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Model comparison

Kimi K2.6 vs Muse Spark

Data verified

Head-to-head evidence from 29 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.

Kimi K2.6
Moonshot AI
74/100
Margin
11.0pts
← winning
63/100
3 category wins2 category wins

Verified leaderboard positions: Kimi K2.6 #13; Muse Spark unranked

Evidence parity. Kimi K2.6 and Muse Spark share 29 comparable benchmark results. 5 of 8 categories are comparable. 31 results are unique to Kimi K2.6; 12 to Muse Spark.

Updated July 13, 2026
Shared results
29
Kimi K2.6 only
31
Muse Spark only
12
Comparable categories
5 / 8

Pick Kimi K2.6 if you want the stronger benchmark profile. Muse Spark only becomes the better choice if knowledge is the priority or you need the larger 262K context window.

Confidence note. This is a partial-evidence comparison with 29 shared benchmark results across 7 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Kimi K2.6 is clearly ahead on the provisional aggregate, 74 to 63. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.6's sharpest advantage is in mathematics, where it averages 67.1 against 32.9. The single biggest benchmark swing on the page is HLE, 34.7% to 50.4%. Muse Spark does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Muse Spark gives you the larger context window at 262K, compared with 256K for Kimi K2.6.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Kimi K2.6 and Muse Spark
CategoryKimi K2.6ΔMuse Spark
MathKimi K2.667.1Margin← 34.2Muse Spark32.9
AgenticKimi K2.673.5Margin← 14.5Muse Spark59.0
CodingKimi K2.672.6Margin← 10.9Muse Spark61.7
KnowledgeKimi K2.642.2Margin→ 8.2Muse Spark50.4
MultimodalKimi K2.679.8Margin→ 2.7Muse Spark82.5
ReasoningKimi K2.6Not measuredMarginNo overlapMuse Spark42.5

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · Kimi K2.6B · Muse Spark

  1. HLE

    Knowledge
    Source ↗
    A 34.7%B 50.4%
    Winner: Muse SparkΔ 15.7
    HLE: Kimi K2.6 scored 34.7%; Muse Spark scored 50.4%. Muse Spark wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 66.7%B 59%
    Winner: Kimi K2.6Δ 7.7
    Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; Muse Spark scored 59%. Kimi K2.6 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 58.6%B 52.4%
    Winner: Kimi K2.6Δ 6.2
    SWE-bench Pro: Kimi K2.6 scored 58.6%; Muse Spark scored 52.4%. Kimi K2.6 wins this benchmark.

  4. CharXiv

    Multimodal
    Source ↗
    A 80.4%B 86.4%
    Winner: Muse SparkΔ 6
    CharXiv: Kimi K2.6 scored 80.4%; Muse Spark scored 86.4%. Muse Spark wins this benchmark.

  5. SWE-bench Verified

    Coding
    Source ↗
    A 80.2%B 77.4%
    Winner: Kimi K2.6Δ 2.8
    SWE-bench Verified: Kimi K2.6 scored 80.2%; Muse Spark scored 77.4%. Kimi K2.6 wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricKimi K2.6Muse SparkComparison
Input / output priceUSD per 1M tokensKimi K2.6$0.95 input / $4 outputMuse SparkNot availableA complete price comparison is not available.
Generation speedtokens per secondKimi K2.6Not availableMuse SparkNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.6Not availableMuse SparkNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.6256KMuse Spark262KMuse Spark lists the larger context window.

Benchmark Deep Dive

AgenticKimi K2.6 wins
BenchmarkKimi K2.6Muse SparkResult
Terminal-Bench 2.0Source 66.7%59%Kimi K2.6 leads
BrowseCompSource 83.2%—Not comparable
OSWorld-VerifiedSource 73.1%—Not comparable
ToolathlonSource 50%—Not comparable
MCP AtlasSource 55.9%—Not comparable
Claw-EvalSource 62.3%63.8%Muse Spark leads
DeepSearchQASource 92.5%74.8%Kimi K2.6 leads
WideResearchSource 80.8%—Not comparable
AA Agentic IndexSource 30.3%28.7%Kimi K2.6 leads
Tau2-TelecomSource 95.9%91.5%Kimi K2.6 leads
GDPval-AASource 34.5%32.3%Kimi K2.6 leads
GDPval-AASource 11901145Kimi K2.6 leads
APEX-Agents-AASource 28.5%—Not comparable
Gert LabsSource 56.82%—Not comparable
ResearchClawBenchSource 18.0%—Not comparable
OSWorld 2.0Source 4.6%—Not comparable
AA BriefcaseSource 809—Not comparable
AA AutomationBenchSource 19.6%—Not comparable
AA EnterpriseOps-GymSource 38.5%—Not comparable
AA Harvey LABSource 0.0%—Not comparable
AA ITBenchSource 31.2%—Not comparable
AA Tau3 BankingSource 20.6%—Not comparable
CyberGymSource —43.5%Not comparable
CodingKimi K2.6 wins
BenchmarkKimi K2.6Muse SparkResult
SWE-bench VerifiedSource 80.2%77.4%Kimi K2.6 leads
LiveCodeBenchSource 89.6%—Not comparable
LiveCodeBench v6Source 89.6%—Not comparable
SWE-bench ProSource 58.6%52.4%Kimi K2.6 leads
SWE MultilingualSource 76.7%—Not comparable
SciCodeSource 52.2%—Not comparable
Terminal-Bench 2.0Source 66.7%—Not comparable
Vibe Code BenchSource 37.89%19.67%Kimi K2.6 leads
cursorBench31Source 47.6%—Not comparable
AA Coding IndexSource 61.8%58.6%Kimi K2.6 leads
Terminal-Bench HardSource 43.9%45.5%Muse Spark leads
AA-SciCodeSource 53.5%51.5%Kimi K2.6 leads
AA Terminal-Bench 2.1Source 65.9%—Not comparable
LiveCodeBench ProSource —80.0%Not comparable
Reasoning
BenchmarkKimi K2.6Muse SparkResult
AA-LCRSource 69.7%69.7%Tie
CritPtSource 8.0%11.3%Muse Spark leads
ARC-AGI-2Source —42.5%Not comparable
KnowledgeMuse Spark wins
BenchmarkKimi K2.6Muse SparkResult
GPQASource 90.5%—Not comparable
GPQA-DSource 90.5%89.5%Kimi K2.6 leads
HLESource 34.7%50.4%Muse Spark leads
Artificial Analysis Intelligence IndexSource 44.2%43.1%Kimi K2.6 leads
AA-GPQA DiamondSource 91.1%88.4%Kimi K2.6 leads
AA-HLESource 35.9%39.9%Muse Spark leads
AA-Omniscience IndexSource 6.4%4.1%Kimi K2.6 leads
AA-Omniscience AccuracySource 32.8%44.6%Muse Spark leads
AA-Omniscience Hallucination RateSource 39.3%73.2%Kimi K2.6 leads
AA Openness IndexSource 33.3%—Not comparable
HLE w/o toolsSource —42.8%Not comparable
HealthBench HardSource —42.8%Not comparable
MedXpertQA (Text)Source —52.6%Not comparable
MathKimi K2.6 wins
BenchmarkKimi K2.6Muse SparkResult
AIME26Source 96.4%—Not comparable
HMMT Feb 2026Source 92.7%—Not comparable
MMAnswerBenchSource 86.0%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 38.966%39.000%Muse Spark leads
FrontierMath v2 (Tier 4)Source 14.580%14.600%Muse Spark leads
MultimodalMuse Spark wins
BenchmarkKimi K2.6Muse SparkResult
MMMU-ProSource 79.4%80.4%Muse Spark leads
MMMU-Pro w/ PythonSource 80.1%—Not comparable
CharXivSource 80.4%86.4%Muse Spark leads
MathVisionSource 87.4%—Not comparable
V*Source 96.9%—Not comparable
AA-MMMU-ProSource 79.4%80.5%Muse Spark leads
Design Arena WebsiteSource 1318—Not comparable
ERQASource —64.7%Not comparable
SimpleVQASource —71.3%Not comparable
ScreenSpot ProSource —84.1%Not comparable
ZeroBenchSource —33.0%Not comparable
MedXpertQA (MM)Source —78.4%Not comparable
GDPval-AASource —1444Not comparable
Inst. Following
BenchmarkKimi K2.6Muse SparkResult
AA-IFBenchSource 76.0%75.9%Kimi K2.6 leads
Frequently Asked Questions (6)

Which is better, Kimi K2.6 or Muse Spark?

Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 74 to 63. The biggest single separator in this matchup is HLE, where the scores are 34.7% and 50.4%.

Which is better for knowledge tasks, Kimi K2.6 or Muse Spark?

Muse Spark has the edge for knowledge tasks in this comparison, averaging 50.4 versus 42.2. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, Kimi K2.6 or Muse Spark?

Kimi K2.6 has the edge for coding in this comparison, averaging 72.6 versus 61.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.

Which is better for math, Kimi K2.6 or Muse Spark?

Kimi K2.6 has the edge for math in this comparison, averaging 67.1 versus 32.9. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Kimi K2.6 or Muse Spark?

Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 59. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Kimi K2.6 or Muse Spark?

Muse Spark has the edge for multimodal and grounded tasks in this comparison, averaging 82.5 versus 79.8. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Kimi K2.6
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Muse Spark
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

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