AI Model Release Tracker

Kimi K2Open Weight

Released

Kimi K2 is an AI model released by Moonshot AI on Friday, Jul 11 2025, 24 days after Kimi-Dev. It is an open-weight model — the trained weights are available to download and run. It is a 1T parameterThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. model with a 128k token context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider.. Benchmark results (shown below) cover BullshitBench v2, SWE-Bench Verified, Humanity's Last Exam, and GPQA Diamond.

Available from

Novita$0.57$2.30128Kfp8
USD per 1M tokensEvery price here is for one million tokens. A token is roughly three-quarters of a word, so a million tokens is about 750,000 words of text.Checked November 3, 2026Third-party rates from openrouter.ai, not the lab’s own list price.

Benchmarks

Coding

SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better.
65.8%
#46 of 70

Reasoning & science

Humanity's Last ExamMultidisciplinary reasoning — 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.via BenchLM
4.7%with tools
#54 of 54
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better.
75.1%
#48 of 67

Robustness

BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better.
10%
#87 of 98

Source: BenchLM, retrieved 12 October 2026. Other sources are identified on the linked benchmark pages.

Compare Kimi K2 with

Kimi K2

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About

Kimi K2 was released on July 11, 2025 as Moonshot AI's mixture-of-experts model for general and agentic tasks. It had one trillion total parameters and about 32 billion active per token, with base and instruction-tuned weights available. Moonshot emphasized tool use, coding and carrying out multi-step requests, extending the Kimi line beyond a hosted conversational product.

The training report introduced the MuonClip optimizer and described large-scale training for a sparse model. The initial instruction checkpoint supported a 128,000-token context window. Its tool-use focus made it relevant to agent systems that needed to choose functions, interpret results and continue a task across multiple interactions.

The weights were published under a modified MIT License with an additional attribution requirement for very large deployments. That provided a self-hosting route as well as hosted API access, while retaining specific release conditions. Later K2 checkpoints expanded context and reasoning capabilities, so their specifications and benchmarks should be kept separate from this original July release.

Frequently asked questions

Kimi K2 was released by Moonshot AI on Friday, Jul 11 2025.

All Moonshot AI releases

14 tracked

2023

1 release
Kimi Chat
Oct 9 2023