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DeepSeek VL2 Tiny vs Kimi K2 Instruct
Comprehensive side-by-side LLM comparison
Kimi K2 Instruct leads with 31.7% higher average benchmark score. DeepSeek VL2 Tiny supports multimodal inputs. Overall, Kimi K2 Instruct is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 Tiny is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 63.1% across 14 benchmarks. It excels particularly in DocVQA (88.9%), ChartQA (81.0%), OCRBench (80.9%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents DeepSeek's latest advancement in AI technology.
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Moonshot AI
Kimi K2 Instruct is a language model developed by Moonshot AI. It achieves strong performance with an average score of 66.7% across 38 benchmarks. It excels particularly in MATH-500 (97.4%), GSM8k (97.3%), CBNSL (95.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Moonshot AI's latest advancement in AI technology.
7 months newer
DeepSeek VL2 Tiny
DeepSeek
2024-12-13
Kimi K2 Instruct
Moonshot AI
2025-07-11
Performance Metrics
Context window and performance specifications
Average performance across 52 common benchmarks
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DeepSeek VL2 Tiny
Average Score:17.0%
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Kimi K2 Instruct
Average Score:48.7%(+31.7%)
Provider Availability & Performance
Available providers and their performance metrics
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DeepSeek VL2 Tiny
0 providers
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Kimi K2 Instruct
1 providers
Novita
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DeepSeek VL2 Tiny
Avg Score:17.0%
Providers:0
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Kimi K2 Instruct
Avg Score:48.7%(+31.7%)
Providers:1