# Kimi K3.1 Pro

Kimi K3.1 Pro is an AI model released by Moonshot AI on Oct 23 2026. It has 2.8T parameters, a 1M context window and open weight. Tracked results include 70% on Humanity's Last Exam (with tools), 90.2% on Chartography (with tools) and 92.7% on BenchCAD.

## Facts

| Field | Value |
| --- | --- |
| Model | Kimi K3.1 Pro |
| Developer | Moonshot AI |
| Release date | Friday, Oct 23 2026 |
| Licensing | Open Weight |
| Parameters | 2.8T |
| Context window | 1M |

## Tracked benchmark scores

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| BenchCAD | 92.7% | Lab | Can the AI do mechanical design as code? Given a drawing or a description of an industrial part — a gear, a spring, a drill bit — it has to write or edit the parametric CAD program that builds it, and the program is run to check the shape really comes out right. Higher is better. |
| Terminal-Bench 4.0 | 65.7% | Lab | Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Version 4.0 recalibrated how much time, CPU and memory each task gets, removed eight tasks and fixed nineteen, so fewer runs fail for reasons that have nothing to do with the model. Scores are not comparable with earlier versions. Higher is better. |
| Terminal-Bench-Science 0.1 | 38.1% | Lab | The same command-line setup as Terminal-Bench, pointed at scientific work: the AI has to drive research tooling and computational workflows through to a result, rather than administer a machine. Version 0.1 is the first release of the task set, and scores run lower than on the general board. Higher is better. |
| Humanity's Last Exam (with tools) | 70% | Lab | Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. |
| Chartography (with tools) | 90.2% | Lab | A chart-centred test run with tools available to the AI, reported separately from the chart-reading benchmarks above it. Higher is better. |
| GDP.PDF | 34.6% | Lab | Real professional PDFs — filings, reports, technical documents — with questions an expert in that field would ask. Tests whether the AI reads the page as a document, layout and figures included, rather than as loose text. Higher is better. |

## Questions and answers

### When was Kimi K3.1 Pro released?

Kimi K3.1 Pro was released by Moonshot AI on Friday, Oct 23 2026.

### Who made Kimi K3.1 Pro?

Kimi K3.1 Pro was built by Moonshot AI. Chinese AI company building the Kimi family of models. Founded in 2023, known for long-context and efficient MoE architectures.

### What benchmark scores did Kimi K3.1 Pro get?

Kimi K3.1 Pro reports 6 tracked benchmark scores — BenchCAD: 92.7%; Terminal-Bench 4.0: 65.7%; Terminal-Bench-Science 0.1: 38.1%; Humanity's Last Exam (with tools): 70%; Chartography (with tools): 90.2%; GDP.PDF: 34.6%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. It holds the best score among all models tracked here on Humanity's Last Exam (with tools) and Chartography (with tools).

### What is the context window of Kimi K3.1 Pro?

Kimi K3.1 Pro has a context window of 1M. Providers may specify separate input and output token limits.

### How many parameters does Kimi K3.1 Pro have?

Kimi K3.1 Pro is reported at 2.8T parameters.

### Is Kimi K3.1 Pro open source?

Partly. Kimi K3.1 Pro is an open-weight model: the trained weights are free to download and run locally or on your own infrastructure, but the training data and code are not fully released and the license may restrict some commercial uses. It is not open source in the strict sense.

### What came before and after Kimi K3.1 Pro?

Moonshot AI's previous tracked release was Kimi K3 on Jul 16 2026, 99 days earlier. It was followed by Kimi K3.1 Pro Highspeed on Oct 23 2026.


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Canonical page: https://aireleasetracker.com/model/moonshot/kimi-k3.1-pro
Site index: https://aireleasetracker.com/llms.txt
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.