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DeepSeek VL2 vs GPT-4.1 mini
Comprehensive side-by-side LLM comparison
GPT-4.1 mini leads with 15.9% higher average benchmark score. GPT-4.1 mini offers 821.8K more tokens in context window than DeepSeek VL2. GPT-4.1 mini is $4807.50 cheaper per million tokens. Overall, GPT-4.1 mini is the stronger choice for coding tasks.
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DeepSeek
DeepSeek-VL2 was developed as a vision-language model, designed to handle both visual and textual inputs for multimodal understanding tasks. Built to extend DeepSeek's capabilities beyond text-only processing, it enables applications requiring integrated analysis of images and language.
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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.
4 months newer
DeepSeek VL2
DeepSeek
2024-12-13
GPT-4.1 mini
OpenAI
2025-04-14
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Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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GPT-4.1 mini
Input:$0.40
Output:$1.60($4807.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 2 common benchmarks
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DeepSeek VL2
Average Score:57.0%
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GPT-4.1 mini
Average Score:72.9%(+15.9%)
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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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DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
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GPT-4.1 mini
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DeepSeek VL2
Avg Score:57.0%
Providers:1
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GPT-4.1 mini
Avg Score:72.9%(+15.9%)
Providers:2