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MoonshotAI: Kimi K2 0905 API Pricing

MoonshotAI: Kimi K2 0905 costs $0.600 per 1M input tokens and $2.50 per 1M output tokens. Context window: 262K. Prices verified 2026-10-21 · source

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Price history
2026-08-23 → 2026-10-21 · 59 daily snapshots
inputoutput

Rebuilt daily from our snapshot archive — the chart appears once a model has 5+ snapshots of history.

Community adoption
39K
HF downloads
790
Likes

High adoption means battle-tested weights, more fine-tunes/quants, and faster bug fixes. View on HuggingFace →

Pricing behavior
Stable — no price moves across our 59 daily snapshots (2026-08-23 → 2026-10-21).

From our own daily snapshot archive — independent of provider announcements.

Intelligence & capability
via Artificial Analysis
15.3
Intelligence index · top 61% of 288 scored
$1.075
Blended $/1M (3:1 in:out)

Intelligence measures reasoning/knowledge/coding benchmarks. A high score with a low blended price = value pick; check the value chart to see where this model lands.

Input / 1M tokens
$0.600
Output / 1M tokens
$2.50
Context window
262K
Max output
98K
Knowledge cutoff
2024-12-31

Training data ends here — newer events require retrieval or web search.

What would MoonshotAI: Kimi K2 0905 cost you per month?

WorkloadRequests/moAvg tokens (in/out)Est. monthly cost
Light chatbot10,000800 / 400$14.80
Coding agent5,0008,000 / 2,000$49.00
RAG pipeline30,0004,000 / 500$109.50
Doc summarizer2,00020,000 / 1,000$29.00

Estimates use list prices without prompt caching. Caching can cut input cost by up to 90% on repeated context.

About MoonshotAI: 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...

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Frequently asked questions

How much does MoonshotAI: Kimi K2 0905 cost?

MoonshotAI: Kimi K2 0905 costs $0.600 per 1M input tokens and $2.50 per 1M output tokens. Verified 2026-10-21 — provider source.

What is the context window?

262K tokens, with up to 98K output tokens per response. That's roughly 328 pages of text in a single request.

Does it support prompt caching?

Prompt-caching pricing is not published for this model via OpenRouter.

What's a cheaper alternative?

ScaleDown: Summarize saves about 98% on a typical workload with comparable quality.

Official resources