Enter opens the highlighted result. Esc closes.

Kimi K2.7 Code vs Muse Spark 1.3

Muse Spark 1.3 leads Kimi K2.7 Code on coding, 57.4 to 53.4 on the Vibe Coding Index, at about the same output price ($4.25 vs $4.00 per million). Updated October 22, 2026; 35 benchmarks have a result for both.

Replace Kimi K2.7 Code Replace Muse Spark 1.3
Kimi K2.7 CodeMoonshot AI
Coding
53.4
Overall
56.7
Output $/M
$4.00
0
Muse Spark 1.3Meta
Coding
57.4
Overall
68.6
Output $/M
$4.25
35
vs boards won of 35 shared

Kimi K2.7 Code or Muse Spark 1.3: which to pick

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code.

Pick Kimi K2.7 Code for output tokens 1.1x cheaper ($4.00 vs $4.25 per million).

Model AKimi K2.7 CodeMoonshot AI53.4/1004 independent benchmarks$0.35 per solved taskModel BMuse Spark 1.3Meta57.4/1004 independent benchmarksNo cost per solved task
Shared results
35
Kimi K2.7 Code only
16
Muse Spark 1.3 only
57
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 K2.7 Code 53.4 from 4 benchmarks, Muse Spark 1.3 57.4 from 4 benchmarks.
Widest category
Math, 19.4 points apart on average over 3 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Kimi K2.7 Code 47.2% against Muse Spark 1.3 82.9%, 35.6 points apart on a 0 to 100 scale.
Output price
Kimi K2.7 Code $4.00 against Muse Spark 1.3 $4.25 per million output tokens, 1.1x apart.
Context window
Kimi K2.7 Code takes 262K tokens, Muse Spark 1.3 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 1.3Ties
Coding011
Intelligence02
Agentic work07
Reasoning03
Math03
Web design08
General01
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index011
Coding benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
LiveBench codingNot measured90.2%Only Muse Spark 1.3 measured
LMArena WebDev14741659Muse Spark 1.3
AA Coding Index60.875.8Muse Spark 1.3
LiveCodeBench (Vals AI)82.0%Not measuredOnly Kimi K2.7 Code measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench 4 (Vals AI)Not measured10.6%Only Muse Spark 1.3 measured
Vibe Code Bench (Vals AI)47.2%82.9%Muse Spark 1.3
Code migration (Vals AI)25.4%27.6%Muse Spark 1.3
ProgramBench (Vals AI)0.0%0.5%Muse Spark 1.3
IOI (Vals AI)Not measured43.9%Only Muse Spark 1.3 measured
Terminal-Bench 2.1 (Vals AI)67.0%72.3%Muse Spark 1.3
SkillsBench (Vals AI)50.0%Not measuredOnly Kimi K2.7 Code measured
CyberBench (Vals AI)Not measured69.4%Only Muse Spark 1.3 measured
SciCode47.8%59.7%Muse Spark 1.3
Terminal-Bench Hard (Artificial Analysis run)44.7%Not measuredOnly Kimi K2.7 Code measured
FrontierCode30.1%Not measuredOnly Kimi K2.7 Code measured
FrontierSWENot measured25.8%Only Muse Spark 1.3 measured
WeirdML54.1%Not measuredOnly Kimi K2.7 Code measured
ALE-Bench886.21688.3Muse Spark 1.3
LMArena Text: codingNot measured1510Only Muse Spark 1.3 measured
LMArena Text: software and ITNot measured1511Only Muse Spark 1.3 measured
LMArena WebDev: React14751672Muse Spark 1.3
LMArena WebDev: HTML14511653Muse Spark 1.3
LMArena WebDev: from an image15131640Muse Spark 1.3
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
AA Intelligence Index25.848.1Muse Spark 1.3
Epoch Capabilities Index150.1157.2Muse Spark 1.3
Agentic workLike-for-likePublic boards, shown as published, kept out of the index07
Agentic work benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
AA Agentic Index21.055.5Muse Spark 1.3
Design Arena: agents building web apps11761297Muse Spark 1.3
Design Arena: agents building full-stack apps11751295Muse Spark 1.3
Design Arena: agents building mobile apps11431218Muse Spark 1.3
Design Arena: agents building Android apps1138Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Godot games11471241Muse Spark 1.3
Design Arena: agents building games1130Not measuredOnly Kimi K2.7 Code measured
Design Arena: HTML slides1151Not measuredOnly Kimi K2.7 Code measured
Design Arena: PowerPoint slides11291219Muse Spark 1.3
Design Arena: spreadsheetsNot measured1062Only Muse Spark 1.3 measured
LiveBench researchNot measured68.6%Only Muse Spark 1.3 measured
LiveBench browserNot measured80.0%Only Muse Spark 1.3 measured
LiveBench long agenticNot measured40.4%Only Muse Spark 1.3 measured
Finance Agent (Vals AI)Not measured58.9%Only Muse Spark 1.3 measured
Tax Agent Bench (Vals AI)Not measured36.0%Only Muse Spark 1.3 measured
Legal Research Bench (Vals AI)Not measured40.9%Only Muse Spark 1.3 measured
Excel Modeling Benchmark (Vals AI)Not measured62.7%Only Muse Spark 1.3 measured
Terminal-Bench-Science (Vals AI)Not measured4.3%Only Muse Spark 1.3 measured
τ²-Bench Telecom90.1%Not measuredOnly Kimi K2.7 Code measured
APEX-Agents37.6%58.6%Muse Spark 1.3
Vending-Bench 2$5,083Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
Reasoning benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
LiveBench reasoningNot measured89.7%Only Muse Spark 1.3 measured
GPQA Diamond (Artificial Analysis run)89.6%94.1%Muse Spark 1.3
Humanity's Last Exam (Artificial Analysis run)35.0%48.7%Muse Spark 1.3
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%37.0%Muse Spark 1.3
Mystery game puzzlesNot measured25.0%Only Muse Spark 1.3 measured
LMArena Text: hard promptsNot measured1503Only Muse Spark 1.3 measured
LMArena Text: expertNot measured1519Only Muse Spark 1.3 measured
LMArena Text: hard prompts in EnglishNot measured1500Only Muse Spark 1.3 measured
LMArena Vision: diagramsNot measured1330Only Muse Spark 1.3 measured
LMArena Vision: homeworkNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
OTIS Mock AIME95.6%99.2%Muse Spark 1.3
FrontierMath, tiers 1 to 354.0%74.4%Muse Spark 1.3
FrontierMath, tier 412.2%46.3%Muse Spark 1.3
ProofBenchNot measured58.0%Only Muse Spark 1.3 measured
LMArena Text: mathNot measured1497Only Muse Spark 1.3 measured
LMArena Text: mathematical workNot measured1491Only Muse Spark 1.3 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Knowledge benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
LMArena Text: scienceNot measured1507Only Muse Spark 1.3 measured
LMArena Text: medicine and healthcareNot measured1493Only Muse Spark 1.3 measured
LMArena Text: legal and governmentNot measured1499Only Muse Spark 1.3 measured
LMArena Text: business and financeNot measured1490Only Muse Spark 1.3 measured
Neither model has a result on the other 13 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 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
Design Arena: websites12631356Muse Spark 1.3
Design Arena: UI components12551349Muse Spark 1.3
Design Arena: game dev12201328Muse Spark 1.3
Design Arena: data viz12271343Muse Spark 1.3
Design Arena: 3D12401358Muse Spark 1.3
Design Arena: all code categories12521352Muse Spark 1.3
Design Arena: SVG11761301Muse Spark 1.3
Design Arena: ASCII art11961278Muse Spark 1.3
LiveBench designNot measured74.8%Only Muse Spark 1.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
General benchmarks for Kimi K2.7 Code and Muse Spark 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
LiveBench data analysisNot measured79.6%Only Muse Spark 1.3 measured
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%83.0%Muse Spark 1.3
DTBenchNot measured96.5%Only Muse Spark 1.3 measured
LMCANot measured53.9%Only Muse Spark 1.3 measured
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
LMArena TextNot measured1490Only Muse Spark 1.3 measured
LMArena Text: instruction followingNot measured1479Only Muse Spark 1.3 measured
LMArena Text: creative writingNot measured1462Only Muse Spark 1.3 measured
LMArena VisionNot measured1308Only Muse Spark 1.3 measured
LMArena Text: EnglishNot measured1495Only Muse Spark 1.3 measured
LMArena Text: non-EnglishNot measured1481Only Muse Spark 1.3 measured
LMArena Text: ChineseNot measured1532Only Muse Spark 1.3 measured
LMArena Text: GermanNot measured1513Only Muse Spark 1.3 measured
LMArena Text: JapaneseNot measured1470Only Muse Spark 1.3 measured
LMArena Text: KoreanNot measured1490Only Muse Spark 1.3 measured
LMArena Text: FrenchNot measured1511Only Muse Spark 1.3 measured
LMArena Text: SpanishNot measured1496Only Muse Spark 1.3 measured
LMArena Text: RussianNot measured1491Only Muse Spark 1.3 measured
LMArena Text: PolishNot measured1490Only Muse Spark 1.3 measured
LMArena Text: multi-turnNot measured1487Only Muse Spark 1.3 measured
LMArena Text: longer queriesNot measured1488Only Muse Spark 1.3 measured
LMArena Text: writing and languageNot measured1470Only Muse Spark 1.3 measured
LMArena Text: entertainment and mediaNot measured1457Only Muse Spark 1.3 measured
LMArena Vision: EnglishNot measured1298Only Muse Spark 1.3 measured
LMArena Vision: ChineseNot measured1384Only Muse Spark 1.3 measured
LMArena Vision: reading textNot measured1319Only Muse Spark 1.3 measured
LMArena Vision: humorNot measured1293Only Muse Spark 1.3 measured
LMArena Vision: creative writingNot measured1296Only Muse Spark 1.3 measured
Neither model has a result on the other 17 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 1.3
BenchmarkKimi K2.7 CodeMuse Spark 1.3Leader
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$0.0029Fits in one request
Muse Spark 1.3$0.0034Fits in one request

Kimi K2.7 Code costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.059Fits in one request
Muse Spark 1.3$0.075Fits in one request

Kimi K2.7 Code costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.230Fits in one request
Muse Spark 1.3$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 1.3
SpecificationMoonshotAI Kimi K2.7 CodeMeta Muse Spark 1.3
MakerMoonshot AIMeta
WeightsOpen weightsNo public weights listed
ReleasedJune 12, 2026September 2, 2026
Context window262K1.05M
Input $/Mtok$0.95$1.25
Output $/Mtok$4.00$4.25
Coding index53.457.4
Independent measurements behind it44
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Muse Spark 1.3 for coding?

Pick Muse Spark 1.3 for coding: it scores 57.4 on the Vibe Coding Index against 53.4 for Kimi K2.7 Code. Pick Kimi K2.7 Code for output tokens 1.1x cheaper ($4.00 vs $4.25 per million).

Which is cheaper, Kimi K2.7 Code or Muse Spark 1.3?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Muse Spark 1.3 costs $1.25 and $4.25. Cost per solved task is known for Kimi K2.7 Code only.

Which has the bigger context window, Kimi K2.7 Code or Muse Spark 1.3?

Muse Spark 1.3, with 1.05M tokens against 262K.

How many benchmarks is the Kimi K2.7 Code vs Muse Spark 1.3 comparison based on?

35 benchmarks have a result for both models as of October 22, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Muse Spark 1.3's on 4. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/kimi-k2-7-code-vs-meta-muse-spark-1-3" title="Kimi K2.7 Code vs Muse Spark 1.3, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/kimi-k2-7-code-vs-meta-muse-spark-1-3">LLMBenchmark.ai, Kimi K2.7 Code vs Muse Spark 1.3</a></p>