Moonshot AI: Kimi K2 Thinking

Public pricingIntelligence 81/100Large memoryRéflexion approfondieOutils

MoonshotAI: Kimi K2 Thinking est un modèle texte conçu pour raisonnement, planification et automatisation. Il associe une utilisation fiable des outils et des agents et un raisonnement et une planification poussés, un contexte de 262K tokens et un profil à coût équilibré pour un travail fiable sur reasoning, planning, and multi-step automation.

Input

$0.60/1M

Output

$2.50/1M

Cached

$0.15/1M

Batch

$0.30/1M

Calculate your Kimi K2 Thinking bill.

Set your workload — see cost at your exact volume.

What would Kimi K2 Thinking cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Kimi K2 Thinking at a glance.

Memory

262,144

tokens

Max reply

262,144

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Nov 2025

Training cutoff

Jul 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • aa_intelligence_index

    41

  • frontiermath_tier_4

    0

  • gpqa_diamond

    84.22

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 Thinking

  • Multi-step reasoning, research agents, or hard math.
  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Kimi K2 Thinking — 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 Thinking costs roughly $145 per month. Input is $0.60 /1M tokens and output is $2.50 /1M tokens.
Kimi K2 Thinking 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 Thinking supports deep step-by-step reasoning, calling functions / tools, strict JSON output. It streams replies by default.
Kimi K2 Thinking was released in November 2025, with training data cut off around July 2025.
Models in a similar class include Kimi K2.5, Gemini 3 Flash Preview, GPT-5.4 Mini. The "Similar models" section below this FAQ links into each.

Still unsure?

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