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Kimi K3 logo

Kimi K3

New

Run frontier-level coding and reasoning tasks on a 2.8-trillion-parameter (104B active) open-weight model. Full weights are released under the Kimi K3 License, so self-hosting is available now, not just on the hosted API.

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The verdict on Kimi K3: Developers who need long-horizon reasoning and multi-file coding work from an open-weight model Kimi K3 is aimed at developers who need long-horizon reasoning and multi-file coding work from an open-weight model that competes with closed frontier performance on benchmarks. Pricing: Pay-per-token API ($0.30-$15 per million tokens) / full weights released under the Kimi K3 License, free to download and self-host (compute costs apply).

Best For

Developers who need long-horizon reasoning and multi-file coding work from an open-weight model

Standout Feature

A 2.8-trillion-parameter model competitive with closed frontier models on independent coding and math benchmarks

TL;DR

Genuinely impressive open-weight performance, self-hosting the full model requires serious GPU infrastructure and it's very new.

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Fit Score: use-case reference

How this is scored

Kimi K3 scored 1 to 5 on five dimensions for the named use cases below. Part of our catalog-wide use-case reference, not a product-quality review rating.

Open-weight long-horizon reasoning

3.4/5
Capability
4/5
Reliability
3/5
Value
3/5
Ease
3/5
Compatibility
4/5

Run multi-step reasoning with tool-calling support and an open-weight deployment option. The release has limited long-term reliability data, so assess it on the actual workflow rather than assuming benchmark claims guarantee results. API billing is usage-based, while self-hosting requires substantial GPU capacity.

Open-weight multi-file coding

3.4/5
Capability
4/5
Reliability
3/5
Value
3/5
Ease
3/5
Compatibility
4/5

Work across multiple code files through an API or a self-hosted open-weight deployment. Limited long-term reliability evidence makes project-level validation important before relying on generated changes. Usage-based API fees and substantial self-hosting hardware needs mean the free weight download is not a free coding service.

Editorial judgment grounded in this tool's own published pricing, features, and our existing pros and cons, not a certification or a measured benchmark. Product quality is assessed separately under our review methodology.

Overview

Not yet reviewedProduct quality is assessed from original evidence. How reviews work.

Kimi K3 is Moonshot AI's open-weight model, built for long-horizon reasoning and coding work that runs across many steps instead of a single response. It's a mixture-of-experts model with 2.8 trillion total parameters and 104 billion active parameters, with roughly 1 million tokens of context per Moonshot's own model card. It handles multi-file codebases, agentic tool-calling loops, and extended chains of reasoning at a scale that puts it in range of the top closed frontier models on independent coding and math benchmarks.

Access is available through the API at usage-based rates, and the full model weights are now released under the Kimi K3 License with deployment guidance on Moonshot's Hugging Face repository, so teams can self-host today rather than depend on a single vendor's uptime and pricing. Downloading the weights themselves carries no charge, but running a model this size takes serious infrastructure, so most users will start on the hosted API and only move to self-hosting once they have the hardware to justify the nonzero compute cost. Kimi K3 fits engineering teams and researchers who want frontier-level reasoning and coding performance with the option to run the model on their own infrastructure instead of staying locked into a single API.

The source of the legacy catalog rating and review count has not been substantiated. Neither is presented here as a verified review rating or included in review structured data.

Workflow Fit Scores are separate, use-case-specific editorial judgments, not user-review averages. Read the Fit Score methodology.

Pros
  • • Competitive with closed frontier models on coding and math benchmarks
  • • Open weights mean no long-term vendor lock-in
  • • Pay-per-token API access available immediately, no waitlist
Cons
  • • Self-hosting the full model requires substantial GPU infrastructure
  • • Very new release with limited independent long-term reliability data

Key Features

  • 2.8-trillion-parameter (104B active) mixture-of-experts architecture, ~1M-token context
  • Long-horizon multi-step reasoning and agentic tool-calling
  • Multi-file codebase support for real-world coding tasks
  • Self-hostable weights released under the Kimi K3 License (no charge to download; running them takes serious GPU infrastructure)

Trust & Data

Verified 2026-09

Training on your data
Opt-out availableThe access route matters a great deal here: Kimi's API help page and business terms state API and enterprise input and output are never used for model training, but the consumer web-chat terms, the actual kimi.com product cataloged here, state that prompts and generated content are used to train and optimize models by default, with opt-out only available by emailing support manually, a 5 to 7 business day process with no in-product toggle. The general terms and the narrower help-page and enterprise assurances genuinely conflict, so casual web users get materially weaker protection than API or enterprise customers.
Compliance
Not published
Retention
Not published
Export
Partial export

Sources: kimi.com/userprivacy, kimi.com/data usage

As published by the vendor. Verify independently before purchase decisions.

Our Take

At 2.8 trillion parameters, agentic tool-calling loops and extended reasoning chains are practical rather than theoretical. Open weights mean no long-term vendor lock-in, and the option to self-host matters for teams with data sovereignty requirements. Two honest constraints apply: self-hosting the full model requires substantial GPU infrastructure, and it's a new release with limited long-term reliability data. If coding and reasoning at frontier scale is the requirement, evaluate it now, but plan for real infrastructure costs.

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Pricing

Pay-per-token API ($0.30-$15 per million tokens)

full weights released under the Kimi K3 License, free to download and self-host (compute costs apply)

Use Cases
Coding
Reasoning
Research
Agent Development

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