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Model Comparison

Llama 3.1 405B Instruct vs Phi-3.5-vision-instructWhich is better in 2026?

Comparing Llama 3.1 405B Instruct and Phi-3.5-vision-instruct across benchmarks, pricing, and capabilities.

Verdict: Llama 3.1 405B Instruct vs Phi-3.5-vision-instruct — which is better?

Llama 3.1 405B Instruct (by Meta) and Phi-3.5-vision-instruct (by Microsoft) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Choose Llama 3.1 405B Instruct if…

  • you want predictable pricing at $0.89/M input and $0.89/M output

Choose Phi-3.5-vision-instruct if…

  • you want the most recent training data — it shipped Aug 2024

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Llama 3.1 405B Instruct and Phi-3.5-vision-instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

400.8B diff

Llama 3.1 405B Instruct has 400.8B more parameters than Phi-3.5-vision-instruct, making it 9542.9% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Microsoft
Phi-3.5-vision-instruct
4.2Bparameters
405.0B
Llama 3.1 405B Instruct
4.2B
Phi-3.5-vision-instruct

Context Window

Maximum input and output token capacity

Only Llama 3.1 405B Instruct specifies input context (128,000 tokens). Only Llama 3.1 405B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.1 405B Instruct
Input128,000 tokens
Output128,000 tokens
Microsoft
Phi-3.5-vision-instruct
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Phi-3.5-vision-instruct supports multimodal inputs, whereas Llama 3.1 405B Instruct does not.

Phi-3.5-vision-instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 405B Instruct

Text
Images
Audio
Video

Phi-3.5-vision-instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Phi-3.5-vision-instruct uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

Llama 3.1 405B Instruct

Llama 3.1 Community License

Open weights

Phi-3.5-vision-instruct

MIT

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Phi-3.5-vision-instruct was released on 2024-08-23.

Phi-3.5-vision-instruct is 1 month newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

2.0 years ago

Phi-3.5-vision-instruct

Aug 23, 2024

2.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (128,000 tokens)
Microsoft
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 405B Instruct and Phi-3.5-vision-instruct side-by-side, then vote on the output you prefer.

Llama 3.1 405B Instruct
✓ Preferred
Phi-3.5-vision-instruct
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 405B Instruct
Microsoft
Phi-3.5-vision-instruct

FAQ

Common questions about Llama 3.1 405B Instruct vs Phi-3.5-vision-instruct.

Which is better, Llama 3.1 405B Instruct or Phi-3.5-vision-instruct?

Llama 3.1 405B Instruct (Meta) and Phi-3.5-vision-instruct (Microsoft) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Llama 3.1 405B Instruct compare to Phi-3.5-vision-instruct in benchmarks?

Llama 3.1 405B Instruct scores ARC-C: 96.9%, GSM8k: 96.8%, API-Bank: 92.0%, Multilingual MGSM (CoT): 91.6%, HumanEval: 89.0%. Phi-3.5-vision-instruct scores ScienceQA: 91.3%, POPE: 86.1%, MMBench: 81.9%, ChartQA: 81.8%, AI2D: 78.1%.

What are the context window sizes for Llama 3.1 405B Instruct and Phi-3.5-vision-instruct?

Llama 3.1 405B Instruct supports 128K tokens and Phi-3.5-vision-instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 405B Instruct and Phi-3.5-vision-instruct?

Key differences include multimodal support (no vs yes), licensing (Llama 3.1 Community License vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 405B Instruct and Phi-3.5-vision-instruct?

Llama 3.1 405B Instruct is developed by Meta and Phi-3.5-vision-instruct is developed by Microsoft.

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