Model Comparison

GPT-5 vs Qwen2 7B Instruct

GPT-5 significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-5 outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MMLU), while Qwen2 7B Instruct is better at 0 benchmarks.

GPT-5 significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-5 specifies input context (400,000 tokens). Only GPT-5 specifies output context (128,000 tokens).

GPT-5

Input400,000 tokens

Output128,000 tokens

Qwen2 7B Instruct

Input- tokens

Output- tokens

Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5 supports multimodal inputs, whereas Qwen2 7B Instruct does not.

GPT-5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5

Text

Images

Audio

Video

Qwen2 7B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-5 is licensed under a proprietary license, while Qwen2 7B Instruct uses Apache 2.0.

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

GPT-5

Proprietary

Closed source

Qwen2 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while Qwen2 7B Instruct was released on 2024-07-23.

GPT-5 is 13 months newer than Qwen2 7B Instruct.

GPT-5

Aug 7, 2025

9 months ago

1.0yr newer

Qwen2 7B Instruct

Jul 23, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while Qwen2 7B Instruct's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen2 7B Instruct's cutoff date.

GPT-5

Sep 2024

Qwen2 7B Instruct

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Outputs Comparison

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Key Takeaways

GPT-5

View details

OpenAI

Larger context window (400,000 tokens)

Supports multimodal inputs

Higher GPQA score (85.7% vs 25.3%)

Higher HumanEval score (93.4% vs 79.9%)

Higher MATH score (84.7% vs 49.6%)

Higher MMLU score (92.5% vs 70.5%)

Qwen2 7B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Detailed Comparison

AI Model Comparison Table
Feature	GPT-5	Qwen2 7B Instruct

FAQ

Common questions about GPT-5 vs Qwen2 7B Instruct.

Which is better, GPT-5 or Qwen2 7B Instruct?

GPT-5 significantly outperforms across most benchmarks. GPT-5 is made by OpenAI and Qwen2 7B 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 GPT-5 compare to Qwen2 7B Instruct in benchmarks?

GPT-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%. Qwen2 7B Instruct scores MT-Bench: 84.1%, GSM8k: 82.3%, HumanEval: 79.9%, C-Eval: 77.2%, AlignBench: 72.1%.

What are the context window sizes for GPT-5 and Qwen2 7B Instruct?

GPT-5 supports 400K tokens and Qwen2 7B 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 GPT-5 and Qwen2 7B Instruct?

Key differences include multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5 and Qwen2 7B Instruct?

GPT-5 is developed by OpenAI and Qwen2 7B Instruct is developed by Alibaba Cloud / Qwen Team.