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LLMS • CURATED • UPDATED JUL 16, 2026

Kimi K3

Moonshot AI's 2.8-trillion-parameter open-weight flagship

Kimi K3 is Moonshot AI's open-weight model released July 16, 2026, built at roughly 2.8 trillion parameters. It's available now via kimi.com, Kimi Work, Kimi Code, and the Kimi API, priced at $0.30 per million input tokens (cached), $3.00 per million (uncached), and $15.00 per million output tokens. Moonshot published the full open weights on Hugging Face on July 27, 2026, as promised at launch. Moonshot positions it as approaching Anthropic Fable 5-tier performance at a fraction of the cost, though the company acknowledges a tendency toward 'excessive proactivity' on long-running tasks.

Pricing Freemium
Platforms web, api, local
API Yes
Open Source Yes
Modalities LLMs, IDEs & Coding Tools
Best For Best for Open-Weight Frontier Performance
Date Added 2026-07-16

Kimi K3 is one of the most credible open-weight challengers to closed frontier models this year, aggressive enough on pricing and scale that it moved markets, Fortune covered it as a 'DeepSeek shock' moment for AI stocks.

Try Kimi K3 for free at kimi.com, or integrate via the Kimi API for production use ($0.30/M cached input, $3/M uncached input, $15/M output tokens). Open weights landed on Hugging Face on July 27, 2026, so self-hosting is now an option for teams that want to run it locally. Start with shorter tasks first given the model's known tendency to over-extend on long-running agentic runs.

1 Cache prompts where possible, cached input tokens are 10x cheaper than uncached
2 Watch long-running agent tasks closely for 'excessive proactivity' (unrequested extra actions)
3 Compare directly against Kimi K2.7-Code if your workload is coding-specific
4 Self-host from the open weights if data residency matters, they went up on July 27
5 Use Kimi Code for IDE-integrated workflows rather than the general chat app
Google Antigravity 2.0 Claude Fable 5 NotebookLM Claude Opus 5 GPT-5.6 Sol

Cost-Efficient Agentic Research Pipeline

Run multi-step research and synthesis tasks at a fraction of closed-model API cost.

STEPS:
  1. Define the research question and constraints
  2. Enable caching for repeated context/system prompts
  3. Let Kimi K3 plan and execute retrieval + synthesis steps
  4. Set explicit stopping criteria to limit over-extension
  5. Review the final synthesis for accuracy
  6. Compare cost against your previous frontier-model pipeline

Self-Hosting After Open-Weight Release

Deploy Kimi K3 on private infrastructure once weights are public.

STEPS:
  1. Pull the open weights, published July 27, 2026
  2. Download weights and set up inference infrastructure
  3. Benchmark against the hosted API for parity
  4. Integrate into internal tools via a local API layer
  5. Monitor for the proactivity quirk in production
  6. Iterate on system prompts to constrain agent behavior
Freemium Free tier available

Free tier includes limited features. Paid plans unlock full access, higher usage limits, and commercial usage rights.

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Compare Kimi K3 with 5+ similar llms AI tools.

Q

Is Kimi K3 free?

A

Kimi K3 offers a free tier with optional paid upgrades.

Q

Does Kimi K3 have an API?

A

Yes, Kimi K3 offers an API for programmatic integration.

Q

What is Kimi K3 best for?

A

Kimi K3 is best for Best for Open-Weight Frontier Performance. Kimi K3 is Moonshot AI's open-weight model released July 16, 2026, built at roughly 2. Kimi K3 is one of the most credible open-weight challengers to closed frontier models this year, aggressive enough on pricing and scale that it moved markets, Fortune covered it as a 'DeepSeek shock' moment for AI stocks.

Q

What platforms does Kimi K3 support?

A

Kimi K3 supports web, api, local.

Q

Is Kimi K3 open source?

A

Yes, Kimi K3 is open source. You can access the source code, contribute, and deploy it on your own infrastructure.

Q

How do I get started with Kimi K3?

A

Try Kimi K3 for free at kimi.com, or integrate via the Kimi API for production use ($0.30/M cached input, $3/M uncached input, $15/M output tokens). Open weights landed on Hugging Face on July 27, 2026, so self-hosting is now an option for teams that want to run it locally. Start with shorter tasks ...

Q

How do I use Kimi K3?

A

Kimi K3 is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at 2.8t-parameter scale claimed to approach top closed-model performance.

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