Kimi K3: 2.8T Open-Weight Multimodal Model
Blog post from Deepinfra
DeepInfra announces availability of Kimi K3, Moonshot AI’s 2.8-trillion-parameter open-weight native multimodal Mixture-of-Experts model, designed for software engineering, agentic workflows, scientific research, and text, image, and video processing. Although it contains 896 experts, it activates 16 per token for 104 billion active parameters, with features including Kimi Delta Attention, attention residuals, quantization-aware training, and a one-million-token context window intended to improve long-context efficiency. DeepInfra reports that benchmark results place Kimi K3 competitively against leading proprietary models in reasoning, coding, browsing, and visual tasks, while highlighting its tool-calling reliability, document analysis, and video capabilities. Developers can access the model through DeepInfra’s OpenAI-compatible chat-completions API using text or image inputs, JSON output, function calling, and configurable generation parameters. Pricing is usage-based at $2.85 per million input tokens, $14.25 per million output tokens, and $0.285 per million cached input tokens, positioning the service as a lower-cost option for repeated long-context workloads.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| AI Agents | 1 | 3,983 | 868 | 211 | -41% |
| LLM | 1 | 3,630 | 731 | 193 | -51% |
| Loop engineering | 1 | 44 | 30 | 25 | -69% |
| RAG | 1 | 943 | 158 | 59 | -22% |
| Vector Search | 1 | 1,725 | 270 | 100 | -18% |
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