MoonshotAIFastReleased 4 September 2025

Kimi K2 0905 pricing, context and benchmark

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2).

262K
Input context
98K
Output context
$0.6
Official input
$2.5
Official output
n/a
AA index

Everything that matters, in one table

Context, pricing, cache, modalities and tooling, from the model registry and Artificial Analysis.

ModelKimi K2 0905
Model IDmoonshotai/kimi-k2-0905
ProviderMoonshotAI
Release date4 September 2025
StatusGenerally available
Input context262,144 tokens
Output context98,304 tokens
Official input pricing$0.6 per 1M tokens
Official output pricing$2.5 per 1M tokens
Cache read pricingNot published
Market input pricing$0.6 per 1M (cheapest route)
Market output pricing$2.5 per 1M (cheapest route)
Input modalitiestext
Output modalitiestext
Reasoning controlNot exposed
Tool supportFunctions, tool choice, structured outputs
TokenizerOther
Provider routes1 endpoint
Artificial Analysis indexNot published
SpeedNot published
Knowledge cutoffNot publicly stated

Input and output support

ModalityInputOutputBilled at
Text✓ yes✓ yes$0.6 in
Imagenononot supported
Audionononot supported
Videonononot supported
File (PDF)nononot supported

What is Kimi K2 0905?

Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2).

It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32...

Kimi K2 0905 carries a 262K token window, uses the Other tokenizer and is served by MoonshotAI. On Hoodgen it sits in the Fast tier of the model menu next to its siblings, so you can switch mid conversation without losing the thread.

Release and what changed from the previous version

Released4 September 2025

This is the only release of Kimi K2 0905 on OpenRouter, released 4 September 2025. The provider has not published a knowledge cutoff, so treat training data as recent but unconfirmed for very new events.

Features and capabilities

⚙
Function calling
Tools, tool choice and parallel calls, which is what agent loops need to act on results.
{ }
Structured outputs
Schema constrained JSON with response_format, so no parse and retry loop in your code.
⌁
Seeds
A seed can be pinned so the same prompt is reproducible across test runs.

What can you do with Kimi K2 0905?

High volume drafts
Captions, titles, product blurbs and rewrite passes where cost per call dominates.
Inline assistants
Autocomplete, quick replies and menu helpers that must answer inside a second.
Batch classification
Tagging, routing and extraction across thousands of short inputs.
Cheap agent loops
Tool calling loops that do not need frontier grade reasoning.

Kimi K2 0905 pricing

Official pricing

List price
$0.6 / 1M in
$2.5 / 1M out
  • 262K context
  • text input
Cheapest route
$0.6 / 1M in
$2.5 / 1M out
  • 1 route on OpenRouter
  • What Hoodgen routes to first
  • Same model, lower bill

Market pricing, every route

ProviderTierInputOutputCache readUptime 24h
Novitastandard$0.6$2.5n/a100.0%

API pricing and cost calculator

RatePer callTotalCredits
Cheapest route$0.0158$7.887482
List price$0.0158$7.887482

API and developer information

Model IDmoonshotai/kimi-k2-0905
Endpointhttps://openrouter.ai/api/v1/chat/completions
Parametersfrequency_penalty · logprobs · max_tokens · presence_penalty · repetition_penalty · response_format · seed · stop · structured_outputs · temperature · tool_choice · tools · top_k · top_logprobs · top_p
StreamingYes, server sent events
Modality stringtext->text
Max prompt tokens262,144
Max completion tokens98,304
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "moonshotai/kimi-k2-0905",
    "messages": [{ "role": "user", "content": "Summarise this document." }],
    "max_tokens": 1024
  }'

Model limitations

Text only outputIt cannot generate images, audio or video. Pair it with an image model on Hoodgen when you need visuals.
Output cap98,304 tokens per request. Long deliverables have to be chunked.
Benchmarks not publishedArtificial Analysis does not publish an Intelligence Index for this release, so no benchmark score is claimed here.
Knowledge cutoffThe provider does not state a fixed cutoff for every release. Verify very recent events against search.
Depth ceilingFast tier: strong on throughput, weaker than flagship tiers on long multi step reasoning.

Kimi K2 0905 vs other MoonshotAI models

ModelContextInput /1MOutput /1MAA indexReleased
Kimi K2 0905262K$0.6$2.5n/a2025
Kimi K2 Thinking262K$0.6$2.5n/a2025
Kimi K2.6262K$0.39$1.8n/a2026
Kimi K3.1 Pro1.05M$0.237$8.41146Oct 2026

Privacy and data policy

  • On Hoodgen, prompts and attachments answer that request and stay in your conversation history so you can reopen it. They are not used to train models.
  • Requests route through OpenRouter to MoonshotAI and are covered by that provider's API terms.
  • Do not paste secrets or personal data you would not send to any hosted model.

Kimi K2 0905 questions, answered

Kimi K2 0905 is a fast model from MoonshotAI, released 4 September 2025. Kimi K2 0905 is the September update of [Kimi K2 0711](moonshotai/kimi-k2).
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Start chatting with Kimi K2 0905

Free to try on Hoodgen AI, with a live credit estimate before every send. No API key, no setup.