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MoonshotAI: Kimi K2 0905Sunset

moonshotai/kimi-k2-0905
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Kimi K2 0905 is the September update of Kimi K2 0711. It is a large-scale Mixture-of-Experts (MoE) language model developed by Moonshot AI, featuring 1 trillion total parameters with 32 billion active per forward pass. It supports long-context inference up to 256k tokens, extended from the previous 128k.

This update improves agentic coding with higher accuracy and better generalization across scaffolds, and enhances frontend coding with more aesthetic and functional outputs for web, 3D, and related tasks. Kimi K2 is optimized for agentic capabilities, including advanced tool use, reasoning, and code synthesis. It excels across coding (LiveCodeBench, SWE-bench), reasoning (ZebraLogic, GPQA), and tool-use (Tau2, AceBench) benchmarks. The model is trained with a novel stack incorporating the MuonClip optimizer for stable large-scale MoE training.

By:MoonshotAIInput Type:Output Type:Publish time:2025-09-04

Providers

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ProviderCache Hit RateContext
moonshotai
1.01%$0.58/ M tokens$2.33/ M tokensRead:0.15/ M tokensWrite:-/ M tokens262.1K--

Uptime

Direct request success rate on AI Gateway and per-provider.

May 24, 22:39
Moonshot AI100.00%

Throughput

P50 throughput on live AI Gateway traffic, in tokens per second (TPS).

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Latency

P50 time to first token (TTFT) on live AI Gateway traffic, in milliseconds.

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Activity

Token volume and request traffic to this model over time.

Token Consumption
May 24
Moonshot AI413.8K

Token volume broken down by the provider that served each request. Larger segments indicate providers handling more of this model's traffic.

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis

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Apps

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Token Ranking
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