measured1117Only Llama 4 Scout measured
LMArena Vision: humorNot measured1102Only Llama 4 Scout measured
LMArena Vision: creative writingNot measured1126Only Llama 4 Scout measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Gemini 4 Argon and Llama 4 Scout
BenchmarkGemini 4 ArgonLlama 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

Gemini 4 Argon$0.0070Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Gemini 4 Argon$0.130Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Gemini 4 Argon$0.500Fits in one request
Llama 4 Scout$0.040Fits in one request

Llama 4 Scout 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 Gemini 4 Argon and Llama 4 Scout
SpecificationGoogle Gemini 4 ArgonMeta Llama 4 Scout
MakerGoogleMeta Llama
WeightsNo public weights listedOpen weights
ReleasedOctober 13, 2026April 5, 2025
Context window1.05M1.31M
Input $/Mtok$2.00$0.175
Output $/Mtok$10.00$0.50
Coding index81.0Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computable$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 4 Argon better than Llama 4 Scout for coding?

Only Gemini 4 Argon has a coding score, 81.0 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and a larger context window (1.31M against 1.05M tokens).

Which is cheaper, Gemini 4 Argon or Llama 4 Scout?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or Llama 4 Scout?

Llama 4 Scout, with 1.31M tokens against 1.05M.

How many benchmarks is the Gemini 4 Argon vs Llama 4 Scout comparison based on?

43 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 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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