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o3-mini vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
o3-mini leads with 33.7% higher average benchmark score. o3-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. 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 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.
4 months newer
Qwen2.5 7B 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 7B Instruct
Input:$0.30
Output:$0.30($4.90 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 4 common benchmarks
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o3-mini
Average Score:88.4%(+33.7%)
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Qwen2.5 7B Instruct
Average Score:54.8%
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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%(+33.7%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:54.8%
Providers:1