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Kimi K2.5 vs Llama 4 Scout

Kimi K2.5 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 23.5 to 6.5, and Llama 4 Scout costs 5.7x less per output token ($0.50 vs $2.85 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace Kimi K2.5 Replace Llama 4 Scout
Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
67
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 67 shared

Kimi K2.5 or Llama 4 Scout: which to pick

Only Kimi K2.5 has a coding score, 38.6 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 5.7x cheaper ($0.50 vs $2.85 per million) and a larger context window (1.31M against 262K tokens).

Model AKimi K2.5Moonshot AI38.6/1003 independent benchmarks$0.24 per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
67
Kimi K2.5 only
32
Llama 4 Scout only
15
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
Kimi K2.5 38.6 from 3 benchmarks, Llama 4 Scout not benchmarked.
Widest category
Agentic work, 80.4 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Kimi K2.5 95.9% against Llama 4 Scout 15.5%, 80.4 points apart on a 0 to 100 scale.
Output price
Kimi K2.5 $2.85 against Llama 4 Scout $0.50 per million output tokens, 5.7x apart.
Context window
Kimi K2.5 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
CategoryKimi K2.5BarsLlama 4 ScoutTies
Coding60
Intelligence20
Agentic work10
Reasoning120
Math30
Knowledge100
Web design50
General280
All shared boards670
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
SWE-bench Verified70.8%9.1%Kimi K2.5
SWE-bench Multilingual67.3%Not measuredOnly Kimi K2.5 measured
LMArena WebDev1437Not measuredOnly Kimi K2.5 measured
AA Coding Index46.88.2Kimi K2.5
LiveCodeBench (Vals AI)83.9%38.5%Kimi K2.5
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Kimi K2.5 measured
Vibe Code Bench (Vals AI)17.5%Not measuredOnly Kimi K2.5 measured
Code migration (Vals AI)7.0%Not measuredOnly Kimi K2.5 measured
Terminal-Bench 2.1 (Vals AI)42.0%Not measuredOnly Kimi K2.5 measured
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCodeNot measured21.3%Only Llama 4 Scout measured
Terminal-Bench Hard (Artificial Analysis run)34.8%1.5%Kimi K2.5
Terminal-Bench43.2%Not measuredOnly Kimi K2.5 measured
WeirdML45.6%Not measuredOnly Kimi K2.5 measured
ALE-Bench821.6Not measuredOnly Kimi K2.5 measured
LMArena Text: coding14831286Kimi K2.5
LMArena Text: software and IT14711286Kimi K2.5
LMArena WebDev: React1429Not measuredOnly Kimi K2.5 measured
LMArena WebDev: HTML1426Not measuredOnly Kimi K2.5 measured
LMArena WebDev: from an image1439Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
AA Intelligence Index23.56.5Kimi K2.5
Epoch Capabilities Index148.1129.6Kimi K2.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
AA Agentic IndexNot measured0.5Only Llama 4 Scout measured
Design Arena: agents building web apps1136Not measuredOnly Kimi K2.5 measured
Design Arena: agents building full-stack apps1114Not measuredOnly Kimi K2.5 measured
Design Arena: agents building mobile apps1147Not measuredOnly Kimi K2.5 measured
Design Arena: agents building Android apps1118Not measuredOnly Kimi K2.5 measured
Design Arena: agents building Godot games1219Not measuredOnly Kimi K2.5 measured
Finance Agent (Vals AI)35.8%Not measuredOnly Kimi K2.5 measured
Legal Research Bench (Vals AI)15.9%Not measuredOnly Kimi K2.5 measured
Excel Modeling Benchmark (Vals AI)28.5%Not measuredOnly Kimi K2.5 measured
τ²-Bench Telecom95.9%15.5%Kimi K2.5
OSWorld63.3%Not measuredOnly Kimi K2.5 measured
Vending-Bench 2$1,198Not measuredOnly Kimi K2.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
Reasoning benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
GPQA Diamond84.1%47.0%Kimi K2.5
MMMU Pro (Vals AI)84.3%58.8%Kimi K2.5
GPQA Diamond (Artificial Analysis run)87.9%58.7%Kimi K2.5
Humanity's Last Exam (Artificial Analysis run)30.7%3.8%Kimi K2.5
GPQA Diamond (Epoch AI run)Not measured51.8%Only Llama 4 Scout measured
ARC-AGI65.3%0.5%Kimi K2.5
ARC-AGI-211.8%0.0%Kimi K2.5
SimpleBench46.8%Not measuredOnly Kimi K2.5 measured
LMArena Text: hard prompts14531266Kimi K2.5
LMArena Text: expert14661235Kimi K2.5
LMArena Text: hard prompts in English14601293Kimi K2.5
LMArena Vision: diagrams12821125Kimi K2.5
LMArena Vision: homework12971148Kimi K2.5
Kagi LLM Benchmark78.5%36.9%Kimi K2.5
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
AIME95.6%19.0%Kimi K2.5
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 AIMENot measured7.8%Only Llama 4 Scout measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14701287Kimi K2.5
LMArena Text: mathematical work14731286Kimi K2.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
MMLU Pro85.9%69.6%Kimi K2.5
LegalBench (Vals AI)Not measured72.0%Only Llama 4 Scout measured
CaseLaw (Vals AI)58.7%Not measuredOnly Kimi K2.5 measured
CorpFin (Vals AI)68.3%46.8%Kimi K2.5
TaxEval (Vals AI)74.2%55.2%Kimi K2.5
MortgageTax (Vals AI)66.5%57.8%Kimi K2.5
MedQA (Vals AI)94.4%50.9%Kimi K2.5
MedCode (Vals AI)39.3%23.3%Kimi K2.5
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
SimpleQA Verified34.3%Not measuredOnly Kimi K2.5 measured
LMArena Text: science14591278Kimi K2.5
LMArena Text: medicine and healthcare14481275Kimi K2.5
LMArena Text: legal and government14411285Kimi K2.5
LMArena Text: business and finance14271257Kimi K2.5
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index50
Web design benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
Design Arena: websites1248750Kimi K2.5
Design Arena: UI components1234765Kimi K2.5
Design Arena: game dev1206772Kimi K2.5
Design Arena: data viz1219896Kimi K2.5
Design Arena: 3D1204Not measuredOnly Kimi K2.5 measured
Design Arena: all code categories1236789Kimi K2.5
Design Arena: SVG1149Not measuredOnly Kimi K2.5 measured
Design Arena: ASCII art1166Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index280
General benchmarks for Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 4 ScoutLeader
SAGE (Vals AI)49.9%34.8%Kimi K2.5
MedScribe (Vals AI)76.4%50.6%Kimi K2.5
IFBench70.2%39.5%Kimi K2.5
Long context reasoning (AA-LCR)78.0%27.7%Kimi K2.5
DTBenchNot measured57.9%Only Llama 4 Scout measured
LMCANot measured12.0%Only Llama 4 Scout measured
Fiction.LiveBench86.1%36.0%Kimi K2.5
CL-bench19.3%Not measuredOnly Kimi K2.5 measured
CL-bench Life13.2%Not measuredOnly Kimi K2.5 measured
LMArena Text14451279Kimi K2.5
LMArena Text: instruction following14311248Kimi K2.5
LMArena Text: creative writing14221249Kimi K2.5
LMArena Vision12691118Kimi K2.5
LMArena Text: English14531304Kimi K2.5
LMArena Text: non-English14331252Kimi K2.5
LMArena Text: Chinese14941255Kimi K2.5
LMArena Text: German14411273Kimi K2.5
LMArena Text: Japanese14231206Kimi K2.5
LMArena Text: Korean14121207Kimi K2.5
LMArena Text: French14541283Kimi K2.5
LMArena Text: Spanish14501278Kimi K2.5
LMArena Text: Russian14351263Kimi K2.5
LMArena Text: Polish14451265Kimi K2.5
LMArena Text: multi-turn14441280Kimi K2.5
LMArena Text: longer queries14451265Kimi K2.5
LMArena Text: writing and language14251269Kimi K2.5
LMArena Text: entertainment and media14171242Kimi K2.5
LMArena Vision: English12741143Kimi K2.5
LMArena Vision: Chinese13281106Kimi K2.5
LMArena Vision: reading text12761117Kimi K2.5
LMArena Vision: humor12841102Kimi K2.5
LMArena Vision: captioning1257Not measuredOnly Kimi K2.5 measured
LMArena Vision: recognizing things1285Not measuredOnly Kimi K2.5 measured
LMArena Vision: creative writing12691126Kimi K2.5
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 Kimi K2.5 and Llama 4 Scout
BenchmarkKimi K2.5Llama 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

Kimi K2.5$0.0020Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Kimi K2.5$0.035Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Kimi K2.5$0.135Fits 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 Kimi K2.5 and Llama 4 Scout
SpecificationMoonshotAI Kimi K2.5Meta Llama 4 Scout
MakerMoonshot AIMeta Llama
WeightsOpen weightsOpen weights
ReleasedJanuary 27, 2026April 5, 2025
Context window262K1.31M
Input $/Mtok$0.532$0.175
Output $/Mtok$2.85$0.50
Coding index38.6Not benchmarked
Independent measurements behind it30
Cost per solved task$0.24$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.5 better than Llama 4 Scout for coding?

Only Kimi K2.5 has a coding score, 38.6 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 5.7x cheaper ($0.50 vs $2.85 per million) and a larger context window (1.31M against 262K tokens).

Which is cheaper, Kimi K2.5 or Llama 4 Scout?

Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Per solved SWE-bench Verified task, Kimi K2.5 costs $0.24 and Llama 4 Scout $1.276.

Which has the bigger context window, Kimi K2.5 or Llama 4 Scout?

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

How many benchmarks is the Kimi K2.5 vs Llama 4 Scout comparison based on?

67 benchmarks have a result for both models as of October 22, 2026. Kimi K2.5's coding index rests on 3 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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