GPT-4o mini vs Qwen2 7B Instruct
GPT-4o mini leads the LLM Stats Score 3.6 to -4.5.
OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
GPT-4o mini leads the overall LLM Stats Score 3.6 to -4.5, ranking #313 overall.
In the 4 individual benchmarks reported for both models, GPT-4o mini wins 4; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4o mini
- overall performance matters — it scores 3.6 and ranks #313 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
Choose Qwen2 7B Instruct
- you want the most recent training data — it shipped Jul 2024
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for GPT-4o mini · 14 for Qwen2 7B Instruct
GPT-4o mini outperforms in 4 benchmarks (GPQA, HumanEval, MATH, MMLU), while Qwen2 7B Instruct is better at 0 benchmarks.
GPT-4o mini significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Context Window
Maximum input and output token capacity
Only GPT-4o mini specifies input context (128,000 tokens). Only GPT-4o mini specifies output context (16,384 tokens).
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas Qwen2 7B Instruct does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4o mini
Qwen2 7B Instruct
License
Usage and distribution terms
GPT-4o mini 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.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4o mini was released on 2024-07-18, while Qwen2 7B Instruct was released on 2024-07-23.
Qwen2 7B Instruct is 0 month newer than GPT-4o mini.
Jul 18, 2024
2.2 years ago
Jul 23, 2024
2.2 years ago
5d newerKnowledge Cutoff
When training data ends
GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen2 7B Instruct's cutoff date is not specified.
We can confirm GPT-4o mini's training data extends to 2023-10-01, but cannot make a direct comparison without Qwen2 7B Instruct's cutoff date.
Oct 2023
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Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4o mini and Qwen2 7B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4o mini vs Qwen2 7B Instruct.