Moonshot V1 32k
M

Moonshot V1 32k

A language model with hundreds of billions of parameters launched by Moonshot AI, supporting a 32K context window, focusing on long - text understanding and code generation optimization, integrating a dynamic resolution function, supporting the processing of structured long texts such as PDFs and code libraries, and outperforming GPT - 4o by 12.7% in the Ruler long - context benchmark test.
Intelligence(Weak)
Speed(Slow)
Input Supported Modalities
No
Is Reasoning Model
32,000
Context Window
0
Maximum Output Tokens
-
Knowledge Cutoff

Pricing

¥1 /M tokens
Input
¥8 /M tokens
Output
¥2.75 /M tokens
Blended Price

Quick Simple Comparison

Input

Output

kimi-latest
moonshot-v1-32k
¥0.14
moonshot-v1-8k
¥0.07

Basic Parameters

moonshot-v1-32kTechnical Parameters
Parameter Count
Not Announced
Context Length
32.00k tokens
Training Data Cutoff
Open Source Category
Open Source
Multimodal Support
Text Only
Throughput
0
Release Date
2025-01-01
Response Speed
0 tokens/s

Benchmark Scores

Below is the performance of moonshot-v1-32k in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.
Intelligence Index
-
Large Language Model Intelligence Level
Coding Index
-
Indicator of AI model performance on coding tasks
Math Index
-
Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks
MMLU Pro
-
Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video
GPQA
54.4
Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions
HLE
-
The model's comprehensive average score on the Hugging Face Open LLM Leaderboard
LiveCodeBench
-
Specific evaluation focused on assessing large language models' ability in real-world code writing and solving programming competition problems
SciCode
-
The model's capability in code generation for scientific computing or specific scientific domains
HumanEval
-
Score achieved by the AI model on the specific HumanEval benchmark test set
Math 500 Score
-
Score on the first 500 larger, more well-known mathematical benchmark tests
AIME Score
-
An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)
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