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Kimi K2.6 vs Llama 4 Scout

Kimi K2.6 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 27.0 to 6.5, and Llama 4 Scout costs 8.0x less per output token ($0.50 vs $4.00 per million). Updated October 22, 2026; 67 benchmarks have a result for both.

Replace Kimi K2.6 Replace Llama 4 Scout
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
67
Llama 4 ScoutMeta Llama
Coding
No data
Overall
24.9
Output $/M
$0.50
0
vs boards won of 67 shared

Kimi K2.6 or Llama 4 Scout: which to pick

Only Kimi K2.6 has a coding score, 52.1 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 8.0x cheaper ($0.50 vs $4.00 per million) and a larger context window (1.31M against 262K tokens).

Model AKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved taskModel BLlama 4 ScoutMeta LlamaNot benchmarkedNo coding benchmark$1.276 per solved task
Shared results
67
Kimi K2.6 only
42
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 K2.6 52.1 from 3 benchmarks, Llama 4 Scout not benchmarked.
Widest category
Web design, 58.2 points apart on average over 5 shared benchmarks.
Widest single gap
OTIS Mock AIME: Kimi K2.6 96.1% against Llama 4 Scout 7.8%, 88.3 points apart on a 0 to 100 scale.
Output price
Kimi K2.6 $4.00 against Llama 4 Scout $0.50 per million output tokens, 8.0x apart.
Context window
Kimi K2.6 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 K2.6BarsLlama 4 ScoutTies
Coding60
Intelligence20
Agentic work20
Reasoning100
Math30
Knowledge100
Web design50
General290
All shared boards670
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
SWE-bench VerifiedNot measured9.1%Only Llama 4 Scout measured
LMArena WebDev1509Not measuredOnly Kimi K2.6 measured
AA Coding Index61.88.2Kimi K2.6
LiveCodeBench (Vals AI)86.8%38.5%Kimi K2.6
SWE-bench Verified (Vals AI)76.2%Not measuredOnly Kimi K2.6 measured
Vibe Code Bench (Vals AI)37.9%Not measuredOnly Kimi K2.6 measured
Code migration (Vals AI)27.8%Not measuredOnly Kimi K2.6 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Kimi K2.6 measured
Terminal-Bench 2.1 (Vals AI)53.6%Not measuredOnly Kimi K2.6 measured
LiveCodeBench (Artificial Analysis run)Not measured29.9%Only Llama 4 Scout measured
SciCode51.5%21.3%Kimi K2.6
Terminal-Bench Hard (Artificial Analysis run)43.9%1.5%Kimi K2.6
WeirdML55.9%Not measuredOnly Kimi K2.6 measured
ALE-Bench1092.7Not measuredOnly Kimi K2.6 measured
LMArena Text: coding14891286Kimi K2.6
LMArena Text: software and IT14841286Kimi K2.6
LMArena WebDev: React1505Not measuredOnly Kimi K2.6 measured
LMArena WebDev: HTML1485Not measuredOnly Kimi K2.6 measured
LMArena WebDev: from an image1521Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 20 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
AA Intelligence Index27.06.5Kimi K2.6
Epoch Capabilities Index150.9129.6Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
AA Agentic Index20.50.5Kimi K2.6
Design Arena: agents building web apps1268Not measuredOnly Kimi K2.6 measured
Design Arena: agents building full-stack apps1155Not measuredOnly Kimi K2.6 measured
Design Arena: agents building mobile apps1156Not measuredOnly Kimi K2.6 measured
Design Arena: agents building Android apps1161Not measuredOnly Kimi K2.6 measured
Design Arena: agents building Godot games1120Not measuredOnly Kimi K2.6 measured
Design Arena: agents building games1141Not measuredOnly Kimi K2.6 measured
Design Arena: HTML slides1135Not measuredOnly Kimi K2.6 measured
Design Arena: PowerPoint slides1103Not measuredOnly Kimi K2.6 measured
Design Arena: spreadsheets1276Not measuredOnly Kimi K2.6 measured
Finance Agent (Vals AI)44.9%Not measuredOnly Kimi K2.6 measured
Tax Agent Bench (Vals AI)12.4%Not measuredOnly Kimi K2.6 measured
Legal Research Bench (Vals AI)15.9%Not measuredOnly Kimi K2.6 measured
Excel Modeling Benchmark (Vals AI)57.9%Not measuredOnly Kimi K2.6 measured
τ²-Bench Telecom95.9%15.5%Kimi K2.6
OSWorld 2.04.6%Not measuredOnly Kimi K2.6 measured
Vending-Bench 2$6,205Not measuredOnly Kimi K2.6 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured28.1%Only Llama 4 Scout measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index100
Reasoning benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
GPQA Diamond89.1%47.0%Kimi K2.6
MMMU Pro (Vals AI)86.3%58.8%Kimi K2.6
GPQA Diamond (Artificial Analysis run)91.1%58.7%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)37.5%3.8%Kimi K2.6
GPQA Diamond (Epoch AI run)90.8%51.8%Kimi K2.6
ARC-AGINot measured0.5%Only Llama 4 Scout measured
ARC-AGI-2Not measured0.0%Only Llama 4 Scout measured
Chess puzzles20.0%Not measuredOnly Kimi K2.6 measured
Mystery game puzzles18.0%Not measuredOnly Kimi K2.6 measured
EBR-bench2.4%Not measuredOnly Kimi K2.6 measured
LMArena Text: hard prompts14701266Kimi K2.6
LMArena Text: expert14911235Kimi K2.6
LMArena Text: hard prompts in English14711293Kimi K2.6
LMArena Vision: diagrams12981125Kimi K2.6
LMArena Vision: homework13101148Kimi K2.6
Kagi LLM BenchmarkNot measured36.9%Only Llama 4 Scout measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 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 AIME96.1%7.8%Kimi K2.6
FrontierMath, tiers 1 to 357.2%Not measuredOnly Kimi K2.6 measured
FrontierMath, tier 425.6%Not measuredOnly Kimi K2.6 measured
ProofBench16.0%Not measuredOnly Kimi K2.6 measured
MATH level 5Not measured62.3%Only Llama 4 Scout measured
LMArena Text: math14741287Kimi K2.6
LMArena Text: mathematical work14801286Kimi K2.6
Neither model has a result on the other 1 board here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
MMLU Pro87.6%69.6%Kimi K2.6
LegalBench (Vals AI)84.7%72.0%Kimi K2.6
CaseLaw (Vals AI)61.2%Not measuredOnly Kimi K2.6 measured
CorpFin (Vals AI)66.7%46.8%Kimi K2.6
TaxEval (Vals AI)74.7%55.2%Kimi K2.6
MortgageTax (Vals AI)65.8%57.8%Kimi K2.6
MedQA (Vals AI)Not measured50.9%Only Llama 4 Scout measured
MedCode (Vals AI)40.1%23.3%Kimi K2.6
MMLU Pro (Artificial Analysis run)Not measured75.2%Only Llama 4 Scout measured
SimpleQA Verified34.9%Not measuredOnly Kimi K2.6 measured
LMArena Text: science14681278Kimi K2.6
LMArena Text: medicine and healthcare14571275Kimi K2.6
LMArena Text: legal and government14621285Kimi K2.6
LMArena Text: business and finance14451257Kimi K2.6
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 K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
Design Arena: websites1268750Kimi K2.6
Design Arena: UI components1263765Kimi K2.6
Design Arena: game dev1250772Kimi K2.6
Design Arena: data viz1249896Kimi K2.6
Design Arena: 3D1267Not measuredOnly Kimi K2.6 measured
Design Arena: all code categories1271789Kimi K2.6
Design Arena: SVG1181Not measuredOnly Kimi K2.6 measured
Design Arena: ASCII art1165Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
General benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 4 ScoutLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Kimi K2.6 measured
SAGE (Vals AI)50.2%34.8%Kimi K2.6
MedScribe (Vals AI)78.2%50.6%Kimi K2.6
Vals Multimodal Index56.4%Not measuredOnly Kimi K2.6 measured
IFBench76.0%39.5%Kimi K2.6
Long context reasoning (AA-LCR)81.0%27.7%Kimi K2.6
DTBench90.9%57.9%Kimi K2.6
LMCA37.3%12.0%Kimi K2.6
Fiction.LiveBenchNot measured36.0%Only Llama 4 Scout measured
Furniture assembly21.7%Not measuredOnly Kimi K2.6 measured
ExploitBench18.4%Not measuredOnly Kimi K2.6 measured
LMArena Text14551279Kimi K2.6
LMArena Text: instruction following14511248Kimi K2.6
LMArena Text: creative writing14341249Kimi K2.6
LMArena Vision12821118Kimi K2.6
LMArena Text: English14601304Kimi K2.6
LMArena Text: non-English14461252Kimi K2.6
LMArena Text: Chinese15201255Kimi K2.6
LMArena Text: German14511273Kimi K2.6
LMArena Text: Japanese14431206Kimi K2.6
LMArena Text: Korean14271207Kimi K2.6
LMArena Text: French14711283Kimi K2.6
LMArena Text: Spanish14641278Kimi K2.6
LMArena Text: Russian14461263Kimi K2.6
LMArena Text: Polish14381265Kimi K2.6
LMArena Text: multi-turn14531280Kimi K2.6
LMArena Text: longer queries14681265Kimi K2.6
LMArena Text: writing and language14391269Kimi K2.6
LMArena Text: entertainment and media14281242Kimi K2.6
LMArena Vision: English12871143Kimi K2.6
LMArena Vision: Chinese13461106Kimi K2.6
LMArena Vision: reading text12911117Kimi K2.6
LMArena Vision: humor12801102Kimi K2.6
LMArena Vision: creative writing12731126Kimi K2.6
LMArena Document1451Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.6 and Llama 4 Scout
BenchmarkKimi K2.6Llama 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 K2.6$0.0029Fits in one request
Llama 4 Scout$0.0004Fits in one request

Llama 4 Scout costs less

Repository review

50K input + 3K output tokens

Kimi K2.6$0.059Fits in one request
Llama 4 Scout$0.010Fits in one request

Llama 4 Scout costs less

Agent loop

200K input + 10K output tokens

Kimi K2.6$0.230Fits 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 K2.6 and Llama 4 Scout
SpecificationMoonshotAI Kimi K2.6Meta Llama 4 Scout
MakerMoonshot AIMeta Llama
WeightsOpen weightsOpen weights
ReleasedApril 20, 2026April 5, 2025
Context window262K1.31M
Input $/Mtok$0.95$0.175
Output $/Mtok$4.00$0.50
Coding index52.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.35$1.276
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.6 better than Llama 4 Scout for coding?

Only Kimi K2.6 has a coding score, 52.1 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 8.0x cheaper ($0.50 vs $4.00 per million) and a larger context window (1.31M against 262K tokens).

Which is cheaper, Kimi K2.6 or Llama 4 Scout?

Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Per solved SWE-bench Verified task, Kimi K2.6 costs $0.35 and Llama 4 Scout $1.276.

Which has the bigger context window, Kimi K2.6 or Llama 4 Scout?

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

How many benchmarks is the Kimi K2.6 vs Llama 4 Scout comparison based on?

67 benchmarks have a result for both models as of October 22, 2026. Kimi K2.6'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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