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Kimi K2.6 vs Llama 3.1 70B Instruct

Kimi K2.6 leads Llama 3.1 70B Instruct on the Artificial Analysis Intelligence Index, 27.0 to 6.6, and Llama 3.1 70B Instruct costs 7.1x less per output token ($0.56 vs $4.00 per million). Updated October 21, 2026; 39 benchmarks have a result for both.

Replace Kimi K2.6 Replace Llama 3.1 70B Instruct
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
39
Llama 3.1 70B InstructMeta Llama
Coding
No data
Overall
24.3
Output $/M
$0.56
0
vs boards won of 39 shared

Kimi K2.6 or Llama 3.1 70B Instruct: which to pick

Only Kimi K2.6 has a coding score, 52.1 on the Vibe Coding Index; Llama 3.1 70B Instruct has none, so the two cannot be ranked on coding.

Pick Llama 3.1 70B Instruct for output tokens 7.1x cheaper ($0.56 vs $4.00 per million).

Model AKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved taskModel BLlama 3.1 70B InstructMeta LlamaNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
39
Kimi K2.6 only
70
Llama 3.1 70B Instruct only
8
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
Kimi K2.6 52.1 from 3 benchmarks, Llama 3.1 70B Instruct not benchmarked.
Widest category
Agentic work, 80.7 points apart on average over 1 shared benchmark.
Widest single gap
OTIS Mock AIME: Kimi K2.6 96.1% against Llama 3.1 70B Instruct 3.6%, 92.5 points apart on a 0 to 100 scale.
Output price
Kimi K2.6 $4.00 against Llama 3.1 70B Instruct $0.56 per million output tokens, 7.1x apart.
Context window
Kimi K2.6 takes 262K tokens, Llama 3.1 70B Instruct 131K.

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 3.1 70B InstructTies
Coding40
Intelligence20
Agentic work10
Reasoning60
Math30
Knowledge40
General190
All shared boards390
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
LMArena WebDev1509Not measuredOnly Kimi K2.6 measured
AA Coding Index61.8Not measuredOnly Kimi K2.6 measured
LiveCodeBench (Vals AI)86.8%Not measuredOnly Kimi K2.6 measured
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 measured23.2%Only Llama 3.1 70B Instruct measured
SciCode51.5%Not measuredOnly Kimi K2.6 measured
Terminal-Bench Hard (Artificial Analysis run)43.9%3.0%Kimi K2.6
WeirdML55.9%9.0%Kimi K2.6
ALE-Bench1092.7Not measuredOnly Kimi K2.6 measured
LMArena Text: coding14891260Kimi K2.6
LMArena Text: software and IT14841260Kimi 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 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
AA Intelligence Index27.06.6Kimi K2.6
Epoch Capabilities Index150.9125.9Kimi K2.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
AA Agentic Index20.5Not measuredOnly Kimi K2.6 measured
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 apps1157Not measuredOnly Kimi K2.6 measured
Design Arena: agents building Android apps1160Not 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 slides1184Not measuredOnly Kimi K2.6 measured
Design Arena: PowerPoint slides1128Not 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%15.2%Kimi K2.6
OSWorld 2.04.6%Not measuredOnly Kimi K2.6 measured
BALROGNot measured27.9%Only Llama 3.1 70B Instruct measured
TheAgentCompanyNot measured6.9%Only Llama 3.1 70B Instruct measured
Vending-Bench 2$6,205Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
GPQA Diamond89.1%Not measuredOnly Kimi K2.6 measured
MMMU Pro (Vals AI)86.3%Not measuredOnly Kimi K2.6 measured
GPQA Diamond (Artificial Analysis run)91.1%40.9%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)37.5%4.5%Kimi K2.6
GPQA Diamond (Epoch AI run)90.8%44.2%Kimi K2.6
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 prompts14701241Kimi K2.6
LMArena Text: expert14911209Kimi K2.6
LMArena Text: hard prompts in English14711261Kimi K2.6
LMArena Vision: diagrams1298Not measuredOnly Kimi K2.6 measured
LMArena Vision: homework1310Not measuredOnly Kimi K2.6 measured
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
AA Math IndexNot measured4.0Only Llama 3.1 70B Instruct measured
AIME 2025 (Artificial Analysis run)Not measured4.0%Only Llama 3.1 70B Instruct measured
OTIS Mock AIME96.1%3.6%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 measured36.7%Only Llama 3.1 70B Instruct measured
LMArena Text: math14741252Kimi K2.6
LMArena Text: mathematical work14801253Kimi K2.6
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
MMLU Pro87.6%Not measuredOnly Kimi K2.6 measured
LegalBench (Vals AI)84.7%Not measuredOnly Kimi K2.6 measured
CaseLaw (Vals AI)61.2%Not measuredOnly Kimi K2.6 measured
CorpFin (Vals AI)66.7%Not measuredOnly Kimi K2.6 measured
TaxEval (Vals AI)74.7%Not measuredOnly Kimi K2.6 measured
MortgageTax (Vals AI)65.8%Not measuredOnly Kimi K2.6 measured
MedCode (Vals AI)40.1%Not measuredOnly Kimi K2.6 measured
MMLU Pro (Artificial Analysis run)Not measured67.6%Only Llama 3.1 70B Instruct measured
SimpleQA Verified34.9%Not measuredOnly Kimi K2.6 measured
MMLUNot measured80.1%Only Llama 3.1 70B Instruct measured
LMArena Text: science14681276Kimi K2.6
LMArena Text: medicine and healthcare14571257Kimi K2.6
LMArena Text: legal and government14621283Kimi K2.6
LMArena Text: business and finance14451235Kimi K2.6
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
Design Arena: websites1269Not measuredOnly Kimi K2.6 measured
Design Arena: UI components1266Not measuredOnly Kimi K2.6 measured
Design Arena: game dev1251Not measuredOnly Kimi K2.6 measured
Design Arena: data viz1249Not measuredOnly Kimi K2.6 measured
Design Arena: 3D1268Not measuredOnly Kimi K2.6 measured
Design Arena: all code categories1272Not measuredOnly Kimi K2.6 measured
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 index190
General benchmarks for Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
Public Benefits Bench (Vals AI)56.6%Not measuredOnly Kimi K2.6 measured
SAGE (Vals AI)50.2%Not measuredOnly Kimi K2.6 measured
MedScribe (Vals AI)78.2%Not measuredOnly Kimi K2.6 measured
Vals Multimodal Index56.4%Not measuredOnly Kimi K2.6 measured
IFBench76.0%34.4%Kimi K2.6
Long context reasoning (AA-LCR)81.0%Not measuredOnly Kimi K2.6 measured
DTBench90.9%60.0%Kimi K2.6
LMCA37.3%14.8%Kimi K2.6
Furniture assembly21.7%Not measuredOnly Kimi K2.6 measured
ExploitBench18.4%Not measuredOnly Kimi K2.6 measured
LMArena Text14551261Kimi K2.6
LMArena Text: instruction following14511231Kimi K2.6
LMArena Text: creative writing14341232Kimi K2.6
LMArena Vision1282Not measuredOnly Kimi K2.6 measured
LMArena Text: English14601294Kimi K2.6
LMArena Text: non-English14461219Kimi K2.6
LMArena Text: Chinese15201215Kimi K2.6
LMArena Text: German14511222Kimi K2.6
LMArena Text: Japanese14431132Kimi K2.6
LMArena Text: Korean14271140Kimi K2.6
LMArena Text: French14711262Kimi K2.6
LMArena Text: Spanish14641253Kimi K2.6
LMArena Text: Russian14461234Kimi K2.6
LMArena Text: Polish1438Not measuredOnly Kimi K2.6 measured
LMArena Text: multi-turn14531256Kimi K2.6
LMArena Text: longer queries14681241Kimi K2.6
LMArena Text: writing and language14391236Kimi K2.6
LMArena Text: entertainment and media14281230Kimi K2.6
LMArena Vision: English1287Not measuredOnly Kimi K2.6 measured
LMArena Vision: Chinese1346Not measuredOnly Kimi K2.6 measured
LMArena Vision: reading text1291Not measuredOnly Kimi K2.6 measured
LMArena Vision: humor1280Not measuredOnly Kimi K2.6 measured
LMArena Vision: creative writing1273Not measuredOnly Kimi K2.6 measured
LMArena Document1451Not measuredOnly Kimi K2.6 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 Kimi K2.6 and Llama 3.1 70B Instruct
BenchmarkKimi K2.6Llama 3.1 70B InstructLeader
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 3.1 70B Instruct$0.0008Fits in one request

Llama 3.1 70B Instruct costs less

Repository review

50K input + 3K output tokens

Kimi K2.6$0.059Fits in one request
Llama 3.1 70B Instruct$0.030Fits in one request

Llama 3.1 70B Instruct costs less

Agent loop

200K input + 10K output tokens

Kimi K2.6$0.230Fits in one request
Llama 3.1 70B Instruct$0.118Exceeds the context window

Llama 3.1 70B Instruct 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 3.1 70B Instruct
SpecificationMoonshotAI Kimi K2.6Meta Llama 3.1 70B Instruct
MakerMoonshot AIMeta Llama
WeightsOpen weightsOpen weights
ReleasedApril 20, 2026July 23, 2024
Context window262K131K
Input $/Mtok$0.95$0.56
Output $/Mtok$4.00$0.56
Coding index52.1Not benchmarked
Independent measurements behind it30
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.6 better than Llama 3.1 70B Instruct for coding?

Only Kimi K2.6 has a coding score, 52.1 on the Vibe Coding Index; Llama 3.1 70B Instruct has none, so the two cannot be ranked on coding. Pick Llama 3.1 70B Instruct for output tokens 7.1x cheaper ($0.56 vs $4.00 per million).

Which is cheaper, Kimi K2.6 or Llama 3.1 70B Instruct?

Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens; Llama 3.1 70B Instruct costs $0.56 and $0.56. Cost per solved task is known for Kimi K2.6 only.

Which has the bigger context window, Kimi K2.6 or Llama 3.1 70B Instruct?

Kimi K2.6, with 262K tokens against 131K.

How many benchmarks is the Kimi K2.6 vs Llama 3.1 70B Instruct comparison based on?

39 benchmarks have a result for both models as of October 21, 2026. Kimi K2.6's coding index rests on 3 independent benchmarks and Llama 3.1 70B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.

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