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DeepSeek VL2 vs o4-mini
Comprehensive side-by-side LLM comparison
o4-mini leads with 26.0% higher average benchmark score. o4-mini offers 41.4K more tokens in context window than DeepSeek VL2. o4-mini is $4804.00 cheaper per million tokens. Overall, o4-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
o4-mini was created as part of the next generation of OpenAI's reasoning models, designed to continue advancing the balance between analytical capability and operational efficiency. Built to bring cutting-edge reasoning techniques to applications requiring quick turnaround, it represents the evolution of compact reasoning-focused models.
4 months newer
DeepSeek VL2
DeepSeek
2024-12-13
o4-mini
OpenAI
2025-04-16
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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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o4-mini
Input:$1.10
Output:$4.40($4804.00 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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o4-mini
Average Score:82.9%(+26.0%)
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Knowledge Cutoff
Training data recency comparison
o4-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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o4-mini
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DeepSeek VL2
Avg Score:57.0%
Providers:1
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o4-mini
Avg Score:82.9%(+26.0%)
Providers:1