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DeepSeek VL2 vs Mistral Large 2
Comprehensive side-by-side LLM comparison
DeepSeek VL2 leads with 29.2% higher average benchmark score. DeepSeek VL2 offers 2.6K more tokens in context window than Mistral Large 2. Mistral Large 2 is $4801.50 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Overall, DeepSeek VL2 is the stronger choice for coding tasks.
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DeepSeek
DeepSeek VL2 is a multimodal language model developed by DeepSeek. It achieves strong performance with an average score of 70.9% across 14 benchmarks. It excels particularly in DocVQA (93.3%), ChartQA (86.0%), TextVQA (84.2%). It supports a 259K token context window for handling large documents. The model is available through 1 API provider. 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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Mistral AI
Mistral Large 2 is a language model developed by Mistral AI. This model demonstrates exceptional performance with an average score of 87.6% across 5 benchmarks. It excels particularly in GSM8k (93.0%), HumanEval (92.0%), MT-Bench (86.3%). It supports a 256K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents Mistral AI's latest advancement in AI technology.
4 months newer
Mistral Large 2
Mistral AI
2024-07-24
DeepSeek VL2
DeepSeek
2024-12-13
Pricing Comparison
Cost per million tokens (USD)
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DeepSeek VL2
Input:$9.50
Output:$4800.00
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Mistral Large 2
Input:$2.00
Output:$6.00($4801.50 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 19 common benchmarks
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DeepSeek VL2
Average Score:52.2%(+29.2%)
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Mistral Large 2
Average Score:23.1%
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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Mistral Large 2
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DeepSeek VL2
Avg Score:52.2%(+29.2%)
Providers:1
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Mistral Large 2
Avg Score:23.1%
Providers:2