Model Comparison

Llama 4 Scout vs Phi 4

Llama 4 Scout has a slight edge in benchmark performance. Phi 4 is 1.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

Llama 4 Scout outperforms in 3 benchmarks (GPQA, MGSM, MMLU-Pro), while Phi 4 is better at 2 benchmarks (MATH, MMLU).

Llama 4 Scout has a slight edge in benchmark performance.

Thu May 21 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Phi 4 costs less

For input processing, Llama 4 Scout ($0.08/1M tokens) is 1.1x more expensive than Phi 4 ($0.07/1M tokens).

For output processing, Llama 4 Scout ($0.30/1M tokens) is 2.1x more expensive than Phi 4 ($0.14/1M tokens).

In conclusion, Llama 4 Scout is more expensive than Phi 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu May 21 2026 • llm-stats.com
Meta
Llama 4 Scout
Input tokens$0.08
Output tokens$0.30
Best providerDeepinfra
Microsoft
Phi 4
Input tokens$0.07
Output tokens$0.14
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

94.3B diff

Llama 4 Scout has 94.3B more parameters than Phi 4, making it 641.5% larger.

Meta
Llama 4 Scout
109.0Bparameters
Microsoft
Phi 4
14.7Bparameters
109.0B
Llama 4 Scout
14.7B
Phi 4

Context Window

Maximum input and output token capacity

Llama 4 Scout accepts 10,000,000 input tokens compared to Phi 4's 16,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Phi 4 is limited to 16,000 tokens.

Meta
Llama 4 Scout
Input10,000,000 tokens
Output10,000,000 tokens
Microsoft
Phi 4
Input16,000 tokens
Output16,000 tokens
Thu May 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Llama 4 Scout supports multimodal inputs, whereas Phi 4 does not.

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

Llama 4 Scout

Text
Images
Audio
Video

Phi 4

Text
Images
Audio
Video

License

Usage and distribution terms

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

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

Llama 4 Scout

Llama 4 Community License Agreement

Open weights

Phi 4

MIT

Open weights

Release Timeline

When each model was launched

Llama 4 Scout was released on 2025-04-05, while Phi 4 was released on 2024-12-12.

Llama 4 Scout is 4 months newer than Phi 4.

Llama 4 Scout

Apr 5, 2025

1.1 years ago

3mo newer
Phi 4

Dec 12, 2024

1.4 years ago

Knowledge Cutoff

When training data ends

Phi 4 has a documented knowledge cutoff of 2024-06-01, while Llama 4 Scout's cutoff date is not specified.

We can confirm Phi 4's training data extends to 2024-06-01, but cannot make a direct comparison without Llama 4 Scout's cutoff date.

Llama 4 Scout

—

Phi 4

Jun 2024

Provider Availability

Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Phi 4 is available from DeepInfra.

Llama 4 Scout

deepinfra logo
Deepinfra
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
lambda logo
Lambda
Input Price:Input: $0.08/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
groq logo
Groq
Input Price:Input: $0.11/1MOutput Price:Output: $0.34/1M
fireworks logo
Fireworks
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.18/1MOutput Price:Output: $0.59/1M

Phi 4

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.14/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Meta
Larger context window (10,000,000 tokens)
Supports multimodal inputs
Higher GPQA score (57.2% vs 56.1%)
Higher MGSM score (90.6% vs 80.6%)
Higher MMLU-Pro score (74.3% vs 70.4%)
Microsoft
Less expensive input tokens
Less expensive output tokens
Higher MATH score (80.4% vs 50.3%)
Higher MMLU score (84.8% vs 79.6%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 4 Scout
Microsoft
Phi 4

FAQ

Common questions about Llama 4 Scout vs Phi 4.

Which is better, Llama 4 Scout or Phi 4?

Llama 4 Scout has a slight edge in benchmark performance. Llama 4 Scout is made by Meta and Phi 4 is made by Microsoft. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 4 Scout compare to Phi 4 in benchmarks?

Llama 4 Scout scores DocVQA: 94.4%, MGSM: 90.6%, ChartQA: 88.8%, MMLU: 79.6%, MMLU-Pro: 74.3%. Phi 4 scores MMLU: 84.8%, HumanEval+: 82.8%, HumanEval: 82.6%, MGSM: 80.6%, MATH: 80.4%.

Is Llama 4 Scout cheaper than Phi 4?

Phi 4 is 1.1x cheaper for input tokens. Llama 4 Scout costs $0.08/M input and $0.30/M output via deepinfra. Phi 4 costs $0.07/M input and $0.14/M output via deepinfra.

What are the context window sizes for Llama 4 Scout and Phi 4?

Llama 4 Scout supports 10.0M tokens and Phi 4 supports 16K 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 Scout and Phi 4?

Key differences include context window (10.0M vs 16K), input pricing ($0.08 vs $0.07/M), 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 Scout and Phi 4?

Llama 4 Scout is developed by Meta and Phi 4 is developed by Microsoft.