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GPT-4o mini vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. GPT-4o mini offers 5.1K more tokens in context window than Qwen2.5 7B Instruct. Both models have similar pricing. GPT-4o mini supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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OpenAI
GPT-4o Mini was created as a smaller, more efficient variant of GPT-4o, designed to bring multimodal capabilities to applications requiring faster response times and lower costs. Built to democratize access to advanced vision and text understanding, it enables developers to build sophisticated applications with reduced resource requirements.
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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
GPT-4o mini
OpenAI
2024-07-18
Qwen2.5 7B Instruct
Alibaba Cloud / Qwen Team
2024-09-19
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4o mini
Input:$0.15
Output:$0.60
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($0.15 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 3 common benchmarks
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GPT-4o mini
Average Score:65.9%(+0.3%)
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Qwen2.5 7B Instruct
Average Score:65.6%
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Knowledge Cutoff
Training data recency comparison
GPT-4o mini
2023-10-01
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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GPT-4o mini
1 providers
Azure
Throughput: 92 tok/s
Latency: 0.52ms
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Qwen2.5 7B Instruct
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GPT-4o mini
Avg Score:65.9%(+0.3%)
Providers:1
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Qwen2.5 7B Instruct
Avg Score:65.6%
Providers:1