Moonshot AI: Kimi K2 0905

Public pricingIntelligence 83/100Large memoryUso de ferramentas

MoonshotAI: Kimi K2 0905 é um modelo texto criado para chat geral, análise e uso em produção. Ele combina desempenho geral estável, um contexto de 262K tokens e um perfil custo equilibrado para entregar trabalho confiável em general chat, analysis, and production workloads.

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.

  • frontiermath_tier_4

    0

  • gpqa_diamond

    84.22

  • humaneval

    94.5

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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