+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
o1-mini vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
o1-mini leads with 8.4% higher average benchmark score. o1-mini offers 54.3K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $14.25 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, o1-mini is the stronger choice for coding tasks.
+
+
+
+
OpenAI
o1-mini was created as a faster, more cost-effective reasoning model, designed to bring extended thinking capabilities to applications with tighter latency and budget constraints. Built to excel particularly in coding and STEM reasoning while maintaining affordability, it provides a more accessible entry point to reasoning-enhanced AI assistance.
+
+
+
+
Alibaba Cloud / Qwen Team
Qwen 2.5 72B was developed as the flagship text model in the Qwen 2.5 series, designed to provide advanced language capabilities with 72 billion parameters. Built to compete with frontier models in reasoning, coding, and general language tasks, it represents Qwen's most capable instruction-following model in this generation.
7 days newer
o1-mini
OpenAI
2024-09-12
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
o1-mini
Input:$3.00
Output:$12.00
+
+
+
+
Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40($14.25 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
+
+
+
+
o1-mini
Average Score:76.2%(+8.4%)
+
+
+
+
Qwen2.5 72B Instruct
Average Score:67.8%
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
o1-mini
2 providers
Azure
Throughput: 100 tok/s
Latency: 0.5ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
+
+
+
+
+
+
+
+
o1-mini
Avg Score:76.2%(+8.4%)
Providers:2
+
+
+
+
Qwen2.5 72B Instruct
Avg Score:67.8%
Providers:4