Kimi
Released January 27, 2026

Kimi K2.5

Kimi K2.5 by Moonshot AI is a native multimodal agentic model with 1T-param MoE, Agent Swarm execution, vision-grounded coding, and 256K context.

Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

Kimi K2.5 - Native Multimodal Agentic Model

Kimi K2.5 is an open-source model from Moonshot AI, built via continual pretraining on roughly 15 trillion mixed visual and text tokens atop the Kimi K2-Base checkpoint. Vision-language understanding is trained in from the start, paired with agentic execution and selectable instant/thinking response modes.

Defining Characteristics

  • Native Multimodality: vision-language tokens are part of pretraining itself, supporting visual knowledge, cross-modal reasoning, and tool use grounded in images and video.
  • Coding with Vision: generates code directly from visual specifications such as UI designs and video workflows.
  • Agent Swarm: moves from single-agent execution to a coordinated swarm scheme, decomposing tasks into parallel sub-tasks run by dynamically instantiated, domain-specific agents.

Why It Exists

Kimi K2.5 extends the Kimi K2 architecture into one model handling vision, language, and long-horizon agentic execution together, rather than layering multimodality onto a text-only base.

Benchmark Performance

Independent evaluations · Artificial Analysis

23.5%
Intelligence
46.8%
Coding Index
21.7%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science87.9%
Humanity's Last Exam30.7%
SciCode - Scientific Coding49.0%
Instruction Following70.2%
Long Context Reasoning78.0%
τ²-Bench - Agentic Tasks95.9%
TerminalBench - System Control34.8%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderKimiAnthropicAnthropic
Release DateJanuary 27, 2026September 22, 2026September 28, 2026
Knowledge Cutoff--Jun 2026
Context & Limits
Context Window262K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.60
Best Input Pricing
$4$2
Output Pricing
$3
Best Output Pricing
$20$10
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index19.4
57.6
Best Intelligence Index
56.0
Coding Index---
Agentic Index---
Kimi K2.5
Claude Opus 5.5
Claude Sonnet 5.5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

13%
Kimi K2.5
Humanity's Last Exam
Score: 13%
Kimi K2.5
61%
Claude Opus 5.5
Humanity's Last Exam
Score: 61%
Claude Opus 5.5
55%
Claude Sonnet 5.5
Humanity's Last Exam
Score: 55%
Claude Sonnet 5.5

Long Context Reasoning

Logical reasoning over long context windows.

67%
Kimi K2.5
Long Context Reasoning
Score: 67%
Kimi K2.5
85%
Claude Opus 5.5
Long Context Reasoning
Score: 85%
Claude Opus 5.5
83%
Claude Sonnet 5.5
Long Context Reasoning
Score: 83%
Claude Sonnet 5.5

SciCode Benchmark

Scientific coding and mathematical modeling.

40%
Kimi K2.5
SciCode Benchmark
Score: 40%
Kimi K2.5
67%
Claude Opus 5.5
SciCode Benchmark
Score: 67%
Claude Opus 5.5
61%
Claude Sonnet 5.5
SciCode Benchmark
Score: 61%
Claude Sonnet 5.5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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