Notable Open ModelsfreeNew

Kimi K3 (Moonshot AI)

Open-weight multimodal MoE with about 2.8T total and 104B active parameters, 1M-token context

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What Kimi K3 (Moonshot AI) does

  • Open-weight multimodal MoE with about 2.8T total and 104B active parameters, 1M-token context
  • Native text, image and video input with configurable thinking effort
  • Earlier open Kimi K2.x (K2.5, K2.6, K2.7-Code) remain downloadable from the same org
  • Weights free to download; also usable free in kimi.com chat with limits

Kimi K3 (Moonshot AI) — straight answers

What is Kimi K3 (Moonshot AI)?

Kimi K3 (Moonshot AI) is listed under Notable Open Models, in the AI Models & Local Execution category on Flocci AI Tools. Open-weight multimodal MoE with about 2.8T total and 104B active parameters, 1M-token context. It is free, with no paid plan attached, and it lives at huggingface.co.

Is Kimi K3 (Moonshot AI) free?

Kimi K3 (Moonshot AI) is listed as fully free — there is no paid tier attached to it in the catalog. That makes it one of the 399 entries on Flocci AI Tools with no upgrade path built in.

What can Kimi K3 (Moonshot AI) do?

Kimi K3 (Moonshot AI) does 4 things the catalog singles out: Open-weight multimodal moe with about 2.8t total and 104b active parameters, 1m-token context; native text, image and video input with configurable thinking effort; earlier open kimi k2.x (k2.5, k2.6, k2.7-code) remain downloadable from the same org; weights free to download; also usable free in kimi.com chat with limits.

What is the best free alternative to Kimi K3 (Moonshot AI)?

DeepSeek Models is the closest free alternative: it sits in the same Notable Open Models sub-category and is free. ERNIE 4.5 Open Models (Baidu), EXAONE (LG AI Research) and Falcon (TII) also start free. The full list is on the alternatives page.

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Kimi K3 (Moonshot AI) alternatives

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Llama (Meta)

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  • Meta's flagship open-weight family (Llama 4)
  • Multimodal and long-context variants
  • Run locally or via any host
  • Free, permissive license
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Qwen (Alibaba)

Notable Open Models
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  • Open Qwen3.x family from phone-sized to multi-trillion-parameter MoE, Apache 2.0
  • Qwen3.6 mid-size models suit agentic coding on one high-memory machine
  • Small Qwen3.5 sizes run on phones and laptops
  • Free weights on Hugging Face and ModelScope
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DeepSeek Models

Notable Open Models
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  • DeepSeek V4-Pro and V4-Flash open-weight MoE models, MIT-licensed
  • Very long context with reasoning and non-reasoning modes
  • Successors to the V3 and R1 lines
  • Free weights plus free web chat
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Gemma (Google)

Notable Open Models
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  • Google's lightweight open models (Gemma 4)
  • Runs in as little as 16GB RAM
  • On-device and multimodal variants
  • Free and open
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GPT-OSS (OpenAI)

Notable Open Models
free
  • OpenAI's Apache-2.0 open-weight reasoning models (120B and 20B)
  • Run locally or self-host, with configurable reasoning effort
  • Safeguard variants for policy-based content classification
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Pleias

Notable Open Models
free
  • Fully open-weight, open-dataset small language models (350M-3B) explicitly built for EU AI Act compliance
  • Trained exclusively on the 2-trillion-token open Common Corpus, not scraped/licensed text
  • Purpose-built RAG models (Pleias-RAG-350M/1B) with built-in citation tracking, Apache 2.0 licensed
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Head-to-head comparisons

Kimi K3 (Moonshot AI) vs Llama (Meta)Kimi K3 (Moonshot AI) vs Qwen (Alibaba)Kimi K3 (Moonshot AI) vs DeepSeek ModelsKimi K3 (Moonshot AI) vs Gemma (Google)Kimi K3 (Moonshot AI) vs GPT-OSS (OpenAI)Kimi K3 (Moonshot AI) vs Pleias