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Model comparison

Kimi K2.5 (Reasoning) vs Ling 2.6 Flash

Data verified

Head-to-head evidence from 16 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.35/100
Margin
15.5pts
← winning
InclusionAI
43.87/100
2 category wins0 category wins

Public leaderboard positions: Kimi K2.5 (Reasoning) #57 (Estimated); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2.5 (Reasoning) and Ling 2.6 Flash share 16 comparable benchmark results. 2 of 8 categories are comparable. 11 results are unique to Kimi K2.5 (Reasoning); 2 to Ling 2.6 Flash.

Updated July 21, 2026
Shared results
16
Kimi K2.5 (Reasoning) only
11
Ling 2.6 Flash only
2
Comparable categories
2 / 8

Pick Kimi K2.5 (Reasoning) if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you need the larger 262K context window or you would rather avoid the extra latency and token burn of a reasoning model.

Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 5 evidence categories; 2 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) is clearly ahead on the BenchAlign aggregate, 59.35 to 43.87. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Kimi K2.5 (Reasoning)'s sharpest advantage is in coding, where it averages 76.8 against 27. The single biggest benchmark swing on the page is GPQA, 87.6% to 59%.

Kimi K2.5 (Reasoning) is the reasoning model in the pair, while Ling 2.6 Flash 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. Ling 2.6 Flash gives you the larger context window at 262K, 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 K2.5 (Reasoning) and Ling 2.6 Flash
CategoryKimi K2.5 (Reasoning)ΔLing 2.6 Flash
CodingKimi K2.5 (Reasoning)76.8Margin 49.8Ling 2.6 Flash27.0
KnowledgeKimi K2.5 (Reasoning)87.2Margin 28.2Ling 2.6 Flash59.0
AgenticKimi K2.5 (Reasoning)55.0MarginNo overlapLing 2.6 FlashNot measured
MultimodalKimi K2.5 (Reasoning)78.5MarginNo overlapLing 2.6 FlashNot measured
Inst. FollowingKimi K2.5 (Reasoning)Not measuredMarginNo overlapLing 2.6 Flash57.0

Decisive benchmark drivers

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

More
A · Kimi K2.5 (Reasoning)B · Ling 2.6 Flash
  1. GPQA

    Knowledge
    Source ↗
    A 87.6%B 59%
    Winner: Kimi K2.5 (Reasoning)Δ 28.6
    GPQA: Kimi K2.5 (Reasoning) scored 87.6%; Ling 2.6 Flash scored 59%. Kimi K2.5 (Reasoning) wins this benchmark.

Operational comparison

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

MetricKimi K2.5 (Reasoning)Ling 2.6 FlashComparison
Input / output priceUSD per 1M tokensKimi K2.5 (Reasoning)$0.6 input / $3 outputLing 2.6 FlashNot availableA complete price comparison is not available.
Generation speedtokens per secondKimi K2.5 (Reasoning)Not availableLing 2.6 Flash209.5 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.5 (Reasoning)Not availableLing 2.6 Flash1.07 sA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.5 (Reasoning)128KLing 2.6 Flash262KLing 2.6 Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
Terminal-Bench 2.0Source 50.8%Not comparable
BrowseCompSource 60.6%Not comparable
APEX-Agents-AASource 11.5%Not comparable
τ²-bench resultsSource 95.9%86%Kimi K2.5 (Reasoning) leads
Gert LabsSource 32.58%Not comparable
AA Agentic IndexSource 21.7%2.3%Kimi K2.5 (Reasoning) leads
GDPval-AASource 25.4%2.2%Kimi K2.5 (Reasoning) leads
GDPval-AASource 1009545Kimi K2.5 (Reasoning) leads
CodingKimi K2.5 (Reasoning) wins
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
SWE-bench VerifiedSource 76.8%Not comparable
Vibe Code BenchSource 17.54%Not comparable
AA-SciCodeSource 49.0%27.1%Kimi K2.5 (Reasoning) leads
AA Coding IndexSource 46.8%25.3%Kimi K2.5 (Reasoning) leads
SciCodeSource 27%Not comparable
Reasoning
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
AA-LCRSource 65.3%25.0%Kimi K2.5 (Reasoning) leads
CritPtSource 3.1%0.0%Kimi K2.5 (Reasoning) leads
KnowledgeKimi K2.5 (Reasoning) wins
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
GPQASource 87.6%59%Kimi K2.5 (Reasoning) leads
MMLU-ProSource 87.1%Not comparable
Artificial Analysis Intelligence IndexSource 35.4%14.1%Kimi K2.5 (Reasoning) leads
AA-GPQA DiamondSource 87.9%59.3%Kimi K2.5 (Reasoning) leads
AA-HLESource 29.4%6.2%Kimi K2.5 (Reasoning) leads
AA-Omniscience IndexSource -8.1%-65.7%Kimi K2.5 (Reasoning) leads
AA-Omniscience AccuracySource 34.3%15.4%Kimi K2.5 (Reasoning) leads
AA-Omniscience Hallucination RateSource 64.6%95.8%Kimi K2.5 (Reasoning) leads
Math
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
AIME 2025Source 96.1%Not comparable
Multimodal
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
MMMU-ProSource 78.5%Not comparable
AA-MMMU-ProSource 75.4%Not comparable
Design Arena WebsiteSource 1279Not comparable
Inst. Following
BenchmarkKimi K2.5 (Reasoning)Ling 2.6 FlashResult
AA-IFBenchSource 70.2%57.4%Kimi K2.5 (Reasoning) leads
IFBenchSource 57%Not comparable
Frequently Asked Questions (3)

Which is better, Kimi K2.5 (Reasoning) or Ling 2.6 Flash?

Kimi K2.5 (Reasoning) is ahead on BenchLM's BenchAlign leaderboard, 59.35 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 87.6% and 59%.

Which is better for knowledge tasks, Kimi K2.5 (Reasoning) or Ling 2.6 Flash?

Kimi K2.5 (Reasoning) has the edge for knowledge tasks in this comparison, averaging 87.2 versus 59. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.

Which is better for coding, Kimi K2.5 (Reasoning) or Ling 2.6 Flash?

Kimi K2.5 (Reasoning) has the edge for coding in this comparison, averaging 76.8 versus 27. Inside this category, AA-SciCode is the benchmark that creates the most daylight between them.

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Last updated: July 21, 2026

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