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o3-mini vs Qwen2.5 72B Instruct
Comprehensive side-by-side LLM comparison
o3-mini leads with 21.3% higher average benchmark score. o3-mini offers 160.7K more tokens in context window than Qwen2.5 72B Instruct. Qwen2.5 72B Instruct is $4.75 cheaper per million tokens. Qwen2.5 72B Instruct is available on 4 providers. Overall, o3-mini is the stronger choice for coding tasks.
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OpenAI
o3-mini was created as an efficient variant of the o3 reasoning model, designed to provide advanced thinking capabilities with reduced computational requirements. Built to make next-generation reasoning accessible to a broader range of applications, it balances analytical depth with practical speed and cost considerations.
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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.
4 months newer
Qwen2.5 72B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
o3-mini
OpenAI
2025-01-30
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Pricing Comparison
Cost per million tokens (USD)
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o3-mini
Input:$1.10
Output:$4.40
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Qwen2.5 72B Instruct
Input:$0.35
Output:$0.40($4.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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o3-mini
Average Score:88.4%(+21.3%)
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Qwen2.5 72B Instruct
Average Score:67.1%
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Knowledge Cutoff
Training data recency comparison
o3-mini
2023-09-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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o3-mini
2 providers
Azure
Throughput: 115 tok/s
Latency: 5.2ms
OpenAI
Throughput: 115 tok/s
Latency: 5.2ms
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o3-mini
Avg Score:88.4%(+21.3%)
Providers:2
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Qwen2.5 72B Instruct
Avg Score:67.1%
Providers:4