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Kimi K2.6 vs Muse Spark 1.1

Muse Spark 1.1 leads Kimi K2.6 on coding, 70.3 to 52.1 on the Vibe Coding Index, at about the same output price ($4.25 vs $4.00 per million). Updated October 22, 2026; 92 benchmarks have a result for both.

Replace Kimi K2.6 Replace Muse Spark 1.1
Kimi K2.6Moonshot AI
Coding
52.1
Overall
60.5
Output $/M
$4.00
15
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
76
vs boards won of 92 shared, 1 tied

Kimi K2.6 or Muse Spark 1.1: which to pick

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 52.1 for Kimi K2.6.

Pick Kimi K2.6 for output tokens 1.1x cheaper ($4.00 vs $4.25 per million) and a lower cost per solved task ($0.35 against $0.43).

Model AKimi K2.6Moonshot AI52.1/1003 independent benchmarks$0.35 per solved taskModel BMuse Spark 1.1Meta70.3/1003 independent benchmarks$0.43 per solved task
Shared results
92
Kimi K2.6 only
17
Muse Spark 1.1 only
4
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, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Math, 8.5 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Kimi K2.6 37.9% against Muse Spark 1.1 72.2%, 34.3 points apart on a 0 to 100 scale.
Output price
Kimi K2.6 $4.00 against Muse Spark 1.1 $4.25 per million output tokens, 1.1x apart.
Context window
Kimi K2.6 takes 262K tokens, Muse Spark 1.1 1.05M.

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 K2.6BarsMuse Spark 1.1Ties
Coding1121 tie
Intelligence02
Agentic work410
Reasoning37
Math03
Knowledge010
Web design17
General625
All shared boards15761 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index112
Coding benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
LMArena WebDev15091542Muse Spark 1.1
AA Coding Index61.871.3Muse Spark 1.1
LiveCodeBench (Vals AI)86.8%85.9%Kimi K2.6
SWE-bench Verified (Vals AI)76.2%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)37.9%72.2%Muse Spark 1.1
Code migration (Vals AI)27.8%31.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)53.6%69.3%Muse Spark 1.1
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCode51.5%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)43.9%Not measuredOnly Kimi K2.6 measured
WeirdML55.9%Not measuredOnly Kimi K2.6 measured
ALE-Bench1092.7Not measuredOnly Kimi K2.6 measured
LMArena Text: coding14891498Muse Spark 1.1
LMArena Text: software and IT14841498Muse Spark 1.1
LMArena WebDev: React15051532Muse Spark 1.1
LMArena WebDev: HTML14851540Muse Spark 1.1
LMArena WebDev: from an image15211540Muse Spark 1.1
Neither model has a result on the other 21 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
AA Intelligence Index27.033.7Muse Spark 1.1
Epoch Capabilities Index150.9154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index410
Agentic work benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
AA Agentic Index20.525.8Muse Spark 1.1
Design Arena: agents building web apps12681207Kimi K2.6
Design Arena: agents building full-stack apps11551199Muse Spark 1.1
Design Arena: agents building mobile apps11561175Muse Spark 1.1
Design Arena: agents building Android apps11611178Muse Spark 1.1
Design Arena: agents building Godot games11201103Kimi K2.6
Design Arena: agents building games11411183Muse Spark 1.1
Design Arena: HTML slides11351145Muse Spark 1.1
Design Arena: PowerPoint slides11051134Muse Spark 1.1
Design Arena: spreadsheets12761021Kimi K2.6
Finance Agent (Vals AI)44.9%57.2%Muse Spark 1.1
Tax Agent Bench (Vals AI)12.4%Not measuredOnly Kimi K2.6 measured
Legal Research Bench (Vals AI)15.9%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)57.9%56.4%Kimi K2.6
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom95.9%Not measuredOnly Kimi K2.6 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
OSWorld 2.04.6%Not measuredOnly Kimi K2.6 measured
Vending-Bench 2$6,205$6,520Muse Spark 1.1
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index37
Reasoning benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
GPQA Diamond89.1%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)86.3%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)91.1%89.8%Kimi K2.6
Humanity's Last Exam (Artificial Analysis run)37.5%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)90.8%Not measuredOnly Kimi K2.6 measured
Chess puzzles20.0%34.0%Muse Spark 1.1
Mystery game puzzles18.0%Not measuredOnly Kimi K2.6 measured
EBR-bench2.4%Not measuredOnly Kimi K2.6 measured
LMArena Text: hard prompts14701485Muse Spark 1.1
LMArena Text: expert14911478Kimi K2.6
LMArena Text: hard prompts in English14711480Muse Spark 1.1
LMArena Vision: diagrams12981305Muse Spark 1.1
LMArena Vision: homework13101287Kimi K2.6
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
OTIS Mock AIME96.1%Not measuredOnly Kimi K2.6 measured
FrontierMath, tiers 1 to 357.2%Not measuredOnly Kimi K2.6 measured
FrontierMath, tier 425.6%Not measuredOnly Kimi K2.6 measured
ProofBench16.0%39.0%Muse Spark 1.1
LMArena Text: math14741482Muse Spark 1.1
LMArena Text: mathematical work14801487Muse Spark 1.1
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index010
Knowledge benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
MMLU Pro87.6%88.7%Muse Spark 1.1
LegalBench (Vals AI)84.7%85.0%Muse Spark 1.1
CaseLaw (Vals AI)61.2%Not measuredOnly Kimi K2.6 measured
CorpFin (Vals AI)66.7%71.3%Muse Spark 1.1
TaxEval (Vals AI)74.7%79.7%Muse Spark 1.1
MortgageTax (Vals AI)65.8%66.1%Muse Spark 1.1
MedCode (Vals AI)40.1%Not measuredOnly Kimi K2.6 measured
SimpleQA Verified34.9%57.8%Muse Spark 1.1
LMArena Text: science14681484Muse Spark 1.1
LMArena Text: medicine and healthcare14571479Muse Spark 1.1
LMArena Text: legal and government14621481Muse Spark 1.1
LMArena Text: business and finance14451470Muse Spark 1.1
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index17
Web design benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
Design Arena: websites12691270Muse Spark 1.1
Design Arena: UI components12641287Muse Spark 1.1
Design Arena: game dev12501269Muse Spark 1.1
Design Arena: data viz12491267Muse Spark 1.1
Design Arena: 3D12671259Kimi K2.6
Design Arena: all code categories12711276Muse Spark 1.1
Design Arena: SVG11801234Muse Spark 1.1
Design Arena: ASCII art11651269Muse Spark 1.1
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index625
General benchmarks for Kimi K2.6 and Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)56.6%61.3%Muse Spark 1.1
SAGE (Vals AI)50.2%45.6%Kimi K2.6
MedScribe (Vals AI)78.2%88.9%Muse Spark 1.1
Vals Multimodal Index56.4%66.7%Muse Spark 1.1
IFBench76.0%Not measuredOnly Kimi K2.6 measured
Long context reasoning (AA-LCR)81.0%77.7%Kimi K2.6
DTBench90.9%94.4%Muse Spark 1.1
LMCA37.3%49.9%Muse Spark 1.1
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
Furniture assembly21.7%Not measuredOnly Kimi K2.6 measured
ExploitBench18.4%Not measuredOnly Kimi K2.6 measured
LMArena Text14551478Muse Spark 1.1
LMArena Text: instruction following14511457Muse Spark 1.1
LMArena Text: creative writing14341435Muse Spark 1.1
LMArena Vision12821293Muse Spark 1.1
LMArena Text: English14601478Muse Spark 1.1
LMArena Text: non-English14461471Muse Spark 1.1
LMArena Text: Chinese15201515Kimi K2.6
LMArena Text: German14511469Muse Spark 1.1
LMArena Text: Japanese14431450Muse Spark 1.1
LMArena Text: Korean14271459Muse Spark 1.1
LMArena Text: French14711492Muse Spark 1.1
LMArena Text: Spanish14641464Kimi K2.6
LMArena Text: Russian14461482Muse Spark 1.1
LMArena Text: Polish14381499Muse Spark 1.1
LMArena Text: multi-turn14531484Muse Spark 1.1
LMArena Text: longer queries14681462Kimi K2.6
LMArena Text: writing and language14391448Muse Spark 1.1
LMArena Text: entertainment and media14281438Muse Spark 1.1
LMArena Vision: English12871292Muse Spark 1.1
LMArena Vision: Chinese13461348Muse Spark 1.1
LMArena Vision: reading text12911301Muse Spark 1.1
LMArena Vision: humor12801288Muse Spark 1.1
LMArena Vision: creative writing12731253Kimi K2.6
LMArena Document14511465Muse Spark 1.1
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 Muse Spark 1.1
BenchmarkKimi K2.6Muse Spark 1.1Leader
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
Muse Spark 1.1$0.0034Fits in one request

Kimi K2.6 costs less

Repository review

50K input + 3K output tokens

Kimi K2.6$0.059Fits in one request
Muse Spark 1.1$0.075Fits in one request

Kimi K2.6 costs less

Agent loop

200K input + 10K output tokens

Kimi K2.6$0.230Fits in one request
Muse Spark 1.1$0.292Fits in one request

Kimi K2.6 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 Muse Spark 1.1
SpecificationMoonshotAI Kimi K2.6Meta Muse Spark 1.1
MakerMoonshot AIMeta
WeightsOpen weightsNo public weights listed
ReleasedApril 20, 2026July 16, 2026
Context window262K1.05M
Input $/Mtok$0.95$1.25
Output $/Mtok$4.00$4.25
Coding index52.170.3
Independent measurements behind it33
Cost per solved task$0.35$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.6 better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 70.3 on the Vibe Coding Index against 52.1 for Kimi K2.6. Pick Kimi K2.6 for output tokens 1.1x cheaper ($4.00 vs $4.25 per million) and a lower cost per solved task ($0.35 against $0.43).

Which is cheaper, Kimi K2.6 or Muse Spark 1.1?

Kimi K2.6 costs $0.95 per million input tokens and $4.00 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Kimi K2.6 costs $0.35 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Kimi K2.6 or Muse Spark 1.1?

Muse Spark 1.1, with 1.05M tokens against 262K.

How many benchmarks is the Kimi K2.6 vs Muse Spark 1.1 comparison based on?

92 benchmarks have a result for both models as of October 22, 2026. Kimi K2.6's coding index rests on 3 independent benchmarks and Muse Spark 1.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/kimi-k2-6-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Kimi K2.6 vs Muse Spark 1.1</a></p>