+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 vs Llama 3.1 70B Instruct
Comprehensive side-by-side LLM comparison
DeepSeek VL2 offers 2.6K more tokens in context window than Llama 3.1 70B Instruct. Llama 3.1 70B Instruct is $4809.10 cheaper per million tokens. DeepSeek VL2 supports multimodal inputs. Llama 3.1 70B Instruct is available on 9 providers. Both models have their strengths depending on your specific coding needs.
+
+
+
+
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.
+
+
+
+
Meta
Llama 3.1 70B was created as a balanced open-source model, designed to provide strong performance with 70 billion parameters while remaining practical for many deployment scenarios. Built to serve as a versatile foundation for fine-tuning and application development, it combines capability with accessibility in the open-source ecosystem.
4 months newer
Llama 3.1 70B Instruct
Meta
2024-07-23
DeepSeek VL2
DeepSeek
2024-12-13
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek VL2
Input:$9.50
Output:$4800.00
+
+
+
+
Llama 3.1 70B Instruct
Input:$0.20
Output:$0.20($4809.10 cheaper)
Performance Metrics
Context window and performance specifications
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
+
+
+
+
Llama 3.1 70B Instruct
+
+
+
+
DeepSeek VL2
Avg Score:0.0%
Providers:1
+
+
+
+
Llama 3.1 70B Instruct
Avg Score:0.0%
Providers:9