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o1 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
o1 leads with 20.5% higher average benchmark score. o1 offers 160.7K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $74.40 cheaper per million tokens. Overall, o1 is the stronger choice for coding tasks.
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OpenAI
o1 was developed as part of OpenAI's reasoning-focused model series, designed to spend more time thinking before responding. Built to excel at complex reasoning tasks in science, coding, and mathematics, it employs extended internal reasoning processes to solve harder problems than traditional language models through careful step-by-step analysis.
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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.
2 months newer
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
o1
OpenAI
2024-12-17
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Pricing Comparison
Cost per million tokens (USD)
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o1
Input:$15.00
Output:$60.00
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($74.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 5 common benchmarks
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o1
Average Score:85.3%(+20.5%)
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Qwen2.5 7B Instruct
Average Score:64.8%
Provider Availability & Performance
Available providers and their performance metrics
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o1
2 providers
Azure
Throughput: 16 tok/s
Latency: 0.54ms
OpenAI
Throughput: 66 tok/s
Latency: 16.2ms
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o1
Avg Score:85.3%(+20.5%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:64.8%
Providers:1