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Kimi K3 vs Trinity Large Thinking

Kimi K3 (Moonshot) and Trinity Large Thinking (Arcee AI) compared on benchmarks, pricing, context window, and use-case rankings.

AttributeKimi K3Moonshot · 39 in the newsTrinity Large ThinkingArcee AI
Scores
Intelligence (ECI)158
Coding9718
Math81
Reasoning & Knowledge7319
Agentic & Tools8058
Specifications
DeveloperMoonshotArcee AI
FamilyKimi
ReleasedJul 16, 2026Apr 1, 2026
Parameters2.8T
AvailabilityOpen weights (non-commercial)
Context window1M262K
Price — $/M input$2.55$0.25
Price — $/M output$12.75$0.80
Inputstext, image, videotext
Outputstexttext
Benchmarks
AIME 2024/202597%
APEX39%
ARC-AGI95%
ARC-AGI-260%
GPQA Diamond93%75%
Humanity's Last Exam47%16%
SciCode60%41%
SimpleBench61%
SimpleQA Verified51%
WebDev Arena16741238
WeirdML83%
τ²-bench90%

Use-case scores are 0–100 percentile composites across each area’s benchmarks, ranked against every model from the past year. Highlighted cells lead each row. Open a model for the full picture.

Frequently asked questions

Which is cheaper, Kimi K3 or Trinity Large Thinking?

Trinity Large Thinking is cheaper on input tokens at $0.25 per million, versus $2.55 (representative OpenRouter pricing).

Which has a larger context window, Kimi K3 or Trinity Large Thinking?

Kimi K3 supports up to 1M tokens, compared with 262K for the other.

Which is better for coding, Kimi K3 or Trinity Large Thinking?

Across coding benchmarks like SWE-bench Verified and Terminal-Bench, Kimi K3 ranks higher — 97th vs 18th percentile among the models tracked on Model Beat.

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Benchmarks & model data from Epoch AI (CC BY); pricing & specs from OpenRouter. ECI = Epoch Capabilities Index.