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Llama 4 Scout vs o4 Mini

o4 Mini leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 16.7 to 6.5, and Llama 4 Scout costs 8.8x less per output token ($0.50 vs $4.40 per million). Updated October 22, 2026; 79 benchmarks have a result for both.

Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
o4 MiniOpenAI
Coding
No data
Overall
43.0
Output $/M
$4.40
79
vs boards won of 79 shared

Llama 4 Scout or o4 Mini: which to pick

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

Pick Llama 4 Scout for output tokens 8.8x cheaper ($0.50 vs $4.40 per million) and a larger context window (1.31M against 200K tokens).

Shared results
79
Llama 4 Scout only
3
o4 Mini only
19
Like-for-like categories
8 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
Llama 4 Scout not benchmarked, o4 Mini not benchmarked.
Widest category
Math, 42.3 points apart on average over 9 shared benchmarks.
Widest single gap
AA Math Index: Llama 4 Scout 14.0 against o4 Mini 90.7, 76.7 points apart on a 0 to 100 scale.
Output price
Llama 4 Scout $0.50 against o4 Mini $4.40 per million output tokens, 8.8x apart.
Context window
Llama 4 Scout takes 1.31M tokens, o4 Mini 200K.

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
CategoryLlama 4 ScoutBarso4 MiniTies
Coding06
Intelligence02
Agentic work02
Reasoning013
Math09
Knowledge012
Web design05
General030
All shared boards079
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
Coding benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
Aider polyglotNot measured72.0%Only o4 Mini measured
SWE-bench Verified9.1%64.6%o4 Mini
SWE-bench MultimodalNot measured33.9%Only o4 Mini measured
AA Coding Index8.2Not measuredOnly Llama 4 Scout measured
LiveCodeBench (Vals AI)38.5%82.2%o4 Mini
LiveCodeBench (Artificial Analysis run)29.9%85.9%o4 Mini
SciCode21.3%Not measuredOnly Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)1.5%15.2%o4 Mini
GSO-BenchNot measured3.6%Only o4 Mini measured
WeirdMLNot measured52.6%Only o4 Mini measured
LMArena Text: coding12861368o4 Mini
LMArena Text: software and IT12861367o4 Mini
SciCodeNot measured10.8%Only o4 Mini measured
Neither model has a result on the other 26 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
AA Intelligence Index6.516.7o4 Mini
Epoch Capabilities Index129.6145.5o4 Mini
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
Agentic work benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
AA Agentic Index0.5Not measuredOnly Llama 4 Scout measured
τ²-Bench Telecom15.5%55.6%o4 Mini
METR time horizonsNot measured63.9%Only o4 Mini measured
Berkeley Function Calling Leaderboard (BFCL)28.1%53.2%o4 Mini
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index013
Reasoning benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
GPQA Diamond47.0%74.5%o4 Mini
MMMU Pro (Vals AI)58.8%79.7%o4 Mini
GPQA Diamond (Artificial Analysis run)58.7%78.4%o4 Mini
Humanity's Last Exam (Artificial Analysis run)3.8%16.5%o4 Mini
GPQA Diamond (Epoch AI run)51.8%79.6%o4 Mini
ARC-AGI0.5%58.7%o4 Mini
ARC-AGI-20.0%6.1%o4 Mini
SimpleBenchNot measured38.7%Only o4 Mini measured
Chess puzzlesNot measured22.0%Only o4 Mini measured
Mystery game puzzlesNot measured5.0%Only o4 Mini measured
VPCTNot measured57.5%Only o4 Mini measured
LMArena Text: hard prompts12661351o4 Mini
LMArena Text: expert12351343o4 Mini
LMArena Text: hard prompts in English12931366o4 Mini
LMArena Vision: diagrams11251197o4 Mini
LMArena Vision: homework11481234o4 Mini
Kagi LLM Benchmark36.9%67.6%o4 Mini
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index09
Math benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
AIME19.0%83.7%o4 Mini
MATH 500 (Vals AI)79.2%94.2%o4 Mini
MGSM (Vals AI)88.0%93.4%o4 Mini
AA Math Index14.090.7o4 Mini
AIME 2025 (Artificial Analysis run)14.0%90.7%o4 Mini
OTIS Mock AIME7.8%81.7%o4 Mini
FrontierMath, tiers 1 to 3Not measured36.1%Only o4 Mini measured
FrontierMath, tier 4Not measured4.9%Only o4 Mini measured
MATH level 562.3%97.8%o4 Mini
LMArena Text: math12871389o4 Mini
LMArena Text: mathematical work12861379o4 Mini
Neither model has a result on the other 2 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index012
Knowledge benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
MMLU Pro69.6%80.6%o4 Mini
LegalBench (Vals AI)72.0%79.2%o4 Mini
CorpFin (Vals AI)46.8%59.0%o4 Mini
TaxEval (Vals AI)55.2%74.8%o4 Mini
MortgageTax (Vals AI)57.8%64.8%o4 Mini
MedQA (Vals AI)50.9%96.0%o4 Mini
MedCode (Vals AI)23.3%33.8%o4 Mini
MMLU Pro (Artificial Analysis run)75.2%83.2%o4 Mini
SimpleQA VerifiedNot measured19.6%Only o4 Mini measured
GeoBenchNot measured64.0%Only o4 Mini measured
LMArena Text: science12781354o4 Mini
LMArena Text: medicine and healthcare12751361o4 Mini
LMArena Text: legal and government12851350o4 Mini
LMArena Text: business and finance12571325o4 Mini
FACTS Benchmark SuiteNot measured28.1%Only o4 Mini measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index05
Web design benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
Design Arena: websites750985o4 Mini
Design Arena: UI components765983o4 Mini
Design Arena: game dev7721003o4 Mini
Design Arena: data viz896991o4 Mini
Design Arena: 3DNot measured854Only o4 Mini measured
Design Arena: all code categories789976o4 Mini
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index030
General benchmarks for Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
SAGE (Vals AI)34.8%41.1%o4 Mini
MedScribe (Vals AI)50.6%69.1%o4 Mini
IFBench39.5%68.7%o4 Mini
Long context reasoning (AA-LCR)27.7%61.0%o4 Mini
DTBench57.9%77.6%o4 Mini
LMCA12.0%26.5%o4 Mini
Fiction.LiveBench36.0%77.8%o4 Mini
Creative writing (Lech Mazur)Not measured75.0%Only o4 Mini measured
LMArena Text12791353o4 Mini
LMArena Text: instruction following12481320o4 Mini
LMArena Text: creative writing12491294o4 Mini
LMArena Vision11181194o4 Mini
LMArena Text: English13041367o4 Mini
LMArena Text: non-English12521337o4 Mini
LMArena Text: Chinese12551354o4 Mini
LMArena Text: German12731336o4 Mini
LMArena Text: Japanese12061308o4 Mini
LMArena Text: Korean12071312o4 Mini
LMArena Text: French12831364o4 Mini
LMArena Text: Spanish12781346o4 Mini
LMArena Text: Russian12631334o4 Mini
LMArena Text: Polish12651358o4 Mini
LMArena Text: multi-turn12801350o4 Mini
LMArena Text: longer queries12651315o4 Mini
LMArena Text: writing and language12691316o4 Mini
LMArena Text: entertainment and media12421308o4 Mini
LMArena Vision: English11431200o4 Mini
LMArena Vision: Chinese11061218o4 Mini
LMArena Vision: reading text11171197o4 Mini
LMArena Vision: humor11021199o4 Mini
LMArena Vision: captioningNot measured1204Only o4 Mini measured
LMArena Vision: recognizing thingsNot measured1218Only o4 Mini measured
LMArena Vision: creative writing11261166o4 Mini
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 Llama 4 Scout and o4 Mini
BenchmarkLlama 4 Scouto4 MiniLeader
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

Llama 4 Scout$0.0004Fits in one request
o4 Mini$0.0033Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Llama 4 Scout$0.010Fits in one request
o4 Mini$0.068Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Llama 4 Scout$0.040Fits in one request
o4 Mini$0.264Exceeds the context window

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 Llama 4 Scout and o4 Mini
SpecificationMeta Llama 4 ScoutOpenAI o4 Mini
MakerMeta LlamaOpenAI
WeightsOpen weightsNo public weights listed
ReleasedApril 5, 2025April 16, 2025
Context window1.31M200K
Input $/Mtok$0.175$1.10
Output $/Mtok$0.50$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved task$1.276Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Llama 4 Scout better than o4 Mini for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 8.8x cheaper ($0.50 vs $4.40 per million) and a larger context window (1.31M against 200K tokens).

Which is cheaper, Llama 4 Scout or o4 Mini?

Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for Llama 4 Scout only.

Which has the bigger context window, Llama 4 Scout or o4 Mini?

Llama 4 Scout, with 1.31M tokens against 200K.

How many benchmarks is the Llama 4 Scout vs o4 Mini comparison based on?

79 benchmarks have a result for both models as of October 22, 2026. Llama 4 Scout's coding index rests on 0 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.

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