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  4. Kimi K2
Kimi
Released July 11, 2025Cutoff December 2024

Kimi K2

Kimi K2 is Moonshot AI's agentic MoE language model trained with the MuonClip optimizer, featuring native tool-parsing and a non-thinking reflex design.

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Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

Kimi K2 - Open Agentic Intelligence

Kimi K2 is Moonshot AI's mixture-of-experts language model, released as a non-reasoning Base and post-trained Instruct edition. Rather than leaning on extended chain-of-thought, it is described as a reflex-grade model built to act through tools instead of just answering.

TraitDocumented Behavior
MuonClip OptimizerScales the Muon optimizer to an unprecedented size and adds techniques to resolve instability during large-scale pretraining.
Agentic-First DesignBuilt specifically for tool use, reasoning, and autonomous problem-solving rather than general chat alone.
Native Tool-Parsing LogicShips with Kimi K2's own tool-call parsing format, requiring an inference engine that supports it directly.
DeepSeek-V3-derived ArchitectureReduces attention head count for long-context efficiency and raises MoE sparsity for greater token efficiency.
Reflex-Grade Response StyleRuns as a non-thinking model, producing direct answers and tool actions without a long reasoning phase.

Acting, Not Just Answering

Moonshot frames Kimi K2 around autonomous execution rather than conversation alone. Documented examples include multi-step planning across search, calendar, and booking tools, and command-line sessions where the model edits files and runs commands on its own to reach a goal.

Benchmark Performance

Independent evaluations · Artificial Analysis

19.7%
Intelligence

Accuracy & Capability Details

GPQA - Graduate Science76.6%
Humanity's Last Exam7.4%
SciCode - Scientific Coding34.5%
Instruction Following41.5%
Long Context Reasoning53.0%
τ²-Bench - Agentic Tasks61.1%
TerminalBench - System Control15.9%
Specs
Context window
131Ktokens
Input pricing
$0.57per 1M tokens
Output pricing
$2.30per 1M tokens
Cached input
$0.36per 1M tokens

Prices in USD.

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderKimiAnthropicAnthropic
Release DateJuly 11, 2025July 24, 2026June 9, 2026
Knowledge CutoffDec 2024May 2026-
Context & Limits
Context Window131K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.57
Best Input Pricing
$5$10
Output Pricing
$2.30
Best Output Pricing
$25$50
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index19.7
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
Kimi K2
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

77%
Kimi K2
GPQA Benchmark
Score: 77%
Kimi K2
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

7%
Kimi K2
Humanity's Last Exam
Score: 7%
Kimi K2
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

53%
Kimi K2
Long Context Reasoning
Score: 53%
Kimi K2
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

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

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