# MoonshotAI/Kimi-k1.5

Repository: https://github.com/MoonshotAI/Kimi-k1.5
Canonical: https://ross.abutalabs.com/products/kimi-k15
License Family: other
Last push: 2025-03-07T11:16:36+00:00

## Health v2 (maintenance only)
Score: 25/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 10, release rhythm 35, longevity 42
- inputs: {"age_days": 591, "days_push": 544, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3471, forks 236 (observed 2026-08-28T04:08:06.006939+00:00)

## What it is
The official repository for Kimi k1.5, Moonshot AI's o1-level multimodal LLM trained with scaled reinforcement learning, primarily containing the technical report and benchmarks rather than runnable training code. It describes long-context RL (up to 128k), online mirror descent policy optimization, and joint text-vision reasoning.

## Use cases
- understand how to scale reinforcement learning with LLMs
- learn long-CoT RL training techniques for reasoning models
- compare o1-level reasoning model benchmarks
- study multimodal reasoning model design
- research policy optimization methods like online mirror descent for LLMs
- find a reference for training reasoning without MCTS or process reward models

## When to choose
- you want the technical details and benchmark results of the Kimi k1.5 reasoning model
- you are researching RL-based long chain-of-thought training for LLMs
- you need a citation for scaled RL with multimodal LLMs

## When to avoid
- you need runnable training or inference code
- you want a ready-to-use model weights release or API
- you need a production LLM tool rather than a research report

## Facets
- artifact type: learning-resource
- maturity: experimental
- function: llm-training, reinforcement-learning, machine-learning
- domain: large-language-models, reinforcement-learning, artificial-intelligence, deep-learning
- platform: python
- tags: llm, reasoning, chain-of-thought, multimodal, research-report, policy-optimization, long-context, gpu, linux

## Member repositories
- MoonshotAI/Kimi-k1.5 (main) score 25

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:06.006939+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:36:37.441308+00:00, confidence not recorded.
  - readme: https://github.com/MoonshotAI/Kimi-k1.5 (fetched 2026-08-28T04:08:06.006939+00:00, sha e399e61f8435)
- Data as of 2026-08-30T08:39:29.467469+00:00.