Moonshot Kimi K2 Instruct

by Moonshot AIChat

Kimi model for long-context chat, coding, and agentic reasoning

Context
131K tokens
Max output
131,072 tokens
Parameters
1.03T total
Released
2025-07-11
Weights
Open
Licence
modified-mit

FeedWeights on Hugging Face

moonshotai/kimi-k2-instruct · also seen as moonshot-kimi-k2-instruct, baseten/Kimi-K2-Instruct-FP4, deepinfra/moonshotai/Kimi-K2-Instruct, accounts/fireworks/models/kimi-k2-instruct

Specifications

Full facts as recorded, incl. what is unknown.

Released
2025-07-11
Weights
Opennot gated
License
modified-mit
Input
Text
Output
Text
Context window
131,072 max across endpoints
Max output
131,072
Providers
9 + 4 gateways, not counted as providers
Epoch Capabilities Index
not evaluated
Direct price range
$0.50–$2.00 in · $2.00–$3.00 out per 1M tokens · across all 9 providers
More details
Last updated
2026-01
Knowledge cutoff
2024-10
Weights link
Hugging Face · moonshotai/Kimi-K2-Instruct
Parameters
1.03T total

Capabilities

Across all endpoints: supported if any endpoint supports it.

  • Tool calling
  • Parallel tools
  • Structured output
  • Reasoning
  • Image input
  • PDF input
  • Audio input
  • Audio outputunknown
  • Video input
  • Prompt cachingunknown
  • Web searchunknown
  • Computer useunknown
  • System messages
  • Assistant prefillunknown
  • Temperature
  • Streamingunknown
  • Attachments

Endpoints

One row per provider and variant; gateways are listed separately.

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Price history

Atom feed

No change since 19 Oct 2026. The cheapest direct price has been $0.50 in / $2.00 out per 1M tokens at Deep Infra on every data refresh since then.

Tracked from 19 Oct 2026. Headline-eligible direct prices only, so a price the sanity check flags never draws a spike. Series as JSON

Cost calculator

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Blended rate per 1M tokens, each at its own cheapest provider (10M input : 2M output mix).

ModelBlended/1MIn/1MOut/1MContextvs Moonshot Kimi K2 Instruct
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Heads up: prices are indicative list rates scraped from provider pricing pages; verify with the provider before relying on them. Report incorrect data for this model