Today's price · per 1M tokens
Input
$3.00
per 1M tokens
Output
$15.00
per 1M tokens
Blended
$6.00
blended $/1M — 3:1 weighted input:output
Cached input
$0.300
10% of input — prompt caching
Price receipt
We read Moonshot's own pricing page on and found kimi-k3 listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 32c9352d11.
Overview
Moonshot's flagship 2.8T-parameter open-weight (MoE) multimodal reasoning model with a 1M-token context, built for complex coding, knowledge work, and long-horizon agentic workflows. OpenAI-compatible API. $3.00/$15.00 per 1M tokens; cached $0.30.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is better- AA Intelligence Index: 43.6 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: 19.7 (−100–100)
- GDPval-AA v2: 1564.7 ELO (Real-world work tasks, human baseline = 1000)
- LMSYS Chatbot Arena: 1484.8 ELO (Human preference)
- Ranks #8 of 100 benchmarked models by average score
- Ranks #19 of 195 comparably-measured models by percentile score, across 11 independent measurements
- Ranks #152 of 195 comparably-tested models by normalized performance per dollar
- Strongest at MCP Atlas — 84.2%, #1 of 28
35.2 tokens/sec output 4.46s latency to first token (TTFT)
Source: Vellum LLM Leaderboard · updated · See full rankings →
Specifications
- Provider
- Moonshot
- Context window
- 1M tokens
- Modality
- text, image
- Parameters
- Proprietary
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Moonshot's own page