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DeepSeek VL2 vs Mistral NeMo Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 offers 2.6K more tokens in context window than Mistral NeMo Instruct. Mistral NeMo Instruct is $4809.20 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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Mistral AI
Mistral Nemo was developed as a mid-sized instruction-tuned model, designed to balance capability with efficiency for practical deployments. Built to serve as a versatile foundation for various applications, it provides reliable performance across general language understanding and generation tasks.
4 months newer
Mistral NeMo Instruct
Mistral AI
2024-07-18
DeepSeek VL2
DeepSeek
2024-12-13
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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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Mistral NeMo Instruct
Input:$0.15
Output:$0.15($4809.20 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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Mistral NeMo Instruct
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DeepSeek VL2
Avg Score:0.0%
Providers:1
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Mistral NeMo Instruct
Avg Score:0.0%
Providers:2