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DeepSeek VL2 vs Kimi K2 0905
Comprehensive side-by-side LLM comparison
Kimi K2 0905 offers 265.7K more tokens in context window than DeepSeek VL2. Kimi K2 0905 is $4806.40 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. 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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Moonshot AI
Kimi K2 was introduced as the second generation of Moonshot's language model family, designed to provide enhanced capabilities across language understanding and generation. Built with architectural improvements and expanded training, it represents a significant advancement in Moonshot's model offerings.
8 months newer
DeepSeek VL2
DeepSeek
2024-12-13
Kimi K2 0905
Moonshot AI
2025-09-05
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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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Kimi K2 0905
Input:$0.60
Output:$2.50($4806.40 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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Kimi K2 0905
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Kimi K2 0905
Avg Score:0.0%
Providers:2