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Model comparison

Inkling vs Kimi K2.5 (Reasoning)

Data verified

Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Thinking Machines Lab
69/100
Margin
9.9pts
← winning
59.06/100
1 category wins3 category wins

Verified leaderboard positions: Inkling #17; Kimi K2.5 (Reasoning) unranked

BenchAlign evidence: Inkling not scored; Kimi K2.5 (Reasoning) estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and Kimi K2.5 (Reasoning) share 5 comparable benchmark results. 4 of 8 categories are comparable. 11 results are unique to Inkling; 23 to Kimi K2.5 (Reasoning).

Updated July 15, 2026
Shared results
5
Inkling only
11
Kimi K2.5 (Reasoning) only
23
Comparable categories
4 / 8

Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Inkling only becomes the better choice if agentic is the priority or you need the larger 1M context window.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 4 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 K2.5 (Reasoning) finishes one point ahead on BenchLM's provisional leaderboard, 70 to 69. 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 K2.5 (Reasoning)'s sharpest advantage is in knowledge, where it averages 87.2 against 51.7. The single biggest benchmark swing on the page is BrowseComp, 77.1% to 60.6%. Inkling does hit back in agentic, 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 $0.60 input / $3.00 output per 1M tokens for Kimi K2.5 (Reasoning). Kimi K2.5 (Reasoning) 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 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 Inkling and Kimi K2.5 (Reasoning)
CategoryInklingΔKimi K2.5 (Reasoning)
KnowledgeInkling51.7Margin 35.5Kimi K2.5 (Reasoning)87.2
AgenticInkling69.4Margin 14.4Kimi K2.5 (Reasoning)55.0
CodingInkling68.6Margin 8.2Kimi K2.5 (Reasoning)76.8
MultimodalInkling76.5Margin 2.0Kimi K2.5 (Reasoning)78.5
MathInkling97.1MarginNo overlapKimi K2.5 (Reasoning)Not measured
Inst. FollowingInkling79.8MarginNo overlapKimi K2.5 (Reasoning)Not measured

Decisive benchmark drivers

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

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

    Agentic
    Source ↗
    A 77.1%B 60.6%
    Winner: InklingΔ 16.5
    BrowseComp: Inkling scored 77.1%; Kimi K2.5 (Reasoning) scored 60.6%. Inkling wins this benchmark.
  2. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 63.8%B 50.8%
    Winner: InklingΔ 13
    Terminal-Bench 2.0: Inkling scored 63.8%; Kimi K2.5 (Reasoning) scored 50.8%. Inkling wins this benchmark.
  3. MMMU-Pro

    Multimodal
    Source ↗
    A 73.5%B 78.5%
    Winner: Kimi K2.5 (Reasoning)Δ 5
    MMMU-Pro: Inkling scored 73.5%; Kimi K2.5 (Reasoning) scored 78.5%. Kimi K2.5 (Reasoning) wins this benchmark.
  4. SWE-bench Verified

    Coding
    Source ↗
    A 77.6%B 76.8%
    Winner: InklingΔ 0.8
    SWE-bench Verified: Inkling scored 77.6%; Kimi K2.5 (Reasoning) scored 76.8%. Inkling wins this benchmark.
  5. GPQA

    Knowledge
    Source ↗
    A 87.9%B 87.6%
    Winner: InklingΔ 0.3
    GPQA: Inkling scored 87.9%; Kimi K2.5 (Reasoning) scored 87.6%. Inkling wins this benchmark.

Operational comparison

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

MetricInklingKimi K2.5 (Reasoning)Comparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputKimi K2.5 (Reasoning)$0.6 input / $3 outputKimi K2.5 (Reasoning) has the lower combined listed price.
Generation speedtokens per secondInklingNot availableKimi K2.5 (Reasoning)Not availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableKimi K2.5 (Reasoning)Not availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MKimi K2.5 (Reasoning)128KInkling lists the larger context window.

Benchmark Deep Dive

AgenticInkling wins
BenchmarkInklingKimi K2.5 (Reasoning)Result
Terminal-Bench 2.0Source 63.8%50.8%Inkling leads
BrowseCompSource 77.1%60.6%Inkling leads
MCP AtlasSource 74.1%Not comparable
Design Arena Agentic Web DevSource 1258Not comparable
APEX-Agents-AASource 11.5%Not comparable
τ²-bench resultsSource 95.9%Not comparable
Gert LabsSource 32.58%Not comparable
AA Agentic IndexSource 21.7%Not comparable
GDPval-AASource 25.4%Not comparable
GDPval-AASource 1009Not comparable
CodingKimi K2.5 (Reasoning) wins
BenchmarkInklingKimi K2.5 (Reasoning)Result
SWE-bench VerifiedSource 77.6%76.8%Inkling leads
SWE-bench ProSource 54.3%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
Vibe Code BenchSource 17.54%Not comparable
Terminal-Bench HardSource 34.8%Not comparable
AA-SciCodeSource 49.0%Not comparable
AA Coding IndexSource 46.8%Not comparable
Reasoning
BenchmarkInklingKimi K2.5 (Reasoning)Result
AA-LCRSource 65.3%Not comparable
CritPtSource 3.1%Not comparable
KnowledgeKimi K2.5 (Reasoning) wins
BenchmarkInklingKimi K2.5 (Reasoning)Result
GPQASource 87.9%87.6%Inkling leads
GPQA-DSource 87.9%Not comparable
HLESource 46%Not comparable
HLE w/o toolsSource 30%Not comparable
MMLU-ProSource 87.1%Not comparable
Artificial Analysis Intelligence IndexSource 35.4%Not comparable
AA-GPQA DiamondSource 87.9%Not comparable
AA-HLESource 29.4%Not comparable
AA-Omniscience IndexSource -8.1%Not comparable
AA-Omniscience AccuracySource 34.3%Not comparable
AA-Omniscience Hallucination RateSource 64.6%Not comparable
Math
BenchmarkInklingKimi K2.5 (Reasoning)Result
AIME26Source 97.1%Not comparable
AIME 2025Source 96.1%Not comparable
MultimodalKimi K2.5 (Reasoning) wins
BenchmarkInklingKimi K2.5 (Reasoning)Result
MMMU-ProSource 73.5%78.5%Kimi K2.5 (Reasoning) leads
CharXivSource 82%Not comparable
CharXiv w/o toolsSource 78.1%Not comparable
AA-MMMU-ProSource 75.4%Not comparable
Design Arena WebsiteSource 1284Not comparable
Inst. Following
BenchmarkInklingKimi K2.5 (Reasoning)Result
IFBenchSource 79.8%Not comparable
AA-IFBenchSource 70.2%Not comparable
Frequently Asked Questions (5)

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

Kimi K2.5 (Reasoning) is ahead on BenchLM's provisional leaderboard, 70 to 69. The biggest single separator in this matchup is BrowseComp, where the scores are 77.1% and 60.6%.

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

Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.2 versus 51.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for coding, Inkling or Kimi K2.5 (Reasoning)?

Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 68.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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

Inkling has the edge for agentic tasks in this comparison, averaging 69.4 versus 55. Inside this category, BrowseComp is the benchmark that creates the most daylight between them.

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

Kimi K2.5 (Reasoning) has the edge for multimodal and grounded tasks in this comparison, averaging 78.5 versus 76.5. Inside this category, MMMU-Pro is the benchmark that creates the most daylight between them.

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Last updated: July 15, 2026

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