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Kimi K2.5

Kimi K2.5 is a multimodal foundation model developed by Moonshot AI. It has a large-scale architecture with approximately 10 trillion parameters and a 256K context window.

Parameters

10000.0B

Context Window

256K

License

https://github.com/openai/gpt-2/blob/master/LICENSE

Release Date

2026-01-27

API Pricing

API pricing for this model is not yet available

Strengths

  • Massive 10-trillion parameter scale
  • Wide 256K context window
  • Advanced multimodal support

Weaknesses

  • Very large 595GB model size
  • Closed licensing model
  • Requires extremely high compute resources

Use Cases

  • Ultra-large-scale data analysis and processing
  • Understanding and summarizing long documents
  • Integrating multimodal information

Deep Analysis

Architecture

MoE (~1T total, 32B active)

Open-source multimodal agentic model

Context Window

256K tokens

Training Data

~15T tokens

Mixed visual and text data

Release Date

January 27, 2026

License

Open-source (custom)

Modalities

Text + Vision

Native multimodal

Strengths

  • Native multimodal agentic model with vision
  • Beats Claude Opus 4.5 on several benchmarks
  • Open-source with 15T token training
  • Strong coding agent capabilities
  • Visual agentic intelligence for complex tasks

Weaknesses

  • Large model size requires significant compute
  • Custom license may limit some commercial uses
  • Relatively new with limited community tooling

Competitor Comparison

ModelArenaSWEGPQAPrice
Claude Opus 4.5---Higher (closed)
GPT-5---Higher (closed)
DeepSeek V3---Comparable

Kimi K2.5 is Moonshot AI's most powerful open-source model, combining native multimodal understanding with advanced agentic capabilities. Released January 2026, it outperforms Claude Opus 4.5 on several benchmarks and introduces visual agentic intelligence.

Analysis generated: 2026-05-24