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Model comparison

Claude Fable 5 vs Kimi K2.6

Data verified

Head-to-head evidence from 23 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

83.68/100
Margin
26.9pts
← winning
Kimi K2.6
Moonshot AI
56.79/100
2 category wins1 category wins

Public leaderboard positions: Claude Fable 5 #2 (Supported); Kimi K2.6 #74 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Fable 5 and Kimi K2.6 share 23 comparable benchmark results. 3 of 8 categories are comparable. 11 results are unique to Claude Fable 5; 28 to Kimi K2.6.

Updated July 23, 2026
Shared results
23
Claude Fable 5 only
11
Kimi K2.6 only
28
Comparable categories
3 / 8

Pick Claude Fable 5 if you want the stronger benchmark profile. Kimi K2.6 only becomes the better choice if multimodal & grounded is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 23 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Fable 5 is clearly ahead on the BenchAlign aggregate, 83.68 to 56.79. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Fable 5's sharpest advantage is in coding, where it averages 89.2 against 64.4. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 58.6%. Kimi K2.6 does hit back in multimodal & grounded, so the answer changes if that is the part of the workload you care about most.

Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. That is roughly 12.5x on output cost alone. Claude Fable 5 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 Fable 5 and Kimi K2.6
CategoryClaude Fable 5ΔKimi K2.6
CodingClaude Fable 589.2Margin← 24.8Kimi K2.664.4
MultimodalClaude Fable 557.9Margin→ 21.9Kimi K2.679.8
AgenticClaude Fable 584.6Margin← 11.1Kimi K2.673.5
KnowledgeClaude Fable 5Not measuredMarginNo overlapKimi K2.642.2
MathClaude Fable 5Not measuredMarginNo overlapKimi K2.667.1

Decisive benchmark drivers

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

More
A · Claude Fable 5B · Kimi K2.6

  1. SWE-bench Pro

    Coding
    Source ↗
    A 80%B 58.6%
    Winner: Claude Fable 5Δ 21.4
    SWE-bench Pro: Claude Fable 5 scored 80%; Kimi K2.6 scored 58.6%. Claude Fable 5 wins this benchmark.

  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 84.3%B 66.7%
    Winner: Claude Fable 5Δ 17.6
    Terminal-Bench 2.0: Claude Fable 5 scored 84.3%; Kimi K2.6 scored 66.7%. Claude Fable 5 wins this benchmark.

  3. SWE-bench Verified

    Coding
    Source ↗
    A 95%B 80.2%
    Winner: Claude Fable 5Δ 14.8
    SWE-bench Verified: Claude Fable 5 scored 95%; Kimi K2.6 scored 80.2%. Claude Fable 5 wins this benchmark.

  4. OSWorld-Verified

    Agentic
    Source ↗
    A 85%B 73.1%
    Winner: Claude Fable 5Δ 11.9
    OSWorld-Verified: Claude Fable 5 scored 85%; Kimi K2.6 scored 73.1%. Claude Fable 5 wins this benchmark.

Operational comparison

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

MetricClaude Fable 5Kimi K2.6Comparison
Input / output priceUSD per 1M tokensClaude Fable 5$10 input / $50 outputKimi K2.6$0.95 input / $4 outputKimi K2.6 has the lower combined listed price.
Generation speedtokens per secondClaude Fable 5Not availableKimi K2.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Fable 5Not availableKimi K2.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Fable 51M+Kimi K2.6256KClaude Fable 5 lists the larger context window.

Benchmark Deep Dive

AgenticClaude Fable 5 wins
BenchmarkClaude Fable 5Kimi K2.6Result
Terminal-Bench 2.0Source 84.3%66.7%Claude Fable 5 leads
OSWorld-VerifiedSource 85%73.1%Claude Fable 5 leads
GDPval-AASource 17481189Claude Fable 5 leads
AA Agentic IndexSource 52.8%30.3%Claude Fable 5 leads
τ²-bench resultsSource 98.5%95.9%Claude Fable 5 leads
GDPval-AASource 62.4%34.5%Claude Fable 5 leads
AA BriefcaseSource 1574—Not comparable
AA AutomationBenchSource 48.6%—Not comparable
AA EnterpriseOps-GymSource 51.1%—Not comparable
AA Harvey LABSource 93.6%—Not comparable
AA Tau3 BankingSource 26.8%—Not comparable
terminalBenchHardSource 62.9%43.9%Claude Fable 5 leads
aaTerminalBench21Source 84.6%—Not comparable
BrowseCompSource —83.2%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
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
CodingClaude Fable 5 wins
BenchmarkClaude Fable 5Kimi K2.6Result
SWE-bench VerifiedSource 95%80.2%Claude Fable 5 leads
SWE-bench ProSource 80%58.6%Claude Fable 5 leads
FrontierCode 1.1 MainSource 53.5%—Not comparable
Terminal-Bench 2.0Source 84.3%66.7%Claude Fable 5 leads
cursorBench31Source 70.6%47.6%Claude Fable 5 leads
cursorBench32Source 70.5%—Not comparable
VulcanBench v3Source 87.0%—Not comparable
AA Coding IndexSource 76.5%61.8%Claude Fable 5 leads
AA-SciCodeSource 60.2%53.5%Claude Fable 5 leads
LiveCodeBench v6Source —89.6%Not comparable
SWE MultilingualSource —76.7%Not comparable
SciCodeSource —52.2%Not comparable
Vibe Code BenchSource —37.89%Not comparable
Reasoning
BenchmarkClaude Fable 5Kimi K2.6Result
AA-LCRSource 70.0%69.7%Claude Fable 5 leads
CritPtSource 28.6%8.0%Claude Fable 5 leads
Knowledge
BenchmarkClaude Fable 5Kimi K2.6Result
Artificial Analysis Intelligence IndexSource 59.9%44.2%Claude Fable 5 leads
AA-GPQA DiamondSource 92.6%91.1%Claude Fable 5 leads
AA-HLESource 53.3%35.9%Claude Fable 5 leads
AA-Omniscience IndexSource 40.2%6.4%Claude Fable 5 leads
AA-Omniscience AccuracySource 61.4%32.8%Claude Fable 5 leads
AA-Omniscience Hallucination RateSource 54.9%39.3%Kimi K2.6 leads
GPQASource —90.5%Not comparable
GPQA-DSource —90.5%Not comparable
HLESource —34.7%Not comparable
Math
BenchmarkClaude Fable 5Kimi K2.6Result
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
MultimodalKimi K2.6 wins
BenchmarkClaude Fable 5Kimi K2.6Result
Blueprint-Bench 2Source 38.6%—Not comparable
OfficeQA ProSource 57.9%—Not comparable
Design Arena WebsiteSource 13321306Claude Fable 5 leads
MMMU-ProSource —79.4%Not comparable
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%Not comparable
Inst. Following
BenchmarkClaude Fable 5Kimi K2.6Result
AA-IFBenchSource 63.5%76.0%Kimi K2.6 leads
Frequently Asked Questions (4)

Which is better, Claude Fable 5 or Kimi K2.6?

Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 56.79. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 58.6%.

Which is better for coding, Claude Fable 5 or Kimi K2.6?

Claude Fable 5 has the edge for coding in this comparison, averaging 89.2 versus 64.4. Inside this category, cursorBench31 is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, Claude Fable 5 or Kimi K2.6?

Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 84.6 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, Claude Fable 5 or Kimi K2.6?

Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 57.9. 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 Fable 5
API / mo$0
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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