Model Comparison

Llama 3.1 8B Instruct vs Qwen2 72B Instruct

Qwen2 72B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 3.1 8B Instruct outperforms in 1 benchmarks (ARC-C), while Qwen2 72B Instruct is better at 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro).

Qwen2 72B Instruct significantly outperforms across most benchmarks.

Sun May 10 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

64.0B diff

Qwen2 72B Instruct has 64.0B more parameters than Llama 3.1 8B Instruct, making it 800.0% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
72.0Bparameters
8.0B
Llama 3.1 8B Instruct
72.0B
Qwen2 72B Instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 8B Instruct specifies input context (131,072 tokens). Only Llama 3.1 8B Instruct specifies output context (131,072 tokens).

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input- tokens
Output- tokens
Sun May 10 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen2 72B Instruct uses tongyi-qianwen.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Both models were released on 2024-07-23.

They likely represent similar generations of model development.

Llama 3.1 8B Instruct

Jul 23, 2024

1.8 years ago

Qwen2 72B Instruct

Jul 23, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen2 72B Instruct's cutoff date is not specified.

We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen2 72B Instruct's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen2 72B Instruct

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Higher ARC-C score (83.4% vs 68.9%)
Alibaba Cloud / Qwen Team

Qwen2 72B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (42.4% vs 30.4%)
Higher HumanEval score (86.0% vs 72.6%)
Higher MMLU score (82.3% vs 69.4%)
Higher MMLU-Pro score (64.4% vs 48.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen2 72B Instruct.

Which is better, Llama 3.1 8B Instruct or Qwen2 72B Instruct?

Qwen2 72B Instruct significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is made by Meta and Qwen2 72B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.1 8B Instruct compare to Qwen2 72B Instruct in benchmarks?

Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen2 72B Instruct?

Llama 3.1 8B Instruct supports 131K tokens and Qwen2 72B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 8B Instruct and Qwen2 72B Instruct?

Key differences include licensing (Llama 3.1 Community License vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 8B Instruct and Qwen2 72B Instruct?

Llama 3.1 8B Instruct is developed by Meta and Qwen2 72B Instruct is developed by Alibaba Cloud / Qwen Team.