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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. Full open-source weights are scheduled for release by July 27, 2026. 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.

QUICK FACTS

Pricing Freemium
Platforms web, api, local
API No
Open Source Yes
Modalities LLMs, IDEs & Coding Tools
Best For Best for Open-Weight Frontier Performance
Date Added 2026-07-16

QUICK TIPS

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 Wait for the July 27 open-weight release if you need to self-host
5 Use Kimi Code for IDE-integrated workflows rather than the general chat app

SIMILAR TOOLS

Claude Opus 4.6 Google Antigravity 2.0 NotebookLM Cursor 2.0 OpenAI Codex

USE CASE EXAMPLES

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. Wait for the official open-weight release (by 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

PRICING

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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EXPLORE ALTERNATIVES

View Kimi K3 Alternatives (2026) →

Compare Kimi K3 with 5+ similar llms AI tools.

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FREQUENTLY ASKED QUESTIONS

Q

Is Kimi K3 free?

A

Kimi K3 offers a free tier with optional paid upgrades.

Q

Does Kimi K3 have an API?

A

No, Kimi K3 does not appear to offer a public API.

Q

What is Kimi K3 best for?

A

Kimi K3 is best for Best for Open-Weight Frontier Performance.

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.

Q

What can I do with Kimi K3?

A

Kimi K3 is designed for Cost-efficient frontier-level reasoning, Long-running agentic tasks, Open-weight self-hosting. Kimi K3 is Moonshot AI's open-weight model released July 16, 2026, built at roughly 2. Key strengths include 2.8T-parameter scale claimed to approach top closed-model performance and Aggressive API pricing relative to comparable frontier models.

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.