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Llama 3.1 70BvsLlama 3.2 90B Vision

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

Llama 3.2 90B Vision leads 2/5 categories

Head-to-Head Comparison

MetricLlama 3.1 70BLlama 3.2 90B Vision
Provider
Meta AI
Meta AI
Arena Rank
#14
#11
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
70B
90B
Open Source
Yes
Yes
Best For
Balanced performance, fine-tuning, deployment
Image understanding, visual QA, multimodal tasks
Release Date
Jul 23, 2024
Sep 25, 2024

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 →

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 3.1 70B vs Llama 3.2 90B Vision

1

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

2

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

L

When to use Llama 3.1 70B

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

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 3.1 70B or Llama 3.2 90B Vision?
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 3.1 70B pricing compare to Llama 3.2 90B Vision?
Llama 3.1 70B 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 3.1 70B and Llama 3.2 90B Vision?
Llama 3.1 70B supports a 128K token context window, while Llama 3.2 90B Vision supports 128K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Llama 3.1 70B or Llama 3.2 90B Vision for free?
Llama 3.1 70B 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 3.1 70B or Llama 3.2 90B Vision?
Llama 3.1 70B holds arena rank #14, while Llama 3.2 90B Vision holds rank #11. 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 3.1 70B or Llama 3.2 90B Vision better for coding?
Llama 3.1 70B's primary strength is balanced performance, fine-tuning, deployment. 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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