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DeepSeek VL2 vs DeepSeek-R1
Comprehensive side-by-side LLM comparison
DeepSeek-R1 offers 3.6K more tokens in context window than DeepSeek VL2. DeepSeek-R1 is $4806.76 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. DeepSeek-R1 is available on 5 providers. Both models have their strengths depending on your specific coding needs.
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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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DeepSeek
DeepSeek-R1 was developed as a reasoning-focused language model, designed to combine chain-of-thought reasoning with reinforcement learning techniques. Built to excel at complex problem-solving through trial-and-error learning and deliberate analytical processes, it demonstrates the power of efficient training methods in open-source model development.
1 month newer
DeepSeek VL2
DeepSeek
2024-12-13
DeepSeek-R1
DeepSeek
2025-01-20
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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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DeepSeek-R1
Input:$0.55
Output:$2.19($4806.76 cheaper)
Performance Metrics
Context window and performance specifications
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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DeepSeek-R1
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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DeepSeek-R1
Avg Score:0.0%
Providers:5