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o3 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
o3 leads with 46.9% higher average benchmark score. o3 offers 160.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $9.40 cheaper per million tokens. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
o3 represents the next generation in OpenAI's reasoning model series, developed to advance the capabilities of deliberate, step-by-step problem solving. Built to handle increasingly complex challenges across mathematics, science, and coding, it continues the evolution of reasoning-focused AI with improved analytical depth and accuracy.
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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.
6 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
o3
OpenAI
2025-04-16
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Pricing Comparison
Cost per million tokens (USD)
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o3
Input:$2.00
Output:$8.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($9.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 1 common benchmarks
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o3
Average Score:83.3%(+46.9%)
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Qwen2.5 7B Instruct
Average Score:36.4%
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Knowledge Cutoff
Training data recency comparison
o3
2024-05-31
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
1 providers
OpenAI
Throughput: 50 tok/s
Latency: 20ms
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Qwen2.5 7B Instruct
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o3
Avg Score:83.3%(+46.9%)
Providers:1
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Qwen2.5 7B Instruct
Avg Score:36.4%
Providers:1