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GPT-4.1 vs Qwen2.5 7B Instruct
Comprehensive side-by-side LLM comparison
GPT-4.1 leads with 23.0% higher average benchmark score. GPT-4.1 offers 941.1K more tokens in context window than Qwen2.5 7B Instruct. Qwen2.5 7B Instruct is $9.40 cheaper per million tokens. GPT-4.1 supports multimodal inputs. Overall, GPT-4.1 is the stronger choice for coding tasks.
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OpenAI
GPT-4.1 represents an iterative improvement in the GPT-4 series, developed to refine the foundational capabilities established by GPT-4. Built to incorporate learnings and optimizations from the deployment of previous versions, it continues the evolution of OpenAI's flagship model line with enhanced reliability and performance.
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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
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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GPT-4.1
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 2 common benchmarks
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GPT-4.1
Average Score:76.8%(+23.0%)
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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
2024-06-01
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-4.1
1 providers
OpenAI
Throughput: 100 tok/s
Latency: 10ms
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Qwen2.5 7B Instruct
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GPT-4.1
Avg Score:76.8%(+23.0%)
Providers:1
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Qwen2.5 7B Instruct
Avg Score:53.8%
Providers:1