DeepSeek VL2 vs Llama 3.1 405B Instruct
Llama 3.1 405B Instruct leads the LLM Stats Score 14.7 to 2.9.
DeepSeek · Meta · Updated for 2026
Which is better?
Llama 3.1 405B Instruct leads the overall LLM Stats Score 14.7 to 2.9, ranking #233 overall.
DeepSeek VL2 also accepts a larger context window (129,280 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek VL2
- you process long inputs — it offers a 129,280 token context window
- you want the most recent training data — it shipped Dec 2024
Choose Llama 3.1 405B Instruct
- overall performance matters — it scores 14.7 and ranks #233 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
At a glance
The differences that matter most.
Individual benchmarks
14 reported for DeepSeek VL2 · 18 for Llama 3.1 405B Instruct
DeepSeek VL2 and Llama 3.1 405B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Llama 3.1 405B Instruct has 378.0B more parameters than DeepSeek VL2, making it 1400.0% larger.
Context Window
Maximum input and output token capacity
DeepSeek VL2 accepts 129,280 input tokens compared to Llama 3.1 405B Instruct's 128,000 tokens. DeepSeek VL2 can generate longer responses up to 129,280 tokens, while Llama 3.1 405B Instruct is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
DeepSeek VL2 supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.
DeepSeek VL2 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek VL2
Llama 3.1 405B Instruct
License
Usage and distribution terms
DeepSeek VL2 is licensed under deepseek, while Llama 3.1 405B Instruct uses Llama 3.1 Community License.
License differences may affect how you can use these models in commercial or open-source projects.
deepseek
Open weights
Llama 3.1 Community License
Open weights
Release Timeline
When each model was launched
DeepSeek VL2 was released on 2024-12-13, while Llama 3.1 405B Instruct was released on 2024-07-23.
DeepSeek VL2 is 5 months newer than Llama 3.1 405B Instruct.
Dec 13, 2024
1.8 years ago
4mo newerJul 23, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek VL2 is available from Replicate. Llama 3.1 405B Instruct is available from Lambda, DeepInfra, Fireworks, Bedrock, Together, Hyperbolic, Google, Replicate.
DeepSeek VL2
Llama 3.1 405B Instruct
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek VL2 and Llama 3.1 405B Instruct side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek VL2 vs Llama 3.1 405B Instruct.