Kimi K2.5
kimi-k2.5Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed... Built by MoonshotAI.
Prices updated
Input price
$0.45
per 1M tokens · Standard
Output price
$2.25
per 1M tokens · Standard
Input limit
262K
tokens
Output limit
236K
tokens
Input formats
Output formats
Kimi K2.5 price history
2 price records since 9/25/2026
Kimi K2.5 cost calculator
$20/month
Standard pricing
Overview
What is Kimi K2.5?
Kimi K2.5 is a text & reasoning and vision model from MoonshotAI. Kimi K2.5 is Moonshot AI's native multimodal model, delivering state-of-the-art visual coding capability and a self-directed agent swarm paradigm. Built on Kimi K2 with continued pretraining over approximately 15T mixed... Its 262K context window and $0.45 input price make it a candidate for quality-focused production applications.
Benchmarks
Kimi K2.5 benchmarks & speed
How Kimi K2.5 scores on standardized evaluations, and where it lands among every model we track.
23.5
Intelligence Index
1240
DesignArena Elo
Reasoning
GPQA Diamond
87.9%
Graduate-level scientific reasoning · top 32%
HLE
30.7%
Humanity's Last Exam · top 35%
Latency & design
- DesignArena win rate
- 54.1%
- Design battles judged
- 41,629
Independent scores from Artificial Analysis and DesignArena · updated 10/8/2026. Higher is better; ranks compare against every model we track with that score.
Rates
Kimi K2.5 pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.45
Per 1M tokens
Cached input · Standard
$0.07
Per 1M tokens
Capabilities
Kimi K2.5 Tools
Tools available when using Kimi K2.5 through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Supported
Strengths and limitations
Strengths
- Measured results (AA Intelligence 23.5 · DesignArena Elo 1240) position it for demanding production work.
- 262K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Generated tokens cost 5× more than input tokens, which matters for verbose responses.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider
