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Kimi K2.5 vs Muse Spark 1.1

Muse Spark 1.1 leads Kimi K2.5 on coding, 70.3 to 38.6 on the Vibe Coding Index, and Kimi K2.5 costs 1.5x less per output token ($2.85 vs $4.25 per million). Updated October 22, 2026; 77 benchmarks have a result for both.

Kimi K2.5Moonshot AI
Coding
38.6
Overall
44.8
Output $/M
$2.85
6
Muse Spark 1.1Meta
Coding
70.3
Overall
67.0
Output $/M
$4.25
71
vs boards won of 77 shared

Kimi K2.5 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 38.6 for Kimi K2.5.

Pick Kimi K2.5 for output tokens 1.5x cheaper ($2.85 vs $4.25 per million) and a lower cost per solved task ($0.24 against $0.43).

Shared results
77
Kimi K2.5 only
22
Muse Spark 1.1 only
19
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 K2.5 38.6 from 3 benchmarks, Muse Spark 1.1 70.3 from 3 benchmarks.
Widest category
Coding, 18.3 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Kimi K2.5 17.5% against Muse Spark 1.1 72.2%, 54.6 points apart on a 0 to 100 scale.
Output price
Kimi K2.5 $2.85 against Muse Spark 1.1 $4.25 per million output tokens, 1.5x apart.
Context window
Kimi K2.5 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 K2.5BarsMuse Spark 1.1Ties
Coding012
Intelligence02
Agentic work18
Reasoning18
Math02
Knowledge18
Web design08
General323
All shared boards671
CodingLike-for-likeSix of these boards feed the Vibe Coding Index012
Coding benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
SWE-bench Verified70.8%Not measuredOnly Kimi K2.5 measured
SWE-bench Multilingual67.3%Not measuredOnly Kimi K2.5 measured
LMArena WebDev14371542Muse Spark 1.1
AA Coding Index46.871.3Muse Spark 1.1
LiveCodeBench (Vals AI)83.9%85.9%Muse Spark 1.1
SWE-bench Verified (Vals AI)70.0%82.0%Muse Spark 1.1
Vibe Code Bench (Vals AI)17.5%72.2%Muse Spark 1.1
Code migration (Vals AI)7.0%31.1%Muse Spark 1.1
ProgramBench (Vals AI)Not measured0.0%Only Muse Spark 1.1 measured
Terminal-Bench 2.1 (Vals AI)42.0%69.3%Muse Spark 1.1
SkillsBench (Vals AI)Not measured59.2%Only Muse Spark 1.1 measured
SciCodeNot measured58.8%Only Muse Spark 1.1 measured
Terminal-Bench Hard (Artificial Analysis run)34.8%Not measuredOnly Kimi K2.5 measured
Terminal-Bench43.2%Not measuredOnly Kimi K2.5 measured
WeirdML45.6%Not measuredOnly Kimi K2.5 measured
ALE-Bench821.6Not measuredOnly Kimi K2.5 measured
LMArena Text: coding14831498Muse Spark 1.1
LMArena Text: software and IT14711498Muse Spark 1.1
LMArena WebDev: React14291532Muse Spark 1.1
LMArena WebDev: HTML14261540Muse Spark 1.1
LMArena WebDev: from an image14391540Muse Spark 1.1
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
AA Intelligence Index23.533.7Muse Spark 1.1
Epoch Capabilities Index148.1154.1Muse Spark 1.1
Agentic workLike-for-likePublic boards, shown as published, kept out of the index18
Agentic work benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
AA Agentic IndexNot measured25.8Only Muse Spark 1.1 measured
Design Arena: agents building web apps11361207Muse Spark 1.1
Design Arena: agents building full-stack apps11141199Muse Spark 1.1
Design Arena: agents building mobile apps11471175Muse Spark 1.1
Design Arena: agents building Android apps11181178Muse Spark 1.1
Design Arena: agents building Godot games12191103Kimi K2.5
Design Arena: agents building gamesNot measured1183Only Muse Spark 1.1 measured
Design Arena: HTML slidesNot measured1195Only Muse Spark 1.1 measured
Design Arena: PowerPoint slidesNot measured1155Only Muse Spark 1.1 measured
Design Arena: spreadsheetsNot measured1042Only Muse Spark 1.1 measured
Finance Agent (Vals AI)35.8%57.2%Muse Spark 1.1
Legal Research Bench (Vals AI)15.9%38.0%Muse Spark 1.1
Excel Modeling Benchmark (Vals AI)28.5%56.4%Muse Spark 1.1
Time Horizon Index (Vals AI)Not measured1.7%Only Muse Spark 1.1 measured
τ²-Bench Telecom95.9%Not measuredOnly Kimi K2.5 measured
APEX-AgentsNot measured31.8%Only Muse Spark 1.1 measured
OSWorld63.3%Not measuredOnly Kimi K2.5 measured
Vending-Bench 2$1,198$6,520Muse Spark 1.1
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index18
Reasoning benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
GPQA Diamond84.1%91.2%Muse Spark 1.1
MMMU Pro (Vals AI)84.3%86.6%Muse Spark 1.1
GPQA Diamond (Artificial Analysis run)87.9%89.8%Muse Spark 1.1
Humanity's Last Exam (Artificial Analysis run)30.7%46.2%Muse Spark 1.1
ARC-AGI65.3%Not measuredOnly Kimi K2.5 measured
ARC-AGI-211.8%Not measuredOnly Kimi K2.5 measured
SimpleBench46.8%Not measuredOnly Kimi K2.5 measured
Chess puzzlesNot measured34.0%Only Muse Spark 1.1 measured
LMArena Text: hard prompts14531485Muse Spark 1.1
LMArena Text: expert14661478Muse Spark 1.1
LMArena Text: hard prompts in English14601480Muse Spark 1.1
LMArena Vision: diagrams12821305Muse Spark 1.1
LMArena Vision: homework12971287Kimi K2.5
Kagi LLM Benchmark78.5%Not measuredOnly Kimi K2.5 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
AIME95.6%Not measuredOnly Kimi K2.5 measured
ProofBenchNot measured39.0%Only Muse Spark 1.1 measured
LMArena Text: math14701482Muse Spark 1.1
LMArena Text: mathematical work14731487Muse Spark 1.1
Neither model has a result on the other 9 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
Knowledge benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
MMLU Pro85.9%88.7%Muse Spark 1.1
LegalBench (Vals AI)Not measured85.0%Only Muse Spark 1.1 measured
CaseLaw (Vals AI)58.7%Not measuredOnly Kimi K2.5 measured
CorpFin (Vals AI)68.3%71.3%Muse Spark 1.1
TaxEval (Vals AI)74.2%79.7%Muse Spark 1.1
MortgageTax (Vals AI)66.5%66.1%Kimi K2.5
MedQA (Vals AI)94.4%Not measuredOnly Kimi K2.5 measured
MedCode (Vals AI)39.3%Not measuredOnly Kimi K2.5 measured
SimpleQA Verified34.3%57.8%Muse Spark 1.1
LMArena Text: science14591484Muse Spark 1.1
LMArena Text: medicine and healthcare14481479Muse Spark 1.1
LMArena Text: legal and government14411481Muse Spark 1.1
LMArena Text: business and finance14271470Muse Spark 1.1
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
Design Arena: websites12481270Muse Spark 1.1
Design Arena: UI components12341289Muse Spark 1.1
Design Arena: game dev12061269Muse Spark 1.1
Design Arena: data viz12191268Muse Spark 1.1
Design Arena: 3D12041260Muse Spark 1.1
Design Arena: all code categories12361276Muse Spark 1.1
Design Arena: SVG11491235Muse Spark 1.1
Design Arena: ASCII art11661271Muse 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 index323
General benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse Spark 1.1Leader
Public Benefits Bench (Vals AI)Not measured61.3%Only Muse Spark 1.1 measured
SAGE (Vals AI)49.9%45.6%Kimi K2.5
MedScribe (Vals AI)76.4%88.9%Muse Spark 1.1
Vals Multimodal IndexNot measured66.7%Only Muse Spark 1.1 measured
IFBench70.2%Not measuredOnly Kimi K2.5 measured
Long context reasoning (AA-LCR)78.0%77.7%Kimi K2.5
DTBenchNot measured94.4%Only Muse Spark 1.1 measured
LMCANot measured49.9%Only Muse Spark 1.1 measured
Fiction.LiveBench86.1%Not measuredOnly Kimi K2.5 measured
CL-bench19.3%Not measuredOnly Kimi K2.5 measured
Surface Evolver BenchNot measured52.5%Only Muse Spark 1.1 measured
CL-bench Life13.2%Not measuredOnly Kimi K2.5 measured
LMArena Text14451478Muse Spark 1.1
LMArena Text: instruction following14311457Muse Spark 1.1
LMArena Text: creative writing14221435Muse Spark 1.1
LMArena Vision12691293Muse Spark 1.1
LMArena Text: English14531478Muse Spark 1.1
LMArena Text: non-English14331471Muse Spark 1.1
LMArena Text: Chinese14941515Muse Spark 1.1
LMArena Text: German14411469Muse Spark 1.1
LMArena Text: Japanese14231450Muse Spark 1.1
LMArena Text: Korean14121459Muse Spark 1.1
LMArena Text: French14541492Muse Spark 1.1
LMArena Text: Spanish14501464Muse Spark 1.1
LMArena Text: Russian14351482Muse Spark 1.1
LMArena Text: Polish14451499Muse Spark 1.1
LMArena Text: multi-turn14441484Muse Spark 1.1
LMArena Text: longer queries14451462Muse Spark 1.1
LMArena Text: writing and language14251448Muse Spark 1.1
LMArena Text: entertainment and media14171438Muse Spark 1.1
LMArena Vision: English12741292Muse Spark 1.1
LMArena Vision: Chinese13281348Muse Spark 1.1
LMArena Vision: reading text12761301Muse Spark 1.1
LMArena Vision: humor12841288Muse Spark 1.1
LMArena Vision: captioning1257Not measuredOnly Kimi K2.5 measured
LMArena Vision: recognizing things1285Not measuredOnly Kimi K2.5 measured
LMArena Vision: creative writing12691253Kimi K2.5
LMArena DocumentNot measured1465Only Muse Spark 1.1 measured
Neither model has a result on the other 8 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Kimi K2.5 and Muse Spark 1.1
BenchmarkKimi K2.5Muse 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 K2.5$0.0020Fits in one request
Muse Spark 1.1$0.0034Fits in one request

Kimi K2.5 costs less

Repository review

50K input + 3K output tokens

Kimi K2.5$0.035Fits in one request
Muse Spark 1.1$0.075Fits in one request

Kimi K2.5 costs less

Agent loop

200K input + 10K output tokens

Kimi K2.5$0.135Fits in one request
Muse Spark 1.1$0.292Fits in one request

Kimi K2.5 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 K2.5 and Muse Spark 1.1
SpecificationMoonshotAI Kimi K2.5Meta Muse Spark 1.1
MakerMoonshot AIMeta
WeightsOpen weightsNo public weights listed
ReleasedJanuary 27, 2026July 16, 2026
Context window262K1.05M
Input $/Mtok$0.532$1.25
Output $/Mtok$2.85$4.25
Coding index38.670.3
Independent measurements behind it33
Cost per solved task$0.24$0.43
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.5 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 38.6 for Kimi K2.5. Pick Kimi K2.5 for output tokens 1.5x cheaper ($2.85 vs $4.25 per million) and a lower cost per solved task ($0.24 against $0.43).

Which is cheaper, Kimi K2.5 or Muse Spark 1.1?

Kimi K2.5 costs $0.532 per million input tokens and $2.85 per million output tokens; Muse Spark 1.1 costs $1.25 and $4.25. Per solved SWE-bench Verified task, Kimi K2.5 costs $0.24 and Muse Spark 1.1 $0.43.

Which has the bigger context window, Kimi K2.5 or Muse Spark 1.1?

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

How many benchmarks is the Kimi K2.5 vs Muse Spark 1.1 comparison based on?

77 benchmarks have a result for both models as of October 22, 2026. Kimi K2.5'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-k2-5-vs-meta-muse-spark-1-1">LLMBenchmark.ai, Kimi K2.5 vs Muse Spark 1.1</a></p>