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o3 vs Qwen2 7B Instruct
Comprehensive side-by-side LLM comparison
o3 leads with 18.6% higher average benchmark score. o3 supports multimodal inputs. Overall, o3 is the stronger choice for coding tasks.
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OpenAI
o3 is a multimodal language model developed by OpenAI. It achieves strong performance with an average score of 67.5% across 22 benchmarks. It excels particularly in COLLIE (98.4%), AIME 2024 (91.6%), ARC-AGI (88.0%). It supports a 300K token context window for handling large documents. The model is available through 1 API provider. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2025, it represents OpenAI's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2 7B Instruct is a language model developed by Alibaba Cloud / Qwen Team. The model shows competitive results across 14 benchmarks. It excels particularly in MT-Bench (84.1%), GSM8k (82.3%), HumanEval (79.9%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
8 months newer
Qwen2 7B Instruct
Alibaba Cloud / Qwen Team
2024-07-23
o3
OpenAI
2025-04-16
Performance Metrics
Context window and performance specifications
Average performance across 35 common benchmarks
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o3
Average Score:42.4%(+18.6%)
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Qwen2 7B Instruct
Average Score:23.8%
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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 7B Instruct
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o3
Avg Score:42.4%(+18.6%)
Providers:1
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Qwen2 7B Instruct
Avg Score:23.8%
Providers:0