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Llama 3.2 90B VisionvsLlama 3 70B

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

Llama 3.2 90B Vision leads 3/5 categories

Head-to-Head Comparison

MetricLlama 3.2 90B VisionLlama 3 70B
Provider
Arena Rank
#11
Context Window
128K
8K
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
General tasks, fine-tuning, instruction following
Release Date
Sep 25, 2024
Apr 18, 2024

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.

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Llama 3 70B

Llama 3 70B was Meta's flagship open model at launch, significantly outperforming Llama 2 across all benchmarks with improved reasoning, coding, and instruction-following capabilities. It became one of the most downloaded and fine-tuned open models in history, spawning thousands of community variants and establishing Meta's position as the leader in open-source AI development.

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Key Differences: Llama 3.2 90B Vision vs Llama 3 70B

1

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

2

Llama 3.2 90B Vision has 90B parameters vs Llama 3 70B's 70B, which affects inference speed and capability.

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 →
L

When to use Llama 3 70B

  • +Your use case involves general tasks, fine-tuning, instruction following
View full Llama 3 70B 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 70B holds an edge in general tasks, fine-tuning, instruction following.

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

Frequently Asked Questions

Which is better, Llama 3.2 90B Vision or Llama 3 70B?
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 70B is better suited for general tasks, fine-tuning, instruction following. The best choice depends on your specific requirements, budget, and use case.
How does Llama 3.2 90B Vision pricing compare to Llama 3 70B?
Llama 3.2 90B Vision charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Llama 3 70B 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 3.2 90B Vision and Llama 3 70B?
Llama 3.2 90B Vision supports a 128K token context window, while Llama 3 70B supports 8K 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 3.2 90B Vision or Llama 3 70B for free?
Llama 3.2 90B Vision is a paid API model starting at Free (open) per 1M input tokens. Llama 3 70B 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 3.2 90B Vision or Llama 3 70B?
Llama 3.2 90B Vision holds arena rank #11, while Llama 3 70B's rank is not yet available. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Llama 3.2 90B Vision or Llama 3 70B better for coding?
Llama 3.2 90B Vision's primary strength is image understanding, visual qa, multimodal tasks. Llama 3 70B's primary strength is general tasks, fine-tuning, instruction following. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.