Model Comparison

GPT-4o mini vs Qwen2.5 7B Instruct

GPT-4o mini shows notably better performance in the majority of benchmarks. GPT-4o mini is 1.1x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GPT-4o mini outperforms in 2 benchmarks (GPQA, HumanEval), while Qwen2.5 7B Instruct is better at 1 benchmark (MATH).

GPT-4o mini shows notably better performance in the majority of benchmarks.

Sun Mar 29 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4o mini ($0.15/1M tokens) is 2.0x cheaper than Qwen2.5 7B Instruct ($0.30/1M tokens).

For output processing, GPT-4o mini ($0.60/1M tokens) is 2.0x more expensive than Qwen2.5 7B Instruct ($0.30/1M tokens).

In conclusion, Qwen2.5 7B Instruct is more expensive than GPT-4o mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sun Mar 29 2026 • llm-stats.com
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input tokens$0.30
Output tokens$0.30
Best providerTogether
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Qwen2.5 7B Instruct accepts 131,072 input tokens compared to GPT-4o mini's 128,000 tokens. GPT-4o mini can generate longer responses up to 16,384 tokens, while Qwen2.5 7B Instruct is limited to 8,192 tokens.

OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct
Input131,072 tokens
Output8,192 tokens
Sun Mar 29 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4o mini supports multimodal inputs, whereas Qwen2.5 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

Text
Images
Audio
Video

Qwen2.5 7B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-4o mini is licensed under a proprietary license, while Qwen2.5 7B Instruct uses Apache 2.0.

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

GPT-4o mini

Proprietary

Closed source

Qwen2.5 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-4o mini was released on 2024-07-18, while Qwen2.5 7B Instruct was released on 2024-09-19.

Qwen2.5 7B Instruct is 2 months newer than GPT-4o mini.

GPT-4o mini

Jul 18, 2024

1.7 years ago

Qwen2.5 7B Instruct

Sep 19, 2024

1.5 years ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-4o mini has a documented knowledge cutoff of 2023-10-01, while Qwen2.5 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 Qwen2.5 7B Instruct's cutoff date.

GPT-4o mini

Oct 2023

Qwen2.5 7B Instruct

Provider Availability

GPT-4o mini is available from Azure. Qwen2.5 7B Instruct is available from Together.

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M

Qwen2.5 7B Instruct

together logo
Together
Input Price:Input: $0.30/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Less expensive input tokens
Higher GPQA score (40.2% vs 36.4%)
Higher HumanEval score (87.2% vs 84.8%)
Alibaba Cloud / Qwen Team

Qwen2.5 7B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)
Less expensive output tokens
Has open weights
Higher MATH score (75.5% vs 70.2%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4o mini
Alibaba Cloud / Qwen Team
Qwen2.5 7B Instruct

FAQ

Common questions about GPT-4o mini vs Qwen2.5 7B Instruct

GPT-4o mini shows notably better performance in the majority of benchmarks. GPT-4o mini is made by OpenAI and Qwen2.5 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.
GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%. Qwen2.5 7B Instruct scores GSM8k: 91.6%, MT-Bench: 87.5%, HumanEval: 84.8%, MBPP: 79.2%, MATH: 75.5%.
GPT-4o mini is 2.0x cheaper for input tokens. GPT-4o mini costs $0.15/M input and $0.60/M output via azure. Qwen2.5 7B Instruct costs $0.30/M input and $0.30/M output via together.
GPT-4o mini supports 128K tokens and Qwen2.5 7B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 131K), input pricing ($0.15 vs $0.30/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-4o mini is developed by OpenAI and Qwen2.5 7B Instruct is developed by Alibaba Cloud / Qwen Team.