Model Comparison

Llama 4 Maverick vs Phi 4 ReasoningWhich is better in 2026?

Llama 4 Maverick shows notably better performance in the majority of benchmarks.

Verdict: Llama 4 Maverick vs Phi 4 Reasoning — which is better?

Llama 4 Maverick (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 4 Maverick outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi 4 Reasoning is better at 1 benchmark (LiveCodeBench). Llama 4 Maverick shows notably better performance in the majority of benchmarks.

Choose Llama 4 Maverick if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Phi 4 Reasoning if…

  • you want the most recent training data — it shipped Apr 2025
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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Llama 4 Maverick outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Phi 4 Reasoning is better at 1 benchmark (LiveCodeBench).

Llama 4 Maverick shows notably better performance in the majority of benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

386.0B diff

Llama 4 Maverick has 386.0B more parameters than Phi 4 Reasoning, making it 2757.1% larger.

Meta
Llama 4 Maverick
400.0Bparameters
Microsoft
Phi 4 Reasoning
14.0Bparameters
400.0B
Llama 4 Maverick
14.0B
Phi 4 Reasoning

Context Window

Maximum input and output token capacity

Only Llama 4 Maverick specifies input context (1,000,000 tokens). Only Llama 4 Maverick specifies output context (1,000,000 tokens).

Meta
Llama 4 Maverick
Input1,000,000 tokens
Output1,000,000 tokens
Microsoft
Phi 4 Reasoning
Input- tokens
Output- tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Maverick supports multimodal inputs, whereas Phi 4 Reasoning does not.

Llama 4 Maverick can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 4 Maverick

Text
Images
Audio
Video

Phi 4 Reasoning

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Phi 4 Reasoning uses MIT.

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

Llama 4 Maverick

Llama 4 Community License Agreement

Open weights

Phi 4 Reasoning

MIT

Open weights

Release Timeline

When each model was launched

Llama 4 Maverick was released on 2025-04-05, while Phi 4 Reasoning was released on 2025-04-30.

Phi 4 Reasoning is 1 month newer than Llama 4 Maverick.

Llama 4 Maverick

Apr 5, 2025

1.2 years ago

Phi 4 Reasoning

Apr 30, 2025

1.1 years ago

3w newer

Knowledge Cutoff

When training data ends

Phi 4 Reasoning has a documented knowledge cutoff of 2025-03-01, while Llama 4 Maverick'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 4 Maverick's cutoff date.

Llama 4 Maverick

—

Phi 4 Reasoning

Mar 2025

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Meta
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher GPQA score (69.8% vs 65.8%)
Higher MMLU-Pro score (80.5% vs 74.3%)
Microsoft
Higher LiveCodeBench score (53.8% vs 43.4%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Maverick
Microsoft
Phi 4 Reasoning

FAQ

Common questions about Llama 4 Maverick vs Phi 4 Reasoning.

Which is better, Llama 4 Maverick or Phi 4 Reasoning?

Llama 4 Maverick shows notably better performance in the majority of benchmarks. Llama 4 Maverick 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 4 Maverick compare to Phi 4 Reasoning in benchmarks?

Llama 4 Maverick scores DocVQA: 94.4%, MGSM: 92.3%, ChartQA: 90.0%, MMLU: 85.5%, MMLU-Pro: 80.5%. 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 4 Maverick and Phi 4 Reasoning?

Llama 4 Maverick supports 1.0M 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 4 Maverick and Phi 4 Reasoning?

Key differences include multimodal support (yes vs no), licensing (Llama 4 Community License Agreement vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 4 Maverick and Phi 4 Reasoning?

Llama 4 Maverick is developed by Meta and Phi 4 Reasoning is developed by Microsoft.

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