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Llama 3.3 Instruct 70B

MetaLlama開源權重Llama 3.3 Community License Agreement

描述

Llama 3.3 is a multilingual large language model optimized for dialogue use cases across multiple languages. It is a pretrained and instruction-tuned generative model with 70 billion parameters, outperforming many open-source and closed chat models on common industry benchmarks. Llama 3.3 supports a context length of 128,000 tokens and is designed for commercial and research use in multiple languages.

發布日期
2024-12-06
參數規模
70.0B
上下文長度
131K
支援模態
text

能力雷達圖

26
general
18
coding
28
reasoning
36
science
80
agents
0
multimodal

排行榜排名

領域#排名分數來源
程式碼能力榜535
17.0
AA
通用能力榜414
34.0
AA
科學能力521
25.0
AA

基準測試分數 (LLM Stats)

(LLM Stats (zeroeval))

Chat

IFEvalGoogle Research (2023)92.1%自報

General

MMLU86.0%自報
BFCL v277.3%自報

Language

MMLU-Pro68.9%自報

Math

MGSM91.1%自報
MATH77.0%自報

Reasoning

HumanEvalOpenAI (2021)88.4%自報
MBPP EvalPlus87.6%自報
GPQANYU + Cohere + Anthropic (2023)50.5%自報

AA 評測指數

(Artificial Analysis)
Math 500(OpenAI (2024), subset of Hendrycks et al. MATH (2021))
77.3
Mmlu Pro(TIGER-Lab (Univ. of Waterloo, Toronto, CMU, 2024))
71.3
Gpqa(NYU + Cohere + Anthropic (2023))
49.8
Ifbench(Google Research (2023))
47.1
Aime(MAA (Mathematical Association of America))
30.0
Livecodebench(UC Berkeley + MIT + Cornell (2024))
28.8
Tau2(Sierra + U Toronto + Vector Institute (2025))
26.6
Lcr(Artificial Analysis)
15.7
Coding Index(Artificial Analysis)
11.9
Intelligence Index(Artificial Analysis)
7.7
Math Index(Artificial Analysis)
7.7
Aime 25(MAA (Mathematical Association of America))
7.7
Terminalbench V2 1
4.9
Hle(Center for AI Safety + Scale AI (2025))
3.6
Terminalbench Hard(Stanford × Laude Institute (2026))
3.0

LLM Stats 分類評分

(LLM Stats (zeroeval))
Chat
90
Instruction Following
90
Structured Output
90
Code
90
Language
80
Legal
80
Math
80
Reasoning
80
Finance
80
General
80
Healthcare
80
Tool Calling
80
Physics
50
Biology
50
Chemistry
50

定價

輸入價格$0.71 / 1M tokens
輸出價格$0.72 / 1M tokens
混合價格(3:1)$0.712 / 1M tokens

速度

Tokens/秒79.3
首Token延遲0.62s
首回答延遲0.62s

供應商價格排行

供應商價格排行

6 個供應商

最便宜: DeepInfra最貴: Meta
供應商輸入輸出
1DeepInfra最便宜
$0
$0
2NanoGPT
$0.05
$0.23
3OpenRouter
$0.1
$0.32
4Kilo Gateway
$0.1
$0.32
5NovitaAI
$0.135
$0.4
6Meta主要
$0.71
$0.72

比較該模型在不同 API 供應商之間的定價。

外部連結