Moonshot AI: Kimi K2 0905

Public pricingIntelligence 83/100Large memoryاستخدام الأدوات

MoonshotAI: Kimi K2 0905 هو نموذج نصي مخصص لـالدردشة العامة والتحليل والاستخدام الإنتاجي. يجمع بين أداء عام ثابت وسياق بحجم 262K tokens وملف متوازن التكلفة لتقديم عمل موثوق في general chat, analysis, and production workloads. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.40/1M

Output

$2.00/1M

Cached

$0.15/1M

Batch

$0.30/1M

Calculate your Kimi K2 0905 bill.

Set your workload — see cost at your exact volume.

What would Kimi K2 0905 cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

Technical specifications

Kimi K2 0905 at a glance.

Memory

262,144

tokens

Max reply

262,144

tokens

Memory tier

Large

an entire book or large codebase

Tokenizer

—

Released

Sep 2025

Training cutoff

Jun 2025

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • humaneval

    94.5

  • 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 0905

  • Agentic workflows that call tools or APIs.
  • Long documents, full codebases, or extensive chat histories.
  • High-volume workloads where unit cost matters.
  • Code generation, review, or refactoring.

When to look elsewhere

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

Alternatives

Similar models to compare.

FAQ

Kimi K2 0905 — 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 0905 costs roughly $110 per month. Input is $0.40 /1M tokens and output is $2.00 /1M tokens.
Kimi K2 0905 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 0905 supports calling functions / tools, strict JSON output. It streams replies by default.
Kimi K2 0905 was released in September 2025, with training data cut off around June 2025.
Models in a similar class include Kimi K2.5, Kimi K2 Thinking, GPT-4.1 Mini. The "Similar models" section below this FAQ links into each.

Still unsure?

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