Kimi K2 Instruct

Kimi K2 0905. Kimi-k2 is a Mixture-of-Experts (MoE) foundation model with exceptional coding and agent capabilities, featuring 1 trillion total parameters and 32 billion activated parameters. In benchmark evaluations covering general knowledge reasoning, programming, mathematics, and agent-related tasks, the K2 model outperforms other leading open-source models. Quantized at FP8.

  • Tool Calling
  • Structured Output

Pricing

Auto routing · per 1M tokens
Input
$0.40
Output
$1.80
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Specifications

Context window
256K
Max output
8.2K
Parameters
1T / 32B
Total / active
Avg output (7d)
755 tokens
Longer than 59% of models

Benchmarks

Sourced from Artificial Analysis.

Intelligence Index

12.7

Better than 49% of models compared

Agentic work

T²-Bench Telecom (legacy)

Legacy fallback · Conversational AI agents in dual-control scenarios

61.1%

Better than 57% of models compared

Document reasoning

AA-LCR v1.1

Long context reasoning with updated grading

53.0%

Better than 46% of models compared

Reasoning

HLE

Humanity's Last Exam

7.4%

Better than 43% of models compared

IFBench

Instruction-following benchmark

41.5%

Better than 42% of models compared

Coding

Terminal-Bench Hard (legacy)

Legacy fallback · Agentic coding and terminal use

15.9%

Better than 53% of models compared

LiveCodeBench

Contamination-free coding benchmark

55.6%

Better than 62% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

57.0%

Better than 54% of models compared

AIME

American Invitational Mathematics Examination

69.3%

Better than 79% of models compared

Math-500

Diverse mathematical problem solving benchmark

97.1%

Better than 87% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

82.4%

Better than 80% of models compared

Legacy benchmarks

GPQA Diamond (legacy)

Graduate-level scientific reasoning

76.6%

Better than 60% of models compared

AA-LCR (unversioned / legacy)

Long context reasoning evaluation

53.0%

Better than 46% of models compared

Last updated Oct 3, 2026

Artificial Analysis

Providers

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