Llama 3.2 90B VisionvsLlama 3.3 70B
Meta AI vs Meta AI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Llama 3.2 90B Vision | Llama 3.3 70B |
|---|---|---|
| Provider | Meta AI | Meta AI |
| Arena Rank | #11 | #13 |
| Context Window | 128K | 128K |
| Input Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Output Pricing | Free (open)/1M tokens | Free (open)/1M tokens |
| Parameters | 90B | 70B |
| Open Source | Yes | Yes |
| Best For | Image understanding, visual QA, multimodal tasks | Instruction following, coding, reasoning |
| Release Date | Sep 25, 2024 | Dec 6, 2024 |
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.
Llama 3.3 70B
Llama 3.3 70B, developed by Meta AI, is an efficiency-optimized open-source model with 70 billion parameters and a 128K token context window. The model delivers capability comparable to the much larger Llama 3.1 405B, achieving near-frontier performance at a fraction of the compute requirements. This efficiency breakthrough means organizations can deploy competitive AI capabilities on significantly less hardware. Llama 3.3 excels at instruction following, coding, and structured reasoning tasks. Free and open-source, it runs on standard enterprise GPU setups and has become the de facto choice for organizations needing powerful, self-hosted AI. Its strong multilingual support covers dozens of languages. Llama 3.3 70B ranks #13 on the Chatbot Arena leaderboard, demonstrating that careful training optimization can close the gap between mid-size and frontier-scale models.
Key Differences: Llama 3.2 90B Vision vs Llama 3.3 70B
Llama 3.2 90B Vision ranks higher in arena benchmarks (#11) indicating stronger overall performance.
Llama 3.2 90B Vision has 90B parameters vs Llama 3.3 70B's 70B, which affects inference speed and capability.
When to use Llama 3.2 90B Vision
- +You need the highest quality output based on arena rankings
- +Your use case involves image understanding, visual qa, multimodal tasks
When to use Llama 3.3 70B
- +Your use case involves instruction following, coding, reasoning
The Verdict
Llama 3.2 90B Vision wins our head-to-head comparison with 2 out of 5 category wins. It's the stronger choice for image understanding, visual qa, multimodal tasks, though Llama 3.3 70B holds an edge in instruction following, coding, reasoning.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages