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Model comparison

Kimi K2.5 (Reasoning) vs Trinity-Large-Preview

Data verified

Head-to-head evidence from 14 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.35/100
Margin
3.4pts
← winning
55.94/100
0 category wins0 category wins

Public leaderboard positions: Kimi K2.5 (Reasoning) #57 (Estimated); Trinity-Large-Preview #79 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Kimi K2.5 (Reasoning) and Trinity-Large-Preview share 14 comparable benchmark results. 0 of 8 categories are comparable. 13 results are unique to Kimi K2.5 (Reasoning); 4 to Trinity-Large-Preview.

Updated July 21, 2026
Shared results
14
Kimi K2.5 (Reasoning) only
13
Trinity-Large-Preview only
4
Comparable categories
0 / 8

Benchmark data for Kimi K2.5 (Reasoning) and Trinity-Large-Preview is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Kimi K2.5 (Reasoning) is priced at $0.60 input / $3.00 output per 1M tokens, versus $0.25 input / $1.00 output per 1M tokens for Trinity-Large-Preview. Trinity-Large-Preview has the larger context window at 512K, 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 Trinity-Large-Preview
CategoryKimi K2.5 (Reasoning)ΔTrinity-Large-Preview
AgenticKimi K2.5 (Reasoning)55.0MarginNo overlapTrinity-Large-PreviewNot measured
CodingKimi K2.5 (Reasoning)76.8MarginNo overlapTrinity-Large-PreviewNot measured
KnowledgeKimi K2.5 (Reasoning)87.2MarginNo overlapTrinity-Large-PreviewNot measured
MultimodalKimi K2.5 (Reasoning)78.5MarginNo overlapTrinity-Large-PreviewNot measured

Operational comparison

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

MetricKimi K2.5 (Reasoning)Trinity-Large-PreviewComparison
Input / output priceUSD per 1M tokensKimi K2.5 (Reasoning)$0.6 input / $3 outputTrinity-Large-Preview$0.25 input / $1 outputTrinity-Large-Preview has the lower combined listed price.
Generation speedtokens per secondKimi K2.5 (Reasoning)Not availableTrinity-Large-PreviewNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenKimi K2.5 (Reasoning)Not availableTrinity-Large-PreviewNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensKimi K2.5 (Reasoning)128KTrinity-Large-Preview512KTrinity-Large-Preview lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
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%90.1%Kimi K2.5 (Reasoning) leads
Gert LabsSource 32.58%Not comparable
AA Agentic IndexSource 21.7%Not comparable
GDPval-AASource 25.4%2.7%Kimi K2.5 (Reasoning) leads
GDPval-AASource 1009554Kimi K2.5 (Reasoning) leads
Coding
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
SWE-bench VerifiedSource 76.8%Not comparable
Vibe Code BenchSource 17.54%Not comparable
AA-SciCodeSource 49.0%36.1%Kimi K2.5 (Reasoning) leads
AA Coding IndexSource 46.8%Not comparable
Reasoning
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
AA-LCRSource 65.3%33.0%Kimi K2.5 (Reasoning) leads
CritPtSource 3.1%0.9%Kimi K2.5 (Reasoning) leads
Knowledge
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
GPQASource 87.6%Not comparable
MMLU-ProSource 87.1%Not comparable
Artificial Analysis Intelligence IndexSource 35.4%24.5%Kimi K2.5 (Reasoning) leads
AA-GPQA DiamondSource 87.9%75.2%Kimi K2.5 (Reasoning) leads
AA-HLESource 29.4%14.7%Kimi K2.5 (Reasoning) leads
AA-Omniscience IndexSource -8.1%-44.2%Kimi K2.5 (Reasoning) leads
AA-Omniscience AccuracySource 34.3%22.8%Kimi K2.5 (Reasoning) leads
AA-Omniscience Hallucination RateSource 64.6%86.6%Kimi K2.5 (Reasoning) leads
MMLUSource 87.2%Not comparable
MMLU-Pro (Arcee)Source 75.2%Not comparable
GPQA-DSource 63.3%Not comparable
Math
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
AIME 2025Source 96.1%Not comparable
AIME25 (Arcee)Source 24.0%Not comparable
Multimodal
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
MMMU-ProSource 78.5%Not comparable
AA-MMMU-ProSource 75.4%Not comparable
Design Arena WebsiteSource 12791165Kimi K2.5 (Reasoning) leads
Inst. Following
BenchmarkKimi K2.5 (Reasoning)Trinity-Large-PreviewResult
AA-IFBenchSource 70.2%56.3%Kimi K2.5 (Reasoning) leads
Frequently Asked Questions (3)

Can I compare Kimi K2.5 (Reasoning) and Trinity-Large-Preview on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Kimi K2.5 (Reasoning) and Trinity-Large-Preview today?

Kimi K2.5 (Reasoning): $0.60 input / $3.00 output per 1M tokens Trinity-Large-Preview: $0.25 input / $1.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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