Model Comparison

GPT-4o vs Qwen2.5 14B Instruct

GPT-4o significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

GPT-4o outperforms in 4 benchmarks (GPQA, HumanEval, MMLU, MMLU-Pro), while Qwen2.5 14B Instruct is better at 1 benchmark (MATH).

GPT-4o significantly outperforms across most benchmarks.

Fri May 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Context Window

Maximum input and output token capacity

Only GPT-4o specifies input context (128,000 tokens). Only GPT-4o specifies output context (4,096 tokens).

GPT-4o

Input128,000 tokens

Output4,096 tokens

Qwen2.5 14B Instruct

Input- tokens

Output- tokens

Fri May 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

GPT-4o can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4o

Text

Images

Audio

Video

Qwen2.5 14B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

GPT-4o is licensed under a proprietary license, while Qwen2.5 14B Instruct uses Apache 2.0.

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

GPT-4o

Proprietary

Closed source

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o was released on 2024-05-13, while Qwen2.5 14B Instruct was released on 2024-09-19.

Qwen2.5 14B Instruct is 4 months newer than GPT-4o.

GPT-4o

May 13, 2024

2.0 years ago

Qwen2.5 14B Instruct

Sep 19, 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

GPT-4o

View details

OpenAI

Larger context window (128,000 tokens)

Supports multimodal inputs

Higher GPQA score (53.6% vs 45.5%)

Higher HumanEval score (90.2% vs 83.5%)

Higher MMLU score (88.7% vs 79.7%)

Higher MMLU-Pro score (72.6% vs 63.7%)

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Has open weights

Higher MATH score (80.0% vs 76.6%)

GPT-4o

Qwen2.5 14B Instruct

Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature	GPT-4o	Qwen2.5 14B Instruct

FAQ

Common questions about GPT-4o vs Qwen2.5 14B Instruct.

Which is better, GPT-4o or Qwen2.5 14B Instruct?

GPT-4o significantly outperforms across most benchmarks. GPT-4o is made by OpenAI and Qwen2.5 14B 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-4o compare to Qwen2.5 14B Instruct in benchmarks?

GPT-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for GPT-4o and Qwen2.5 14B Instruct?

GPT-4o supports 128K tokens and Qwen2.5 14B 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-4o and Qwen2.5 14B 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-4o and Qwen2.5 14B Instruct?

GPT-4o is developed by OpenAI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.