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Kimi K2.7 Code vs Muse Spark 1.2 Contributor

Updated October 21, 2026. 0 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
53.4
Overall
25.8
Output $/M
$4.00
Muse Spark 1.2 ContributorMeta
Coding
No data
Overall
No data
Output $/M
$0.20
vs $4.00 vs $0.20 per 1M output tokens. Muse Spark 1.2 Contributor is 20.0x cheaper.

Decision reading

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Muse Spark 1.2 Contributor has none, so the two cannot be ranked on coding.

Muse Spark 1.2 Contributor has the edge where output tokens cost 20.0x less, and where the context window is larger, 1.05M against 262K tokens.

Shared results
0
Kimi K2.7 Code only
51
Muse Spark 1.2 Contributor only
0
Like-for-like categories
0 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 53.4 from 4 benchmarks, Muse Spark 1.2 Contributor not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
Kimi K2.7 Code $4.00 against Muse Spark 1.2 Contributor $0.20 per million output tokens, 20.0x apart.
Context window
Kimi K2.7 Code takes 262K tokens, Muse Spark 1.2 Contributor 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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index17 boards, none shared
Coding benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
LMArena WebDev1474Not measuredOnly Kimi K2.7 Code measured
AA Coding Index60.8Not measuredOnly Kimi K2.7 Code measured
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
Vibe Code Bench (Vals AI)47.2%Not measuredOnly Kimi K2.7 Code measured
Code migration (Vals AI)25.4%Not measuredOnly Kimi K2.7 Code measured
ProgramBench (Vals AI)0.0%Not measuredOnly Kimi K2.7 Code measured
Terminal-Bench 2.1 (Vals AI)67.0%Not measuredOnly Kimi K2.7 Code measured
SkillsBench (Vals AI)50.0%Not measuredOnly Kimi K2.7 Code measured
SciCode47.8%Not measuredOnly Kimi K2.7 Code measured
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 WebDev: React1475Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: HTML1451Not measuredOnly Kimi K2.7 Code measured
LMArena WebDev: from an image1513Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 21 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
AA Intelligence Index25.8Not measuredOnly Kimi K2.7 Code measured
Epoch Capabilities Index150.1Not measuredOnly Kimi K2.7 Code measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
AA Agentic Index21.0Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building web apps1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building full-stack apps1175Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building mobile apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Android apps1143Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building Godot games1147Not measuredOnly Kimi K2.7 Code measured
Design Arena: agents building games1131Not measuredOnly Kimi K2.7 Code measured
Design Arena: HTML slides1201Not measuredOnly Kimi K2.7 Code measured
Design Arena: PowerPoint slides1154Not measuredOnly Kimi K2.7 Code measured
τ²-Bench Telecom90.1%Not measuredOnly Kimi K2.7 Code measured
APEX-Agents37.6%Not measuredOnly Kimi K2.7 Code measured
Vending-Bench 2$5,083Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Reasoning benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Kimi K2.7 Code measured
Humanity's Last Exam (Artificial Analysis run)35.0%Not measuredOnly Kimi K2.7 Code measured
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%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
Math benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
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
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
SimpleQA Verified36.5%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 16 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
Design Arena: websites1264Not measuredOnly Kimi K2.7 Code measured
Design Arena: UI components1259Not measuredOnly Kimi K2.7 Code measured
Design Arena: game dev1220Not measuredOnly Kimi K2.7 Code measured
Design Arena: data viz1227Not measuredOnly Kimi K2.7 Code measured
Design Arena: 3D1241Not measuredOnly Kimi K2.7 Code measured
Design Arena: all code categories1253Not measuredOnly Kimi K2.7 Code measured
Design Arena: SVG1176Not measuredOnly Kimi K2.7 Code measured
Design Arena: ASCII art1196Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
General benchmarks for Kimi K2.7 Code and Muse Spark 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
IFBench63.1%Not measuredOnly Kimi K2.7 Code measured
Long context reasoning (AA-LCR)79.3%Not measuredOnly Kimi K2.7 Code measured
Surface Evolver Bench48.8%Not measuredOnly Kimi K2.7 Code measured
Neither model has a result on the other 43 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 1.2 Contributor
BenchmarkKimi K2.7 CodeMuse Spark 1.2 ContributorLeader
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 1.2 Contributor$0.0002Fits in one request

Muse Spark 1.2 Contributor costs less

Repository review

50K input + 3K output tokens

Kimi K2.7 Code$0.059Fits in one request
Muse Spark 1.2 Contributor$0.0056Fits in one request

Muse Spark 1.2 Contributor costs less

Agent loop

200K input + 10K output tokens

Kimi K2.7 Code$0.230Fits in one request
Muse Spark 1.2 Contributor$0.022Fits in one request

Muse Spark 1.2 Contributor 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 1.2 Contributor
SpecificationMoonshotAI Kimi K2.7 CodeMeta Muse Spark 1.2 Contributor
MakerMoonshot AIMeta
WeightsOpen weightsNo public weights listed
ReleasedJune 12, 2026August 21, 2026
Context window262K1.05M
Input $/Mtok$0.95$0.10
Output $/Mtok$4.00$0.20
Coding index53.4Not benchmarked
Independent measurements behind it40
Cost per solved task$0.35Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2.7 Code better than Muse Spark 1.2 Contributor for coding?

Only Kimi K2.7 Code has a coding score, 53.4 on the Vibe Coding Index; Muse Spark 1.2 Contributor has none, so the two cannot be ranked on coding. Muse Spark 1.2 Contributor has the edge where output tokens cost 20.0x less, and where the context window is larger, 1.05M against 262K tokens.

Which is cheaper, Kimi K2.7 Code or Muse Spark 1.2 Contributor?

Kimi K2.7 Code costs $0.95 per million input tokens and $4.00 per million output tokens; Muse Spark 1.2 Contributor costs $0.10 and $0.20. 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 1.2 Contributor?

Muse Spark 1.2 Contributor, with 1.05M tokens against 262K.

How many benchmarks is the Kimi K2.7 Code vs Muse Spark 1.2 Contributor comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. Kimi K2.7 Code's coding index rests on 4 independent benchmarks and Muse Spark 1.2 Contributor's on 0. Where only one model has a result, the page says so instead of naming a winner.

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