Moonshot's frontier model — 2.8 trillion parameters, a million-token window, and thinking effort you can dial up when the task deserves it.

Key specifications

Capability
80.8
Context window
1.0M
Max output
131.1K
Input $/1M
$3.00
Output $/1M
$15.00
License
Open weights

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input
  • Video input

Produces

  • Text output

Capabilities

ReasoningFunction callingVisionJSON modeOpen weights

What is Kimi K3?

Kimi K3 is Moonshot AI's frontier model, and the specification that matters most is not the parameter count. It is the output ceiling.

K3 pairs a 1,048,576-token context window with a 131,072-token maximum output. Plenty of models now read a million tokens. Far fewer will write back more than sixty-odd thousand. If your work ends in a long artefact — a migration plan, a full test suite, a translated codebase — that second number is the one that decides whether the model can finish the job in one pass.

Effort you can turn up

K3 is built for long-horizon coding, knowledge work and deep reasoning, and it supports toggleable max-effort thinking.

That toggle is the interesting design choice. Reasoning models usually make you pick a tier and live with it: fast and shallow, or slow and thorough, chosen at the point you select the model. K3 moves the decision to the request. Bulk classification runs cheap; the one architectural question that actually matters gets full deliberation. For an agent that spends most of its loop on routine steps and occasionally hits something hard, that is the right shape.

What it costs to run

K3 runs near $3.00 per million input tokens and $15.00 per million output tokens.

Read that against the output ceiling before you celebrate. A model that can emit 131,072 tokens in one response can also bill you for 131,072 tokens in one response. Long-horizon agent runs are exactly the workload where costs compound quietly, so cap output length in code rather than trusting the prompt to keep answers short.

A caveat worth checking yourself

K3's licensing is reported inconsistently. Some registries list its weights as open; Moonshot's own materials describe the model's capabilities without making an open-weight claim. The previous generation shipped under a permissive licence with downloadable weights, which is probably where the confusion starts.

If your plan depends on self-hosting rather than calling an API, confirm the licence directly with Moonshot before you build around it.

Where it sits

K3 is a considered choice, not a default. For high-volume, low-stakes calls it is more model than the task needs, and something like Gemini 2.5 Flash will serve the same request for a fraction of the cost. Where K3 earns its rate is sustained agent work — long runs, many tool calls, a large artefact at the end.

Specifications

Field Value
Provider Moonshot AI
Parameters 2.8 trillion
Context window 1,048,576 tokens
Maximum output 131,072 tokens
Modality Natively multimodal
Reasoning Supported, effort is toggleable
Tool calling Supported
Structured output Supported
Released 16 July 2026

Pricing and availability shift as providers adjust their rates. Confirm your own before you budget.

Compare it against the rest of the AI model directory.

How to evaluate Kimi K3

Use the recorded facts as a shortlist, then validate the model against representative inputs and production constraints.

Workload fit

Kimi K3 is categorized for Any-to-any, Image-text-to-text, Image-to-text, Text generation, Text-to-text AI models, Video-text-to-text. Its current record accepts text, image, video and produces text. Confirm file formats, preprocessing, and provider-specific request schemas before implementation.

Capacity and cost

The directory records 1.0M context and 131.1K maximum output. Listed token prices are $3.00 input and $15.00 output per 1M tokens. Treat missing values as unknown and recheck current commercial terms.

Operational behavior

Recorded output speed is — and time to first token is —. Hosting route, region, prompt length, concurrency, and provider load can materially change both measurements.

Evidence boundary

This page separates sourced model facts from incomplete fields. Benchmark evidence is displayed only when its source is linked and verified. Before choosing Kimi K3, test task quality, tool reliability, safety behavior, data controls, rate limits, and total cost on the exact route you intend to use.

Strengths

  • + 1,048,576-token context with a 131,072-token output ceiling — unusually generous on both ends
  • + Toggleable max-effort thinking: pay for deliberation only on the tasks that need it
  • + Natively multimodal rather than text-with-an-adapter
  • + Built explicitly for long-horizon agent work, with tool calling and structured output

Limitations

  • At roughly $3 in / $15 out per million tokens, materially pricier than fast-tier models
  • Licence and open-weight status are reported inconsistently across sources — verify before you rely on self-hosting
  • Released July 2026, so independent third-party evaluation is still thin
  • Max-effort thinking is a cost multiplier if left on by default

Frequently asked questions

Kimi K3 is a Moonshot AI model listed in the provider’s public registry. Multimodal Kimi model with 1M context and toggleable max-effort thinking for long-horizon agent work

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