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Model comparison

Kimi K2.6 vs Kimi K2.5 (Reasoning)

Data verified

Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use BenchLM's provisional ranking lane.

Moonshot AI
74/100
Margin
1.0pts
← winning
73/100
2 category wins2 category wins

Verified leaderboard positions: Kimi K2.6 #13; Kimi K2.5 (Reasoning) unranked

Evidence parity. Kimi K2.6 and Kimi K2.5 (Reasoning) share 22 comparable benchmark results. 4 of 8 categories are comparable. 38 results are unique to Kimi K2.6; 2 to Kimi K2.5 (Reasoning).

Updated July 13, 2026
Shared results
22
Kimi K2.6 only
38
Kimi K2.5 (Reasoning) only
2
Comparable categories
4 / 8

Pick Kimi K2.6 if you want the stronger benchmark profile. Kimi K2.5 (Reasoning) only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 6 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

Kimi K2.6 finishes one point ahead on BenchLM's provisional leaderboard, 74 to 73. That is enough to call, but not enough to treat as a blowout. This matchup comes down to a few meaningful edges rather than one model dominating the board.

Kimi K2.6's sharpest advantage is in agentic, where it averages 73.5 against 55. The single biggest benchmark swing on the page is BrowseComp, 83.2% to 60.6%. Kimi K2.5 (Reasoning) does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Kimi K2.6 is also the more expensive model on tokens at $0.95 input / $4.00 output per 1M tokens, versus $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). Kimi K2.6 gives you the larger context window at 256K, compared with 128K for Kimi K2.5 (Reasoning).

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 Kimi K2.5 (Reasoning)
CategoryKimi K2.6ΔKimi K2.5 (Reasoning)
KnowledgeKimi K2.642.2Margin 45.0Kimi K2.5 (Reasoning)87.2
AgenticKimi K2.673.5Margin 18.5Kimi K2.5 (Reasoning)55.0
CodingKimi K2.672.6Margin 4.2Kimi K2.5 (Reasoning)76.8
MultimodalKimi K2.679.8Margin 1.3Kimi K2.5 (Reasoning)78.5
MathKimi K2.667.1MarginNo overlapKimi K2.5 (Reasoning)Not measured

Decisive benchmark drivers

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

More
A · Kimi K2.6B · Kimi K2.5 (Reasoning)
  1. BrowseComp

    Agentic
    Source ↗
    A 83.2%B 60.6%
    Winner: Kimi K2.6Δ 22.6
    BrowseComp: Kimi K2.6 scored 83.2%; Kimi K2.5 (Reasoning) scored 60.6%. Kimi K2.6 wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 66.7%B 50.8%
    Winner: Kimi K2.6Δ 15.9
    Terminal-Bench 2.0: Kimi K2.6 scored 66.7%; Kimi K2.5 (Reasoning) scored 50.8%. Kimi K2.6 wins this benchmark.
  3. SWE-bench Verified

    Coding
    Source ↗
    A 80.2%B 76.8%
    Winner: Kimi K2.6Δ 3.4
    SWE-bench Verified: Kimi K2.6 scored 80.2%; Kimi K2.5 (Reasoning) scored 76.8%. Kimi K2.6 wins this benchmark.
  4. GPQA

    Knowledge
    Source ↗
    A 90.5%B 87.6%
    Winner: Kimi K2.6Δ 2.9
    GPQA: Kimi K2.6 scored 90.5%; Kimi K2.5 (Reasoning) scored 87.6%. Kimi K2.6 wins this benchmark.
  5. MMMU-Pro

    Multimodal
    Source ↗
    A 79.4%B 78.5%
    Winner: Kimi K2.6Δ 0.9
    MMMU-Pro: Kimi K2.6 scored 79.4%; Kimi K2.5 (Reasoning) scored 78.5%. Kimi K2.6 wins this benchmark.

Operational comparison

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

MetricKimi K2.6Kimi K2.5 (Reasoning)Comparison
Input / output priceUSD per 1M tokensKimi K2.6$0.95 input / $4 outputKimi K2.5 (Reasoning)$0.6 input / $3 outputKimi K2.5 (Reasoning) has the lower combined listed price.
Generation speedtokens per secondKimi K2.6Not availableKimi K2.5 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.6Not availableKimi K2.5 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.6256KKimi K2.5 (Reasoning)128KKimi K2.6 lists the larger context window.

Benchmark Deep Dive

AgenticKimi K2.6 wins
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
Terminal-Bench 2.0Source 66.7%50.8%Kimi K2.6 leads
BrowseCompSource 83.2%60.6%Kimi K2.6 leads
OSWorld-VerifiedSource 73.1%Not comparable
ToolathlonSource 50%Not comparable
MCP AtlasSource 55.9%Not comparable
Claw-EvalSource 62.3%Not comparable
DeepSearchQASource 92.5%Not comparable
WideResearchSource 80.8%Not comparable
AA Agentic IndexSource 30.3%Not comparable
Tau2-TelecomSource 95.9%95.9%Tie
GDPval-AASource 34.5%Not comparable
GDPval-AASource 1190Not comparable
APEX-Agents-AASource 28.5%11.5%Kimi K2.6 leads
Gert LabsSource 56.82%32.58%Kimi K2.6 leads
ResearchClawBenchSource 18.0%Not comparable
OSWorld 2.0Source 4.6%Not comparable
AA BriefcaseSource 809Not 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
CodingKimi K2.5 (Reasoning) wins
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
SWE-bench VerifiedSource 80.2%76.8%Kimi K2.6 leads
LiveCodeBenchSource 89.6%Not comparable
LiveCodeBench v6Source 89.6%Not comparable
SWE-bench ProSource 58.6%Not comparable
SWE MultilingualSource 76.7%Not comparable
SciCodeSource 52.2%Not comparable
Terminal-Bench 2.0Source 66.7%Not comparable
Vibe Code BenchSource 37.89%17.54%Kimi K2.6 leads
cursorBench31Source 47.6%Not comparable
AA Coding IndexSource 61.8%Not comparable
Terminal-Bench HardSource 43.9%34.8%Kimi K2.6 leads
AA-SciCodeSource 53.5%49.0%Kimi K2.6 leads
AA Terminal-Bench 2.1Source 65.9%Not comparable
Reasoning
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
AA-LCRSource 69.7%65.3%Kimi K2.6 leads
CritPtSource 8.0%3.1%Kimi K2.6 leads
KnowledgeKimi K2.5 (Reasoning) wins
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
GPQASource 90.5%87.6%Kimi K2.6 leads
GPQA-DSource 90.5%Not comparable
HLESource 34.7%Not comparable
Artificial Analysis Intelligence IndexSource 44.2%38.1%Kimi K2.6 leads
AA-GPQA DiamondSource 91.1%87.9%Kimi K2.6 leads
AA-HLESource 35.9%29.4%Kimi K2.6 leads
AA-Omniscience IndexSource 6.4%-8.1%Kimi K2.6 leads
AA-Omniscience AccuracySource 32.8%34.3%Kimi K2.5 (Reasoning) leads
AA-Omniscience Hallucination RateSource 39.3%64.6%Kimi K2.6 leads
AA Openness IndexSource 33.3%Not comparable
MMLU-ProSource 87.1%Not comparable
Math
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
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
AIME 2025Source 96.1%Not comparable
MultimodalKimi K2.6 wins
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
MMMU-ProSource 79.4%78.5%Kimi K2.6 leads
MMMU-Pro w/ PythonSource 80.1%Not comparable
CharXivSource 80.4%Not comparable
MathVisionSource 87.4%Not comparable
V*Source 96.9%Not comparable
AA-MMMU-ProSource 79.4%75.4%Kimi K2.6 leads
Design Arena WebsiteSource 13181291Kimi K2.6 leads
Inst. Following
BenchmarkKimi K2.6Kimi K2.5 (Reasoning)Result
AA-IFBenchSource 76.0%70.2%Kimi K2.6 leads
Frequently Asked Questions (5)

Which is better, Kimi K2.6 or Kimi K2.5 (Reasoning)?

Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 74 to 73. The biggest single separator in this matchup is BrowseComp, where the scores are 83.2% and 60.6%.

Which is better for knowledge tasks, Kimi K2.6 or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.2 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 Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 72.6. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Kimi K2.6 or Kimi K2.5 (Reasoning)?

Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 55. Inside this category, Gert Labs is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Kimi K2.6 or Kimi K2.5 (Reasoning)?

Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 78.5. Inside this category, Design Arena Website 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
Kimi K2.5 (Reasoning)
API / mo$2,700
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Model the full break-even

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Last updated: July 13, 2026

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