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Model comparison

Inkling vs Kimi K2.6

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Thinking Machines Lab
69/100
Margin
12.0pts
← winning
Moonshot AI
57.04/100
3 category wins2 category wins

Verified leaderboard positions: Inkling #17; Kimi K2.6 #11

BenchAlign evidence: Inkling not scored; Kimi K2.6 estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and Kimi K2.6 share 12 comparable benchmark results. 5 of 8 categories are comparable. 4 results are unique to Inkling; 45 to Kimi K2.6.

Updated July 15, 2026
Shared results
12
Inkling only
4
Kimi K2.6 only
45
Comparable categories
5 / 8

Pick Kimi K2.6 if you want the stronger benchmark profile. Inkling only becomes the better choice if mathematics is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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 has the cleaner provisional overall profile here, landing at 71 versus 69. It is a real lead, but still close enough that category-level strengths matter more than the headline number.

Kimi K2.6's sharpest advantage is in agentic, where it averages 73.5 against 69.4. The single biggest benchmark swing on the page is HLE, 46% to 34.7%. Inkling does hit back in mathematics, so the answer changes if that is the part of the workload you care about most.

Inkling is also the more expensive model on tokens at $1.87 input / $4.68 output per 1M tokens, versus $0.95 input / $4.00 output per 1M tokens for Kimi K2.6. Kimi K2.6 is the reasoning model in the pair, while Inkling is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Inkling 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 Inkling and Kimi K2.6
CategoryInklingΔKimi K2.6
MathInkling97.1Margin 30.0Kimi K2.667.1
KnowledgeInkling51.7Margin 9.5Kimi K2.642.2
CodingInkling68.6Margin 4.2Kimi K2.664.4
AgenticInkling69.4Margin 4.1Kimi K2.673.5
MultimodalInkling76.5Margin 3.3Kimi K2.679.8
Inst. FollowingInkling79.8MarginNo overlapKimi K2.6Not measured

Decisive benchmark drivers

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

More
A · InklingB · Kimi K2.6
  1. HLE

    Knowledge
    Source ↗
    A 46%B 34.7%
    Winner: InklingΔ 11.3
    HLE: Inkling scored 46%; Kimi K2.6 scored 34.7%. Inkling wins this benchmark.
  2. BrowseComp

    Agentic
    Source ↗
    A 77.1%B 83.2%
    Winner: Kimi K2.6Δ 6.1
    BrowseComp: Inkling scored 77.1%; Kimi K2.6 scored 83.2%. Kimi K2.6 wins this benchmark.
  3. MMMU-Pro

    Multimodal
    Source ↗
    A 73.5%B 79.4%
    Winner: Kimi K2.6Δ 5.9
    MMMU-Pro: Inkling scored 73.5%; Kimi K2.6 scored 79.4%. Kimi K2.6 wins this benchmark.
  4. SWE-bench Pro

    Coding
    Source ↗
    A 54.3%B 58.6%
    Winner: Kimi K2.6Δ 4.3
    SWE-bench Pro: Inkling scored 54.3%; Kimi K2.6 scored 58.6%. Kimi K2.6 wins this benchmark.
  5. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 63.8%B 66.7%
    Winner: Kimi K2.6Δ 2.9
    Terminal-Bench 2.0: Inkling scored 63.8%; Kimi K2.6 scored 66.7%. Kimi K2.6 wins this benchmark.

Operational comparison

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

MetricInklingKimi K2.6Comparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputKimi K2.6$0.95 input / $4 outputKimi K2.6 has the lower combined listed price.
Generation speedtokens per secondInklingNot availableKimi K2.6Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableKimi K2.6Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MKimi K2.6256KInkling lists the larger context window.

Benchmark Deep Dive

AgenticKimi K2.6 wins
BenchmarkInklingKimi K2.6Result
Terminal-Bench 2.0Source 63.8%66.7%Kimi K2.6 leads
BrowseCompSource 77.1%83.2%Kimi K2.6 leads
MCP AtlasSource 74.1%55.9%Inkling leads
Design Arena Agentic Web DevSource 1258Not comparable
OSWorld-VerifiedSource 73.1%Not comparable
ToolathlonSource 50%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
τ²-bench resultsSource 95.9%Not comparable
GDPval-AASource 34.5%Not comparable
GDPval-AASource 1190Not 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
AA BriefcaseSource 811Not comparable
AA EnterpriseOps-GymSource 38.5%Not comparable
AA ITBenchSource 31.2%Not comparable
AA Tau3 BankingSource 20.6%Not comparable
CodingInkling wins
BenchmarkInklingKimi K2.6Result
SWE-bench VerifiedSource 77.6%80.2%Kimi K2.6 leads
SWE-bench ProSource 54.3%58.6%Kimi K2.6 leads
Terminal-Bench 2.0Source 63.8%66.7%Kimi K2.6 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
cursorBench31Source 47.6%Not comparable
AA Coding IndexSource 61.8%Not comparable
Terminal-Bench HardSource 43.9%Not comparable
AA-SciCodeSource 53.5%Not comparable
AA Terminal-Bench 2.1Source 65.9%Not comparable
Reasoning
BenchmarkInklingKimi K2.6Result
AA-LCRSource 69.7%Not comparable
CritPtSource 8.0%Not comparable
KnowledgeInkling wins
BenchmarkInklingKimi K2.6Result
GPQASource 87.9%90.5%Kimi K2.6 leads
GPQA-DSource 87.9%90.5%Kimi K2.6 leads
HLESource 46%34.7%Inkling leads
HLE w/o toolsSource 30%Not comparable
Artificial Analysis Intelligence IndexSource 44.2%Not comparable
AA-GPQA DiamondSource 91.1%Not comparable
AA-HLESource 35.9%Not comparable
AA-Omniscience IndexSource 6.4%Not comparable
AA-Omniscience AccuracySource 32.8%Not comparable
AA-Omniscience Hallucination RateSource 39.3%Not comparable
AA Openness IndexSource 33.3%Not comparable
MathInkling wins
BenchmarkInklingKimi K2.6Result
AIME26Source 97.1%96.4%Inkling leads
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
BenchmarkInklingKimi K2.6Result
MMMU-ProSource 73.5%79.4%Kimi K2.6 leads
CharXivSource 82%80.4%Inkling leads
CharXiv w/o toolsSource 78.1%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
Design Arena WebsiteSource 1310Not comparable
Inst. Following
BenchmarkInklingKimi K2.6Result
IFBenchSource 79.8%Not comparable
AA-IFBenchSource 76.0%Not comparable
Frequently Asked Questions (6)

Which is better, Inkling or Kimi K2.6?

Kimi K2.6 is ahead on BenchLM's provisional leaderboard, 71 to 69. The biggest single separator in this matchup is HLE, where the scores are 46% and 34.7%.

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

Inkling has the edge for knowledge tasks in this comparison, averaging 51.7 versus 42.2. Inside this category, HLE is the benchmark that creates the most daylight between them.

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

Inkling has the edge for coding in this comparison, averaging 68.6 versus 64.4. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.

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

Inkling has the edge for math in this comparison, averaging 97.1 versus 67.1. Inside this category, AIME26 is the benchmark that creates the most daylight between them.

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

Kimi K2.6 has the edge for agentic tasks in this comparison, averaging 73.5 versus 69.4. Inside this category, MCP Atlas is the benchmark that creates the most daylight between them.

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

Kimi K2.6 has the edge for multimodal and grounded tasks in this comparison, averaging 79.8 versus 76.5. Inside this category, MMMU-Pro 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.

Inkling
API / mo$4,913
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 15, 2026

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