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GPT-4.1 mini vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 20.8% higher average benchmark score. GPT-4.1 mini offers 941.1K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $1.40 cheaper per million tokens. GPT-4.1 mini supports multimodal inputs. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 Mini was created as a smaller, more efficient variant of GPT-4.1, designed to provide strong capabilities with reduced computational requirements. Built to serve applications where speed and cost are priorities while maintaining solid performance, it extends the GPT-4.1 capabilities to resource-conscious deployments.
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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
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1 mini
Input:$0.40
Output:$1.60
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Qwen2.5 7B Instruct
Input:$0.30
Output:$0.30($1.40 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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GPT-4.1 mini
Average Score:74.6%(+20.8%)
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Qwen2.5 7B Instruct
Average Score:53.8%
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Knowledge Cutoff
Training data recency comparison
GPT-4.1 mini
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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GPT-4.1 mini
2 providers
OpenAI
Throughput: 150 tok/s
Latency: 5ms
ZeroEval
Throughput: 150 tok/s
Latency: 5ms
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GPT-4.1 mini
Avg Score:74.6%(+20.8%)
Providers:2
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Qwen2.5 7B Instruct
Avg Score:53.8%
Providers:1