Model Comparison

Llama 3.1 405B Instruct vs Phi 4 ReasoningWhich is better in 2026?

Phi 4 Reasoning shows notably better performance in the majority of benchmarks.

Verdict: Llama 3.1 405B Instruct vs Phi 4 Reasoning — which is better?

Llama 3.1 405B Instruct (by Meta) and Phi 4 Reasoning (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.

Llama 3.1 405B Instruct outperforms in 1 benchmarks (IFEval), while Phi 4 Reasoning is better at 2 benchmarks (GPQA, MMLU-Pro). Phi 4 Reasoning shows notably better performance in the majority of benchmarks.

Choose Llama 3.1 405B Instruct if…

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

Choose Phi 4 Reasoning if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • you want the most recent training data — it shipped Apr 2025

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 3.1 405B Instruct outperforms in 1 benchmarks (IFEval), while Phi 4 Reasoning is better at 2 benchmarks (GPQA, MMLU-Pro).

Phi 4 Reasoning shows notably better performance in the majority of benchmarks.

Mon Aug 03 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

391.0B diff

Llama 3.1 405B Instruct has 391.0B more parameters than Phi 4 Reasoning, making it 2792.9% larger.

Meta
Llama 3.1 405B Instruct
405.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
405.0B
Llama 3.1 405B Instruct
14.0B
Phi 4 Reasoning

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 4 Reasoning
Input- tokens
Output- tokens
Mon Aug 03 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 405B Instruct is licensed under Llama 3.1 Community License, while Phi 4 Reasoning 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 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Llama 3.1 405B Instruct was released on 2024-07-23, while Phi 4 Reasoning was released on 2025-04-30.

Phi 4 Reasoning is 9 months newer than Llama 3.1 405B Instruct.

Llama 3.1 405B Instruct

Jul 23, 2024

2.0 years ago

Phi 4 Reasoning

Apr 30, 2025

1.3 years ago

9mo newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Llama 3.1 405B Instruct's cutoff date is not specified.

We can confirm Phi 4 Reasoning's training data extends to 2025-03-01, but cannot make a direct comparison without Llama 3.1 405B Instruct's cutoff date.

Llama 3.1 405B Instruct

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Higher IFEval score (88.6% vs 83.4%)
Higher GPQA score (65.8% vs 50.7%)
Higher MMLU-Pro score (74.3% vs 73.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 405B Instruct and Phi 4 Reasoning side-by-side, then vote on the output you prefer.

Llama 3.1 405B Instruct
✓ Preferred
Phi 4 Reasoning
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 405B Instruct
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Llama 3.1 405B Instruct vs Phi 4 Reasoning.

Which is better, Llama 3.1 405B Instruct or Phi 4 Reasoning?

Phi 4 Reasoning shows notably better performance in the majority of benchmarks. Llama 3.1 405B Instruct is made by Meta and Phi 4 Reasoning is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.1 405B Instruct compare to Phi 4 Reasoning 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 4 Reasoning scores FlenQA: 97.7%, HumanEval+: 92.9%, IFEval: 83.4%, OmniMath: 76.6%, AIME 2024: 75.3%.

What are the context window sizes for Llama 3.1 405B Instruct and Phi 4 Reasoning?

Llama 3.1 405B Instruct supports 128K tokens and Phi 4 Reasoning 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 4 Reasoning?

Key differences include 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 4 Reasoning?

Llama 3.1 405B Instruct is developed by Meta and Phi 4 Reasoning is developed by Microsoft.