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Llama 3 8BvsLlama 3.2 90B Vision

Meta AI vs Meta AI — Side-by-side model comparison

Llama 3.2 90B Vision leads 3/5 categories

Head-to-Head Comparison

MetricLlama 3 8BLlama 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
8B
90B
Open Source
Yes
Yes
Best For
Edge deployment, fast inference, fine-tuning
Image understanding, visual QA, multimodal tasks
Release Date
Apr 18, 2024
Sep 25, 2024

Llama 3 8B

Llama 3 8B is Meta's compact model that delivered breakthrough performance for its size class, outperforming the much larger Llama 2 70B on many benchmarks despite being nearly 10x smaller. Its efficiency and strong instruction following made it the most popular starting point for fine-tuning custom models in the open-source community.

View Meta AI profile →

Llama 3.2 90B Vision

Llama 3.2 90B Vision is Meta's first open-source multimodal model, capable of understanding both text and images. With 90 billion parameters, it can analyze charts, diagrams, photographs, and documents while maintaining strong text-only performance. This model represents Meta's push into multimodal AI, enabling the open-source community to build applications that understand visual content without relying on proprietary APIs.

View Meta AI profile →

Key Differences: Llama 3 8B vs Llama 3.2 90B Vision

1

Llama 3.2 90B Vision supports a larger context window (128K), allowing it to process longer documents in a single request.

2

Llama 3 8B has 8B parameters vs Llama 3.2 90B Vision's 90B, which affects inference speed and capability.

L

When to use Llama 3 8B

  • +Your use case involves edge deployment, fast inference, fine-tuning
View full Llama 3 8B specs →
L

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
View full Llama 3.2 90B Vision specs →

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 8B holds an edge in edge deployment, fast inference, fine-tuning.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Llama 3 8B or Llama 3.2 90B Vision?
In our head-to-head comparison, Llama 3.2 90B Vision leads in 3 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). Llama 3.2 90B Vision excels at image understanding, visual qa, multimodal tasks, while Llama 3 8B is better suited for edge deployment, fast inference, fine-tuning. The best choice depends on your specific requirements, budget, and use case.
How does Llama 3 8B pricing compare to Llama 3.2 90B Vision?
Llama 3 8B charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Llama 3.2 90B Vision charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Llama 3 8B and Llama 3.2 90B Vision?
Llama 3 8B supports a 8K token context window, while Llama 3.2 90B Vision supports 128K tokens. Llama 3.2 90B Vision can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Llama 3 8B or Llama 3.2 90B Vision for free?
Llama 3 8B is a paid API model starting at Free (open) per 1M input tokens. Llama 3.2 90B Vision is a paid API model starting at Free (open) per 1M input tokens. Open-source models can be self-hosted for free but require your own GPU infrastructure.
Which model has better benchmarks, Llama 3 8B or Llama 3.2 90B Vision?
Llama 3 8B's arena rank is not yet available, while Llama 3.2 90B Vision holds rank #11. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 3 8B or Llama 3.2 90B Vision better for coding?
Llama 3 8B's primary strength is edge deployment, fast inference, fine-tuning. Llama 3.2 90B Vision's primary strength is image understanding, visual qa, multimodal tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.

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