+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
o4-mini vs Qwen2.5 14B Instruct
Comprehensive side-by-side LLM comparison
Qwen2.5 14B Instruct leads with 6.5% higher average benchmark score. o4-mini supports multimodal inputs. Overall, Qwen2.5 14B Instruct is the stronger choice for coding tasks.
+
+
+
+
OpenAI
o4-mini is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 66.5% across 14 benchmarks. It excels particularly in AIME 2024 (93.4%), AIME 2025 (92.7%), MathVista (84.3%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 70.0% across 16 benchmarks. It excels particularly in GSM8k (94.8%), HumanEval (83.5%), MBPP (82.0%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 months newer
Qwen2.5 14B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
o4-mini
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 29 common benchmarks
+
+
+
+
o4-mini
Average Score:32.1%
+
+
+
+
Qwen2.5 14B Instruct
Average Score:38.6%(+6.5%)
+
+
+
+
Knowledge Cutoff
Training data recency comparison
o4-mini
2024-05-31
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
o4-mini
1 providers
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
+
+
+
+
Qwen2.5 14B Instruct
+
+
+
+
o4-mini
Avg Score:32.1%
Providers:1
+
+
+
+
Qwen2.5 14B Instruct
Avg Score:38.6%(+6.5%)
Providers:0