+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
DeepSeek VL2 vs Llama 3.2 90B Instruct
Comprehensive side-by-side LLM comparison
Both models show comparable benchmark performance. DeepSeek VL2 offers 2.6K more tokens in context window than Llama 3.2 90B Instruct. Llama 3.2 90B Instruct is $4808.75 cheaper per million tokens. Llama 3.2 90B Instruct is available on 5 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 3.2 90B was developed as a flagship-tier open-source model, designed to provide advanced capabilities with 90 billion parameters. Built to serve applications requiring high-quality reasoning and generation, it represents a powerful option within the Llama 3.2 series for demanding tasks.
2 months newer
Llama 3.2 90B Instruct
Meta
2024-09-25
DeepSeek VL2
DeepSeek
2024-12-13
+
+
+
+
+
+
+
+
+
+
+
+
Pricing Comparison
Cost per million tokens (USD)
+
+
+
+
DeepSeek VL2
Input:$9.50
Output:$4800.00
+
+
+
+
Llama 3.2 90B Instruct
Input:$0.35
Output:$0.40($4808.75 cheaper)
Performance Metrics
Context window and performance specifications
Average performance across 6 common benchmarks
+
+
+
+
DeepSeek VL2
Average Score:76.5%
+
+
+
+
Llama 3.2 90B Instruct
Average Score:76.5%(+0.0%)
Provider Availability & Performance
Available providers and their performance metrics
+
+
+
+
DeepSeek VL2
1 providers
Replicate
Throughput: 22 tok/s
Latency: 0.5ms
+
+
+
+
Llama 3.2 90B Instruct
+
+
+
+
DeepSeek VL2
Avg Score:76.5%
Providers:1
+
+
+
+
Llama 3.2 90B Instruct
Avg Score:76.5%(+0.0%)
Providers:5