Llama 3 70BvsLlama 3.2 90B Vision
Meta AI vs Meta AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Llama 3 70B | Llama 3.2 90B Vision |
|---|---|---|
| Provider | Meta AI | Meta AI |
| Arena Rank | — | #11 |
| Context Window | 8K | 128K |
| Input Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Output Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Parameters | 70B | 90B |
| Open Source | Yes | Yes |
| Best For | General tasks, fine-tuning, instruction following | Image understanding, visual QA, multimodal tasks |
| Release Date | Apr 18, 2024 | Sep 25, 2024 |
Llama 3 70B
Llama 3 70B, developed by Meta AI, is a high-capability open-source model with 70 billion parameters and an 8K token context window. The model competes with proprietary alternatives on reasoning, coding, instruction following, and general knowledge tasks. Trained on over 15 trillion tokens, it represented a significant capability upgrade over Llama 2 across all benchmark categories. Llama 3 70B requires multiple GPUs for inference but can be deployed on standard enterprise hardware, enabling organizations to run powerful AI on their own infrastructure. Its open-source license permits commercial use, fine-tuning, and redistribution without fees. The model has become a foundation for enterprise AI deployments where data sovereignty requirements prevent use of cloud-based API services. It remains widely deployed despite the release of newer Llama versions.
Llama 3.2 90B Vision
Llama 3.2 90B Vision, developed by Meta AI, is a multimodal open-source model with 90 billion parameters and a 128K token context window. The model processes both text and images, enabling visual question answering, document understanding, chart analysis, and image-grounded reasoning tasks. It represents Meta's first open-source model with vision capabilities, extending the Llama family beyond text-only processing. The vision encoder integrates seamlessly with the language model, producing coherent responses that reference visual elements accurately. Free and open-source, it can be deployed on enterprise GPU infrastructure for privacy-sensitive visual AI applications. Llama 3.2 90B Vision ranks #11 on the Chatbot Arena leaderboard, making it one of the highest-ranked open-source multimodal models available and a strong alternative to proprietary vision-language systems.
Key Differences: Llama 3 70B vs Llama 3.2 90B Vision
Llama 3.2 90B Vision supports a larger context window (128K), allowing it to process longer documents in a single request.
Llama 3 70B has 70B parameters vs Llama 3.2 90B Vision's 90B, which affects inference speed and capability.
When to use Llama 3 70B
- +Your use case involves general tasks, fine-tuning, instruction following
When to use Llama 3.2 90B Vision
- +You need to process long documents (128K context)
- +Your use case involves image understanding, visual qa, multimodal tasks
The Verdict
Llama 3.2 90B Vision wins our head-to-head comparison with 3 out of 5 category wins. It's the stronger choice for image understanding, visual qa, multimodal tasks, though Llama 3 70B holds an edge in general tasks, fine-tuning, instruction following.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages