Model Comparison

Claude 3 Haiku vs Qwen2 72B Instruct

Qwen2 72B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

7 benchmarks

Claude 3 Haiku outperforms in 1 benchmarks (ARC-C), while Qwen2 72B Instruct is better at 6 benchmarks (GPQA, GSM8k, HellaSwag, HumanEval, MATH, MMLU).

Qwen2 72B Instruct significantly outperforms across most benchmarks.

Sat Apr 04 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Apr 04 2026 • llm-stats.com
Anthropic
Claude 3 Haiku
Input tokens$0.25
Output tokens$1.25
Best providerAnthropic
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Only Claude 3 Haiku specifies input context (200,000 tokens). Only Claude 3 Haiku specifies output context (200,000 tokens).

Anthropic
Claude 3 Haiku
Input200,000 tokens
Output200,000 tokens
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct
Input- tokens
Output- tokens
Sat Apr 04 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude 3 Haiku supports multimodal inputs, whereas Qwen2 72B Instruct does not.

Claude 3 Haiku can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude 3 Haiku

Text
Images
Audio
Video

Qwen2 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Claude 3 Haiku is licensed under a proprietary license, while Qwen2 72B Instruct uses tongyi-qianwen.

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

Claude 3 Haiku

Proprietary

Closed source

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Claude 3 Haiku was released on 2024-03-13, while Qwen2 72B Instruct was released on 2024-07-23.

Qwen2 72B Instruct is 4 months newer than Claude 3 Haiku.

Claude 3 Haiku

Mar 13, 2024

2.1 years ago

Qwen2 72B Instruct

Jul 23, 2024

1.7 years ago

4mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher ARC-C score (89.2% vs 68.9%)
Alibaba Cloud / Qwen Team

Qwen2 72B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights
Higher GPQA score (42.4% vs 33.3%)
Higher GSM8k score (91.1% vs 88.9%)
Higher HellaSwag score (87.6% vs 85.9%)
Higher HumanEval score (86.0% vs 75.9%)
Higher MATH score (59.7% vs 38.9%)
Higher MMLU score (82.3% vs 75.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude 3 Haiku
Alibaba Cloud / Qwen Team
Qwen2 72B Instruct

FAQ

Common questions about Claude 3 Haiku vs Qwen2 72B Instruct

Qwen2 72B Instruct significantly outperforms across most benchmarks. Claude 3 Haiku is made by Anthropic 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.
Claude 3 Haiku scores ARC-C: 89.2%, GSM8k: 88.9%, HellaSwag: 85.9%, DROP: 78.4%, HumanEval: 75.9%. Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.
Claude 3 Haiku supports 200K 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.
Key differences include multimodal support (yes vs no), licensing (Proprietary vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.
Claude 3 Haiku is developed by Anthropic and Qwen2 72B Instruct is developed by Alibaba Cloud / Qwen Team.