+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
o4-mini vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
o4-mini leads with 45.0% higher average benchmark score. o4-mini offers 160.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $4.90 cheaper per million tokens. o4-mini supports multimodal inputs. Overall, o4-mini is the stronger choice for coding tasks.
+
+
+
+
OpenAI
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 7B was created as an efficient instruction-tuned model, designed to provide capable performance with just 7 billion parameters. Built for applications requiring reliable language understanding with minimal computational overhead, it serves as an accessible entry point to the Qwen 2.5 family.
6 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
o4-mini
OpenAI
2025-04-16
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
o4-mini
Input:$1.10
Output:$4.40
+
+
+
+
Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($4.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
+
+
+
+
o4-mini
Average Score:81.4%(+45.0%)
+
+
+
+
Qwen2.5 7B Instruct
Average Score:36.4%
+
+
+
+
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 7B Instruct
+
+
+
+
o4-mini
Avg Score:81.4%(+45.0%)
Providers:1
+
+
+
+
Qwen2.5 7B Instruct
Avg Score:36.4%
Providers:1