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Model comparison

Claude Opus 4.8 vs Kimi K2.6

Data verified

Head-to-head evidence from 43 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.

85/100
Margin
11.0pts
← winning
Moonshot AI
74/100
3 category wins2 category wins

Verified leaderboard positions: Claude Opus 4.8 #3; Kimi K2.6 #13

Evidence parity. Claude Opus 4.8 and Kimi K2.6 share 43 comparable benchmark results. 5 of 8 categories are comparable. 10 results are unique to Claude Opus 4.8; 17 to Kimi K2.6.

Updated July 12, 2026
Shared results
43
Claude Opus 4.8 only
10
Kimi K2.6 only
17
Comparable categories
5 / 8

Pick Claude Opus 4.8 if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 43 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

Claude Opus 4.8 is clearly ahead on the provisional aggregate, 85 to 74. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.8's sharpest advantage is in knowledge, where it averages 62.7 against 42.2. The single biggest benchmark swing on the page is HLE, 57.9% to 34.7%. Kimi K2.6 does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. That is roughly 6.3x on output cost alone. Claude Opus 4.8 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 Claude Opus 4.8 and Kimi K2.6
CategoryClaude Opus 4.8ΔKimi K2.6
KnowledgeClaude Opus 4.862.7Margin 20.5Kimi K2.642.2
MathClaude Opus 4.853.9Margin 13.2Kimi K2.667.1
AgenticClaude Opus 4.880.3Margin 6.8Kimi K2.673.5
CodingClaude Opus 4.876.4Margin 3.8Kimi K2.672.6
MultimodalClaude Opus 4.877.0Margin 2.8Kimi K2.679.8

Decisive benchmark drivers

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

More
A · Claude Opus 4.8B · Kimi K2.6
  1. HLE

    Knowledge
    Source ↗
    A 57.9%B 34.7%
    Winner: Claude Opus 4.8Δ 23.2
    HLE: Claude Opus 4.8 scored 57.9%; Kimi K2.6 scored 34.7%. Claude Opus 4.8 wins this benchmark.
  2. FrontierMath v2 (Tier 4)

    Math
    Source ↗
    A 31.250%B 14.580%
    Winner: Claude Opus 4.8Δ 16.7
    FrontierMath v2 (Tier 4): Claude Opus 4.8 scored 31.250%; Kimi K2.6 scored 14.580%. Claude Opus 4.8 wins this benchmark.
  3. SWE-bench Pro

    Coding
    Source ↗
    A 69.2%B 58.6%
    Winner: Claude Opus 4.8Δ 10.6
    SWE-bench Pro: Claude Opus 4.8 scored 69.2%; Kimi K2.6 scored 58.6%. Claude Opus 4.8 wins this benchmark.
  4. OSWorld-Verified

    Agentic
    Source ↗
    A 83.4%B 73.1%
    Winner: Claude Opus 4.8Δ 10.3
    OSWorld-Verified: Claude Opus 4.8 scored 83.4%; Kimi K2.6 scored 73.1%. Claude Opus 4.8 wins this benchmark.
  5. CharXiv

    Multimodal
    Source ↗
    A 89.9%B 80.4%
    Winner: Claude Opus 4.8Δ 9.5
    CharXiv: Claude Opus 4.8 scored 89.9%; Kimi K2.6 scored 80.4%. Claude Opus 4.8 wins this benchmark.

Operational comparison

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

MetricClaude Opus 4.8Kimi K2.6Comparison
Input / output priceUSD per 1M tokensClaude Opus 4.8$5 input / $25 outputKimi K2.6$0.95 input / $4 outputKimi K2.6 has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.8Not availableKimi K2.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.8Not availableKimi K2.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.81MKimi K2.6256KClaude Opus 4.8 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Kimi K2.6Result
Terminal-Bench 2.0Source 74.6%66.7%Claude Opus 4.8 leads
BrowseCompSource 84.3%83.2%Claude Opus 4.8 leads
DeepSearchQASource 93.1%92.5%Claude Opus 4.8 leads
OSWorld-VerifiedSource 83.4%73.1%Claude Opus 4.8 leads
Finance Agent v2Source 53.9%Not comparable
GDPval-AASource 16001190Claude Opus 4.8 leads
MCP AtlasSource 82.2%55.9%Claude Opus 4.8 leads
ToolathlonSource 59.9%50%Claude Opus 4.8 leads
Gert LabsSource 72.97%56.82%Claude Opus 4.8 leads
AA Agentic IndexSource 47.2%30.3%Claude Opus 4.8 leads
Tau2-TelecomSource 94.4%95.9%Kimi K2.6 leads
GDPval-AASource 55.0%34.5%Claude Opus 4.8 leads
ResearchClawBenchSource 21.1%18.0%Claude Opus 4.8 leads
OSWorld 2.0Source 20.6%4.6%Claude Opus 4.8 leads
AA BriefcaseSource 1354809Claude Opus 4.8 leads
AA AutomationBenchSource 48.5%19.6%Claude Opus 4.8 leads
AA EnterpriseOps-GymSource 44.0%38.5%Claude Opus 4.8 leads
AA Harvey LABSource 7.5%0.0%Claude Opus 4.8 leads
AA Tau3 BankingSource 27.6%20.6%Claude Opus 4.8 leads
Claw-EvalSource 62.3%Not comparable
WideResearchSource 80.8%Not comparable
APEX-Agents-AASource 28.5%Not comparable
AA ITBenchSource 31.2%Not comparable
CodingClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Kimi K2.6Result
SWE-bench VerifiedSource 88.6%80.2%Claude Opus 4.8 leads
SWE-bench ProSource 69.2%58.6%Claude Opus 4.8 leads
SWE MultilingualSource 84.4%76.7%Claude Opus 4.8 leads
SWE MultimodalSource 38.4%Not comparable
Terminal-Bench 2.0Source 74.6%66.7%Claude Opus 4.8 leads
cursorBench31Source 58.4%47.6%Claude Opus 4.8 leads
cursorBench32Source 62.3%Not comparable
AA Coding IndexSource 74.3%61.8%Claude Opus 4.8 leads
Terminal-Bench HardSource 58.3%43.9%Claude Opus 4.8 leads
AA-SciCodeSource 53.5%53.5%Tie
FrontierCodeSource 46.5%Not comparable
AA Terminal-Bench 2.1Source 84.6%65.9%Claude Opus 4.8 leads
LiveCodeBenchSource 89.6%Not comparable
LiveCodeBench v6Source 89.6%Not comparable
SciCodeSource 52.2%Not comparable
Vibe Code BenchSource 37.89%Not comparable
Reasoning
BenchmarkClaude Opus 4.8Kimi K2.6Result
AA-LCRSource 67.7%69.7%Kimi K2.6 leads
CritPtSource 20.9%8.0%Claude Opus 4.8 leads
KnowledgeClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8Kimi K2.6Result
GPQASource 93.6%90.5%Claude Opus 4.8 leads
GPQA-DSource 93.6%90.5%Claude Opus 4.8 leads
HLESource 57.9%34.7%Claude Opus 4.8 leads
HLE w/o toolsSource 49.8%Not comparable
Artificial Analysis Intelligence IndexSource 55.7%44.2%Claude Opus 4.8 leads
AA-GPQA DiamondSource 92.0%91.1%Claude Opus 4.8 leads
AA-HLESource 45.7%35.9%Claude Opus 4.8 leads
AA-Omniscience IndexSource 27.4%6.4%Claude Opus 4.8 leads
AA-Omniscience AccuracySource 46.6%32.8%Claude Opus 4.8 leads
AA-Omniscience Hallucination RateSource 35.9%39.3%Claude Opus 4.8 leads
AA Openness IndexSource 33.3%Not comparable
MathKimi K2.6 wins
BenchmarkClaude Opus 4.8Kimi K2.6Result
USAMO 2026Source 96.7%Not comparable
FrontierMath v2 (Tiers 1-3)Source 47.241%38.966%Claude Opus 4.8 leads
FrontierMath v2 (Tier 4)Source 31.250%14.580%Claude Opus 4.8 leads
AIME26Source 96.4%Not comparable
HMMT Feb 2026Source 92.7%Not comparable
MMAnswerBenchSource 86.0%Not comparable
Multilingual
BenchmarkClaude Opus 4.8Kimi K2.6Result
INCLUDESource 87.6%Not comparable
MultimodalKimi K2.6 wins
BenchmarkClaude Opus 4.8Kimi K2.6Result
OfficeQA ProSource 66.2%Not comparable
ScreenSpot ProSource 87.9%Not comparable
CharXivSource 89.9%80.4%Claude Opus 4.8 leads
CharXiv w/o toolsSource 80.5%Not comparable
Design Arena WebsiteSource 12811318Kimi K2.6 leads
MMMU-ProSource 79.4%Not comparable
MMMU-Pro w/ PythonSource 80.1%Not comparable
MathVisionSource 87.4%Not comparable
V*Source 96.9%Not comparable
AA-MMMU-ProSource 79.4%Not comparable
Inst. Following
BenchmarkClaude Opus 4.8Kimi K2.6Result
AA-IFBenchSource 62.2%76.0%Kimi K2.6 leads
Frequently Asked Questions (6)

Which is better, Claude Opus 4.8 or Kimi K2.6?

Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 74. The biggest single separator in this matchup is HLE, where the scores are 57.9% and 34.7%.

Which is better for knowledge tasks, Claude Opus 4.8 or Kimi K2.6?

Claude Opus 4.8 has the edge for knowledge tasks in this comparison, averaging 62.7 versus 42.2. Inside this category, HLE is the benchmark that creates the most daylight between them.

Which is better for coding, Claude Opus 4.8 or Kimi K2.6?

Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 72.6. Inside this category, AA Terminal-Bench 2.1 is the benchmark that creates the most daylight between them.

Which is better for math, Claude Opus 4.8 or Kimi K2.6?

Kimi K2.6 has the edge for math in this comparison, averaging 67.1 versus 53.9. Inside this category, FrontierMath v2 (Tier 4) is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Opus 4.8 or Kimi K2.6?

Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 73.5. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Claude Opus 4.8 or Kimi K2.6?

Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 77. 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.

Claude Opus 4.8
API / mo$22,500
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Kimi K2.6
API / mo$3,713
Self-host / mo$18,221
Break-even326M/day
Model the full break-even

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Last updated: July 12, 2026

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