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Kimi K2.7 Code vs Muse Spark 1.1

Updated October 21, 2026. 40 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Kimi K2.7 CodeMoonshot AI
Coding
39.1
Overall
25.8
Output $/M
$3.35
4
Muse Spark 1.1Meta
Coding
48.9
Overall
33.7
Output $/M
$4.25
35
vs boards won of 40 shared, 1 tied

Decision reading

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code.

Pick Kimi K2.7 Code when output tokens cost 1.3x less, or when a solved task costs $0.35 against $0.43.

Shared results
40
Kimi K2.7 Code only
11
Muse Spark 1.1 only
56
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 K2.7 Code 39.1 from 1 benchmark, Muse Spark 1.1 48.9 from 1 benchmark.
Widest category
Knowledge, 21.3 points apart on average over 1 shared benchmark.
Widest single gap
Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against Muse Spark 1.1 72.2%, 24.9 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $3.35 against Muse Spark 1.1 $4.25 per million output tokens, 1.3x apart.
Context window
Kimi K2.7 Code 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 K2.7 CodeBarsMuse Spark 1.1Ties
Coding0121 tie
Intelligence02
Agentic work38
Reasoning03
Knowledge01
Web design08
General11
All shared boards4351 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
Coding benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
LMArena WebDev14741542Muse Spark 1.1
AA Coding Index60.871.3Muse Spark 1.1
LiveCodeBench (Vals AI)82.0%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)78.2%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)47.2%72.2%Muse Spark 1.1
Code migration (Vals AI)25.4%31.1%Muse Spark 1.1
ProgramBench (Vals AI)0.0%0.0%Tie
Terminal-Bench 2.1 (Vals AI)67.0%69.3%Muse Spark 1.1
SkillsBench (Vals AI)50.0%59.2%Muse Spark 1.1
SciCode47.8%58.8%Muse Spark 1.1
Terminal-Bench Hard (Artificial Analysis run)44.7%Not measuredOnly Kimi K2.7 Code measured
FrontierCode30.1%Not measuredOnly Kimi K2.7 Code measured
WeirdML54.1%Not measuredOnly Kimi K2.7 Code measured
ALE-Bench886.2Not measuredOnly Kimi K2.7 Code measured
LMArena Text: codingNot measured1498Only Muse Spark 1.1 measured
LMArena Text: software and ITNot measured1498Only Muse Spark 1.1 measured
LMArena WebDev: React14751532Muse Spark 1.1
LMArena WebDev: HTML14511540Muse Spark 1.1
LMArena WebDev: from an image15131540Muse Spark 1.1
Neither model has a result on the other 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
AA Intelligence Index25.833.7Muse Spark 1.1
Epoch Capabilities Index150.1154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index38
Agentic work benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
AA Agentic Index21.025.8Muse Spark 1.1
Design Arena: agents building web apps11761207Muse Spark 1.1
Design Arena: agents building full-stack apps11751199Muse Spark 1.1
Design Arena: agents building mobile apps11431177Muse Spark 1.1
Design Arena: agents building Android apps11431184Muse Spark 1.1
Design Arena: agents building Godot games11471103Kimi K2.7 Code
Design Arena: agents building games11301183Muse Spark 1.1
Design Arena: HTML slides12011194Kimi K2.7 Code
Design Arena: PowerPoint slides11541156Muse Spark 1.1
Design Arena: spreadsheetsNot measured974Only Muse Spark 1.1 measured
Finance Agent (Vals AI)Not measured57.2%Only Muse Spark 1.1 measured
Legal Research Bench (Vals AI)Not measured38.0%Only Muse Spark 1.1 measured
Excel Modeling Benchmark (Vals AI)Not measured56.4%Only Muse Spark 1.1 measured
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom90.1%Not measuredOnly Kimi K2.7 Code measured
APEX-Agents37.6%31.8%Kimi K2.7 Code
Vending-Bench 2$5,083$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 index03
Reasoning benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
GPQA DiamondNot measured91.2%Only Muse Spark 1.1 measured
MMMU Pro (Vals AI)Not measured86.6%Only Muse Spark 1.1 measured
GPQA Diamond (Artificial Analysis run)89.6%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)35.0%46.2%Muse Spark 1.1
GPQA Diamond (Epoch AI run)87.9%Not measuredOnly Kimi K2.7 Code measured
SimpleBench57.9%Not measuredOnly Kimi K2.7 Code measured
Chess puzzles14.0%34.0%Muse Spark 1.1
LMArena Text: hard promptsNot measured1485Only Muse Spark 1.1 measured
LMArena Text: expertNot measured1478Only Muse Spark 1.1 measured
LMArena Text: hard prompts in EnglishNot measured1480Only Muse Spark 1.1 measured
LMArena Vision: diagramsNot measured1305Only Muse Spark 1.1 measured
LMArena Vision: homeworkNot measured1287Only Muse Spark 1.1 measured
Neither model has a result on the other 9 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
OTIS Mock AIME95.6%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tiers 1 to 354.0%Not measuredOnly Kimi K2.7 Code measured
FrontierMath, tier 412.2%Not measuredOnly Kimi K2.7 Code measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: mathNot measured1482Only Muse Spark 1.1 measured
LMArena Text: mathematical workNot measured1487Only Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
Knowledge benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
MMLU ProNot measured88.7%Only Muse Spark 1.1 measured
LegalBench (Vals AI)Not measured85.0%Only Muse Spark 1.1 measured
CorpFin (Vals AI)Not measured71.3%Only Muse Spark 1.1 measured
TaxEval (Vals AI)Not measured79.7%Only Muse Spark 1.1 measured
MortgageTax (Vals AI)Not measured66.1%Only Muse Spark 1.1 measured
SimpleQA Verified36.5%57.8%Muse Spark 1.1
LMArena Text: scienceNot measured1484Only Muse Spark 1.1 measured
LMArena Text: medicine and healthcareNot measured1479Only Muse Spark 1.1 measured
LMArena Text: legal and governmentNot measured1481Only Muse Spark 1.1 measured
LMArena Text: business and financeNot measured1470Only Muse Spark 1.1 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
Design Arena: websites12641270Muse Spark 1.1
Design Arena: UI components12591290Muse Spark 1.1
Design Arena: game dev12201269Muse Spark 1.1
Design Arena: data viz12261268Muse Spark 1.1
Design Arena: 3D12411260Muse Spark 1.1
Design Arena: all code categories12531276Muse Spark 1.1
Design Arena: SVG11761234Muse Spark 1.1
Design Arena: ASCII art11961270Muse 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 index11
General benchmarks for Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)Not measured45.6%Only Muse Spark 1.1 measured
MedScribe (Vals AI)Not measured88.9%Only Muse Spark 1.1 measured
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%77.7%Kimi K2.7 Code
DTBenchNot measured94.4%Only Muse Spark 1.1 measured
LMCANot measured49.9%Only Muse Spark 1.1 measured
Surface Evolver Bench48.8%52.5%Muse Spark 1.1
LMArena TextNot measured1478Only Muse Spark 1.1 measured
LMArena Text: instruction followingNot measured1457Only Muse Spark 1.1 measured
LMArena Text: creative writingNot measured1435Only Muse Spark 1.1 measured
LMArena VisionNot measured1293Only Muse Spark 1.1 measured
LMArena Text: EnglishNot measured1478Only Muse Spark 1.1 measured
LMArena Text: non-EnglishNot measured1471Only Muse Spark 1.1 measured
LMArena Text: ChineseNot measured1515Only Muse Spark 1.1 measured
LMArena Text: GermanNot measured1469Only Muse Spark 1.1 measured
LMArena Text: JapaneseNot measured1450Only Muse Spark 1.1 measured
LMArena Text: KoreanNot measured1459Only Muse Spark 1.1 measured
LMArena Text: FrenchNot measured1492Only Muse Spark 1.1 measured
LMArena Text: SpanishNot measured1464Only Muse Spark 1.1 measured
LMArena Text: RussianNot measured1482Only Muse Spark 1.1 measured
LMArena Text: PolishNot measured1499Only Muse Spark 1.1 measured
LMArena Text: multi-turnNot measured1484Only Muse Spark 1.1 measured
LMArena Text: longer queriesNot measured1462Only Muse Spark 1.1 measured
LMArena Text: writing and languageNot measured1448Only Muse Spark 1.1 measured
LMArena Text: entertainment and mediaNot measured1438Only Muse Spark 1.1 measured
LMArena Vision: EnglishNot measured1292Only Muse Spark 1.1 measured
LMArena Vision: ChineseNot measured1348Only Muse Spark 1.1 measured
LMArena Vision: reading textNot measured1301Only Muse Spark 1.1 measured
LMArena Vision: humorNot measured1288Only Muse Spark 1.1 measured
LMArena Vision: creative writingNot measured1253Only Muse Spark 1.1 measured
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
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 Kimi K2.7 Code and Muse Spark 1.1
BenchmarkKimi K2.7 CodeMuse 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 K2.7 Code$0.0023Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Kimi K2.7 Code costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.044Fits in one request
Muse Spark 1.1$0.075Fits in one request

Kimi K2.7 Code costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.168Fits in one request
Muse Spark 1.1$0.292Fits in one request

Kimi K2.7 Code 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 K2.7 Code and Muse Spark 1.1
SpecificationMoonshotAI Kimi K2.7 CodeMeta Muse Spark 1.1
MakerMoonshot AIMeta
WeightsOpen weightsNo public weights listed
ReleasedJune 12, 2026July 16, 2026
Context window262K1.05M
Input $/Mtok$0.6712$1.25
Output $/Mtok$3.35$4.25
Coding index39.148.9
Independent measurements behind it11
Cost per solved task$0.35$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Muse Spark 1.1 for coding?

Pick Muse Spark 1.1 for coding: it scores 48.9 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code. Pick Kimi K2.7 Code when output tokens cost 1.3x less, or when a solved task costs $0.35 against $0.43.

Which is cheaper, Kimi K2.7 Code or Muse Spark 1.1?

Kimi K2.7 Code costs $0.6712 per million input tokens and $3.35 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Kimi K2.7 Code costs $0.35 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Kimi K2.7 Code or Muse Spark 1.1?

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

How many benchmarks is the Kimi K2.7 Code vs Muse Spark 1.1 comparison based on?

40 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 1 independent benchmark and Muse Spark 1.1's on 1. Where only one model has a result, the page says so instead of naming a winner.

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