Llama 3 Instruct 8B

Llama 3 Instruct 8B

Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue application scenarios. It has a context length of 128K, state-of-the-art tool usage capabilities, and powerful reasoning abilities.

Llama 3.1 8B Instruct is a multilingual large language model optimized for dialogue application scenarios. It has a context length of 128K, state-of-the-art tool usage capabilities, and powerful reasoning abilities.

Intelligence(Relatively Weak)

Speed(Relatively Slow)

Input Supported Modalities

No

Is Reasoning Model

8,192

Context Window

131,072

Maximum Output Tokens

2023-12-31

Knowledge Cutoff

Pricing

￥0.22 /M tokens

Input

￥0.22 /M tokens

Output

￥0.61 /M tokens

Blended Price

Quick Simple Comparison

Llama 4 Scout

￥0.08

Llama 4 Maverick

￥0.17

Llama 3.2 Instruct 11B (Vision)

￥0.06

Basic Parameters

GPT-4.1 Technical Parameters

Parameter Count

8,000.0M

Context Length

8,192 tokens

Training Data Cutoff

2023-12-31

Open Source Category

Open Weights (Permissive License)

Multimodal Support

Text Only

Throughput

2,047

Release Date

2024-04-18

Response Speed

100.309 tokens/s

Benchmark Scores

Below is the performance of claude-monet in various standard benchmark tests. These tests evaluate the model's capabilities in different tasks and domains.

Intelligence Index

Large Language Model Intelligence Level

2147

Large Language Model Intelligence Level

Coding Index

Indicator of AI model performance on coding tasks

1078

Indicator of AI model performance on coding tasks

Math Index

Capability indicator in solving mathematical problems, mathematical reasoning, or performing math-related tasks

-

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

40.5

Massive Multitask Multimodal Understanding - Testing understanding of text, images, audio, and video

GPQA

Graduate Physics Questions Assessment - Testing advanced physics knowledge with diamond science-level questions

29.6

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

5.1

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

9.6

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

11.9

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

70.5

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

49.9

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)

-

An indicator measuring an AI model's ability to solve high-difficulty mathematical competition problems (specifically AIME level)

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