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Llama 3.2 90B VisionvsLlama 3.1 70B

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

Llama 3.2 90B Vision leads 2/5 categories

Head-to-Head Comparison

MetricLlama 3.2 90B VisionLlama 3.1 70B
Provider
Meta AI
Meta AI
Arena Rank
#11
#14
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
Balanced performance, fine-tuning, deployment
Release Date
Sep 25, 2024
Jul 23, 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.

View Meta AI profile →

Llama 3.1 70B

Llama 3.1 70B is Meta's mid-tier open-source model that offers an exceptional balance of capability and efficiency. At 70 billion parameters with a 128K context window, it delivers strong performance on reasoning, coding, and general tasks while being feasible to run on high-end consumer hardware or affordable cloud instances. It has become one of the most popular foundation models for fine-tuning and custom deployments across the industry.

View Meta AI profile →

Key Differences: Llama 3.2 90B Vision vs Llama 3.1 70B

1

Llama 3.2 90B Vision ranks higher in arena benchmarks (#11) indicating stronger overall performance.

2

Llama 3.2 90B Vision has 90B parameters vs Llama 3.1 70B's 70B, which affects inference speed and capability.

L

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
View full Llama 3.2 90B Vision specs →
L

When to use Llama 3.1 70B

  • +Your use case involves balanced performance, fine-tuning, deployment
View full Llama 3.1 70B specs →

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 3.1 70B holds an edge in balanced performance, fine-tuning, deployment.

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 3.1 70B?
In our head-to-head comparison, Llama 3.2 90B Vision leads in 2 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 3.1 70B is better suited for balanced performance, fine-tuning, deployment. The best choice depends on your specific requirements, budget, and use case.
How does Llama 3.2 90B Vision pricing compare to Llama 3.1 70B?
Llama 3.2 90B Vision charges Free (open) per 1M input tokens and Free (open) per 1M output tokens. Llama 3.1 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 3.1 70B?
Llama 3.2 90B Vision supports a 128K token context window, while Llama 3.1 70B supports 128K tokens. 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 3.1 70B for free?
Llama 3.2 90B Vision is a paid API model starting at Free (open) per 1M input tokens. Llama 3.1 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 3.1 70B?
Llama 3.2 90B Vision holds arena rank #11, while Llama 3.1 70B holds rank #14. Llama 3.2 90B Vision performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. 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 3.1 70B better for coding?
Llama 3.2 90B Vision's primary strength is image understanding, visual qa, multimodal tasks. Llama 3.1 70B's primary strength is balanced performance, fine-tuning, deployment. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.

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