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Model comparison

Kimi K2.6 vs Muse Spark 1.1

Data verified

Head-to-head evidence from 24 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Kimi K2.6
Moonshot AI
56.79/100
Margin
20.6pts
winning →
77.44/100
1 category wins3 category wins

Public leaderboard positions: Kimi K2.6 #74 (Estimated); Muse Spark 1.1 #6 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2.6 and Muse Spark 1.1 share 24 comparable benchmark results. 4 of 8 categories are comparable. 27 results are unique to Kimi K2.6; 15 to Muse Spark 1.1.

Updated July 23, 2026
Shared results
24
Kimi K2.6 only
27
Muse Spark 1.1 only
15
Comparable categories
4 / 8

Pick Muse Spark 1.1 if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if coding is the priority.

Confidence note. This is a partial-evidence comparison with 24 shared benchmark results across 5 evidence categories; 4 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Muse Spark 1.1 is clearly ahead on the BenchAlign aggregate, 77.44 to 56.79. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Muse Spark 1.1's sharpest advantage is in knowledge, where it averages 62.1 against 42.2. The single biggest benchmark swing on the page is HLE, 34.7% to 62.1%. Kimi K2.6 does hit back in coding, so the answer changes if that is the part of the workload you care about most.

Muse Spark 1.1 gives you the larger context window at 1M, 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 1.1
CategoryKimi K2.6ΔMuse Spark 1.1
KnowledgeKimi K2.642.2Margin→ 19.9Muse Spark 1.162.1
MultimodalKimi K2.679.8Margin→ 8.6Muse Spark 1.188.4
AgenticKimi K2.673.5Margin→ 6.9Muse Spark 1.180.4
CodingKimi K2.664.4Margin← 2.9Muse Spark 1.161.5
MathKimi K2.667.1MarginNo overlapMuse Spark 1.1Not measured

Decisive benchmark drivers

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

More
A · Kimi K2.6B · Muse Spark 1.1

  1. HLE

    Knowledge
    Source ↗
    A 34.7%B 62.1%
    Winner: Muse Spark 1.1Δ 27.4
    HLE: Kimi K2.6 scored 34.7%; Muse Spark 1.1 scored 62.1%. Muse Spark 1.1 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 66.7%B 80%
    Winner: Muse Spark 1.1Δ 13.3
    Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; Muse Spark 1.1 scored 80%. Muse Spark 1.1 wins this benchmark.

  3. CharXiv

    Multimodal
    Source ↗
    A 80.4%B 88.4%
    Winner: Muse Spark 1.1Δ 8
    CharXiv: Kimi K2.6 scored 80.4%; Muse Spark 1.1 scored 88.4%. Muse Spark 1.1 wins this benchmark.

  4. OSWorld-Verified

    Agentic
    Source ↗
    A 73.1%B 80.8%
    Winner: Muse Spark 1.1Δ 7.7
    OSWorld-Verified: Kimi K2.6 scored 73.1%; Muse Spark 1.1 scored 80.8%. Muse Spark 1.1 wins this benchmark.

  5. SWE-bench Pro

    Coding
    Source ↗
    A 58.6%B 61.5%
    Winner: Muse Spark 1.1Δ 2.9
    SWE-bench Pro: Kimi K2.6 scored 58.6%; Muse Spark 1.1 scored 61.5%. Muse Spark 1.1 wins this benchmark.

Operational comparison

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

MetricKimi K2.6Muse Spark 1.1Comparison
Input / output priceUSD per 1M tokensKimi K2.6$0.95 input / $4 outputMuse Spark 1.1Not availableA complete price comparison is not available.
Generation speedtokens per secondKimi K2.6Not availableMuse Spark 1.1Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.6Not availableMuse Spark 1.1Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.6256KMuse Spark 1.11MMuse Spark 1.1 lists the larger context window.

Benchmark Deep Dive

AgenticMuse Spark 1.1 wins
BenchmarkKimi K2.6Muse Spark 1.1Result
Terminal-Bench 2.0Source 66.7%80%Muse Spark 1.1 leads
BrowseCompSource 83.2%—Not comparable
OSWorld-VerifiedSource 73.1%80.8%Muse Spark 1.1 leads
ToolathlonSource 50%75.6%Muse Spark 1.1 leads
MCP AtlasSource 55.9%88.1%Muse Spark 1.1 leads
Claw-EvalSource 62.3%—Not comparable
DeepSearchQASource 92.5%84.9%Kimi K2.6 leads
WideResearchSource 80.8%—Not comparable
AA Agentic IndexSource 30.3%37.5%Muse Spark 1.1 leads
τ²-bench resultsSource 95.9%—Not comparable
GDPval-AASource 34.5%43.7%Muse Spark 1.1 leads
GDPval-AASource 11891374Muse Spark 1.1 leads
APEX-Agents-AASource 28.5%—Not comparable
Gert LabsSource 56.82%—Not comparable
ResearchClawBenchSource 18.0%—Not comparable
OSWorld 2.0Source 4.6%14.2%Muse Spark 1.1 leads
terminalBenchHardSource 43.9%—Not comparable
CyberGymSource —59.0%Not comparable
Finance Agent v2Source —57.2%Not comparable
deepSweSource —53.3%Not comparable
JobBenchSource —54.7%Not comparable
CybenchSource —92.9%Not comparable
ExploitGymSource —0.8%Not comparable
AA BriefcaseSource —863Not comparable
AA AutomationBenchSource —42.8%Not comparable
AA Harvey LABSource —93.1%Not comparable
AA Tau3 BankingSource —25.2%Not comparable
aaTerminalBench21Source —77.9%Not comparable
CodingKimi K2.6 wins
BenchmarkKimi K2.6Muse Spark 1.1Result
SWE-bench VerifiedSource 80.2%—Not comparable
LiveCodeBench v6Source 89.6%—Not comparable
SWE-bench ProSource 58.6%61.5%Muse Spark 1.1 leads
SWE MultilingualSource 76.7%—Not comparable
SciCodeSource 52.2%—Not comparable
Terminal-Bench 2.0Source 66.7%80.0%Muse Spark 1.1 leads
Vibe Code BenchSource 37.89%—Not comparable
cursorBench31Source 47.6%—Not comparable
AA Coding IndexSource 61.8%71.3%Muse Spark 1.1 leads
AA-SciCodeSource 53.5%58.2%Muse Spark 1.1 leads
Reasoning
BenchmarkKimi K2.6Muse Spark 1.1Result
AA-LCRSource 69.7%63.3%Kimi K2.6 leads
CritPtSource 8.0%15.1%Muse Spark 1.1 leads
MRCR 1MSource —54.1%Not comparable
KnowledgeMuse Spark 1.1 wins
BenchmarkKimi K2.6Muse Spark 1.1Result
GPQASource 90.5%—Not comparable
GPQA-DSource 90.5%—Not comparable
HLESource 34.7%62.1%Muse Spark 1.1 leads
Artificial Analysis Intelligence IndexSource 44.2%50.6%Muse Spark 1.1 leads
AA-GPQA DiamondSource 91.1%89.8%Kimi K2.6 leads
AA-HLESource 35.9%45.1%Muse Spark 1.1 leads
AA-Omniscience IndexSource 6.4%18.0%Muse Spark 1.1 leads
AA-Omniscience AccuracySource 32.8%40.6%Muse Spark 1.1 leads
AA-Omniscience Hallucination RateSource 39.3%38.1%Muse Spark 1.1 leads
HLE w/o toolsSource —52.2%Not comparable
HealthBench ProfessionalSource —59.3%Not comparable
Math
BenchmarkKimi K2.6Muse Spark 1.1Result
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%—Not comparable
FrontierMath v2 (Tier 4)Source 14.580%—Not comparable
MultimodalMuse Spark 1.1 wins
BenchmarkKimi K2.6Muse Spark 1.1Result
MMMU-ProSource 79.4%—Not comparable
MMMU-Pro w/ PythonSource 80.1%—Not comparable
CharXivSource 80.4%88.4%Muse Spark 1.1 leads
MathVisionSource 87.4%—Not comparable
V*Source 96.9%—Not comparable
AA-MMMU-ProSource 79.4%—Not comparable
Design Arena WebsiteSource 13061299Kimi K2.6 leads
BabyVisionSource —76.3%Not comparable
Inst. Following
BenchmarkKimi K2.6Muse Spark 1.1Result
AA-IFBenchSource 76.0%—Not comparable
Frequently Asked Questions (5)

Which is better, Kimi K2.6 or Muse Spark 1.1?

Muse Spark 1.1 is ahead on BenchLM's BenchAlign leaderboard, 77.44 to 56.79. The biggest single separator in this matchup is HLE, where the scores are 34.7% and 62.1%.

Which is better for knowledge tasks, Kimi K2.6 or Muse Spark 1.1?

Muse Spark 1.1 has the edge for knowledge tasks in this comparison, averaging 62.1 versus 42.2. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Kimi K2.6 or Muse Spark 1.1?

Kimi K2.6 has the edge for coding in this comparison, averaging 64.4 versus 61.5. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Kimi K2.6 or Muse Spark 1.1?

Muse Spark 1.1 has the edge for agentic tasks in this comparison, averaging 80.4 versus 73.5. 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 1.1?

Muse Spark 1.1 has the edge for multimodal and grounded tasks in this comparison, averaging 88.4 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 1.1
API / mo$0
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

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