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Alibaba Qwen2-72B Tops HELM Ranking: Performance Surpasses Llama3-70B

Recently, the HELM MMLU released its latest results from Stanford University's large model evaluation leaderboard. Percy Liang, director of the Stanford Center for Research on Foundation Models, stated that Alibaba's Tongyi Qianwen Qwen2-72B model has surpassed Llama3-70B in ranking, becoming the best-performing open-source large model.

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Alibaba Qwen2-72B Tops HELM Ranking: Performance Surpasses Llama3-70B

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GPT-4.1 mini

Openai

GPT-4.1 mini

$2.8

Input tokens/M

$11.2

Output tokens/M

1k

Context Length

Claude 3 Opus

Anthropic

Claude 3 Opus

$105

Input tokens/M

$525

Output tokens/M

200

Context Length

Qwen_v2.5_7b_Instruct

Alibaba

Qwen_v2.5_7b_Instruct

$0.5

Input tokens/M

-

Output tokens/M

128

Context Length

GPT-4.1 nano

Openai

GPT-4.1 nano

$0.7

Input tokens/M

$2.8

Output tokens/M

1k

Context Length

Qwen_v2.5_3b_base

Alibaba

Qwen_v2.5_3b_base

$2

Input tokens/M

-

Output tokens/M

32

Context Length

Qwen_v2.5_1.5b_Instruct

Alibaba

Qwen_v2.5_1.5b_Instruct

$2

Input tokens/M

-

Output tokens/M

32

Context Length

GLM-4

Chatglm

GLM-4

$100

Input tokens/M

$100

Output tokens/M

128

Context Length

Yi-34B-200K

01-ai

Yi-34B-200K

-

Input tokens/M

-

Output tokens/M

200

Context Length

Yi-34B

01-ai

Yi-34B

-

Input tokens/M

-

Output tokens/M

4

Context Length

Baichuan2-7B-Base

Baichuan

Baichuan2-7B-Base

-

Input tokens/M

-

Output tokens/M

4

Context Length

Baichuan-7B

Baichuan

Baichuan-7B

-

Input tokens/M

-

Output tokens/M

4

Context Length

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