Moonshot AI: Kimi K2.5

Public pricingIntelligence 82/100Large memoryVisionDeep thinkingTool use

MoonshotAI: Kimi K2.5 is a multimodal model for coding, software engineering, and agent workflows. It combines multimodal input handling and strong coding performance with a 262K tokens context window and a balanced-cost profile. Use it for coding, software engineering, and agent workflows when quality, speed, and cost matters.

Input

$0.44/1M

Output

$2.00/1M

Cached

$0.22/1M

Batch

$0.30/1M

Calculate your Kimi K2.5 bill.

Set your workload — see cost at your exact volume.

What would Kimi K2.5 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Kimi K2.5 at a glance.

Memory

262,144

tokens

Max reply

65,535

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Jan 2026

Training cutoff

Oct 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • swe_bench_verified

    76.8

  • aa_intelligence_index

    47

  • gpqa_diamond

    87.6

  • frontiermath_tier_4

    4.2

  • humanitys_last_exam

    24.37

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Kimi K2.5

  • Multi-step reasoning, research agents, or hard math.
  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Kimi K2.5 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Kimi K2.5 costs roughly $113 per month. Input is $0.44 /1M tokens and output is $2.00 /1M tokens.
Kimi K2.5 has a 262,144-token context window (large memory — an entire book or large codebase). That means you can fit about 49,152 words of input and history in a single call.
Beyond text generation, Kimi K2.5 supports understanding images, deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
Kimi K2.5 was released in January 2026, with training data cut off around October 2025.
Models in a similar class include Gemini 3 Flash Preview, Gemini 2.5 Flash, Gemini 3.1 Flash Lite Preview. The "Similar models" section below this FAQ links into each.

Still unsure?

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