LLM Reference

Moonshot Models by Moonshot AI

3 models2024Up to 128k ctx

About

Moonshot AI, a promising Chinese startup founded by Yang Zhilin in April 2023, is making significant strides in the development of large language models (LLMs). Their flagship model, Kimi, launched in October 2023, is renowned for its impressive capability of processing up to 200,000 Chinese characters in a single conversation. This extensive context window length far surpasses the abilities of many existing LLMs, positioning Moonshot AI as a leader in applications that require substantial text analysis, such as legal and financial documents or creative fiction writing. Backed by over US$1 billion in funding and valued at US$2.5 billion, Moonshot AI is rapidly emerging as a powerhouse in the venturesome Chinese AI industry, attracting substantial investor attention due to its innovative approach to LLM technology 6 4 13.

Current Variants

Use-when guidance is derived from seed capabilities, context, release, and replacement fields.

3 in view

Use when the workload needs 128k context and 128B parameters.

2024-08128k context128B parameters

Use when the workload needs 8k context and 8B parameters.

2024-088k context8B parameters

Use when the workload needs 32k context and 32B parameters.

2024-0832k context32B parameters

Release Timeline

1 release group
2024-08
3 current
Moonshot 128K
128k context128B parameters
Current
Moonshot 32K
32k context32B parameters
Current
Moonshot 8K
8k context8B parameters
Current

Specifications(3 models)

Moonshot model specifications comparison
ModelReleasedContextParameters
Moonshot 128K2024-08128k128B
Moonshot 8K2024-088k8B
Moonshot 32K2024-0832k32B

Frequently Asked Questions

What is Moonshot used for?
Moonshot AI, a promising Chinese startup founded by Yang Zhilin in April 2023, is making significant strides in the development of large language models (LLMs).
How does Moonshot compare to Kimi K2?
Moonshot by Moonshot AI is strongest where you need its listed use cases, while Kimi K2 by Moonshot AI is the closest related family to check for code. Moonshot has 3 listed variants and reaches up to 128k context, while Kimi K2 reaches up to 262k context, so compare the specs and pricing tables before choosing a production model.
Which Moonshot model should I use?
If price is the main constraint, use the pricing table first because Moonshot does not have complete provider pricing in the local data. For the most capable/latest local choice, evaluate Moonshot 128K with 128k context.

Models(3)