Kimi K3 Pricing, Providers & Real-World Costs

Kimi K3, released by Moonshot AI in July 2026, is an open-weight 2.8-trillion-parameter mixture-of-experts model with 104 billion active parameters, multimodal input support, text output, and a 1,048,576-token context window, positioning it for long-context reasoning, coding, and agentic workloads. The DeepInfra analysis describes strong benchmark performance in reasoning, coding, and agent use, while noting that the model is comparatively expensive, slower, and prone to verbose outputs. Provider prices cluster around $2.80–$3.00 per million input tokens and $14.00–$15.00 per million output tokens, with DeepInfra offering $2.85 input, $14.25 output, and a substantially discounted $0.285 cached-input rate, OpenRouter presenting the lowest listed base price, and Kimi’s first-party API serving as a direct managed-access reference. The discussion emphasizes that output length, repeated context, caching, routing, and features such as function calling, JSON mode, multimodal support, and private endpoints can affect real costs more than small differences in headline rates. It presents DeepInfra as particularly suitable for recurring large-context tasks such as repository-scale coding agents, document-heavy retrieval systems, multimodal debugging, structured tool workflows, and evaluation pipelines, while suggesting OpenRouter for lower-cost short-lived calls and Kimi’s API for teams prioritizing direct access.

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