Which is cheaper, Llama 4 Scout or Phi-4?

Phi-4 is cheaper for both input ($0.07/M tokens) and output ($0.14/M tokens), compared to Llama 4 Scout at $0.10/$0.30 per million tokens.

Which is faster, Llama 4 Scout or Phi-4?

Phi-4 is faster at 160 tokens/sec with a TTFT of 100ms, compared to Llama 4 Scout at 110 tokens/sec and 200ms TTFT.

Which has a bigger context window, Llama 4 Scout or Phi-4?

Llama 4 Scout has a 10486K token context window, which is larger Phi-4's 16K context window.

Which is better for coding, Llama 4 Scout or Phi-4?

Llama 4 Scout has a higher coding ELO of 1230 compared to Phi-4's 1130, making it the stronger choice for code generation and programming tasks.

Llama 4 Scout vs Phi-4: Pricing, Benchmarks & Verdict (2026)

Name: Llama 4 Scout vs Phi-4 — Pricing, Benchmarks & Speed Comparison 2026
Creator: LLMversus
License: https://creativecommons.org/licenses/by/4.0/

Pricing verified Sep 14, 2026By LLMversusUpdated September 17, 2026View methodology

⚡ Quick Answer

Phi-4 is significantly cheaper at $0.07/$0.14 per million tokens vs $0.10/$0.30. Llama 4 Scout is stronger for coding with a coding ELO of 1230 vs 1130. Phi-4 is faster at 160 tokens/sec vs 110 tokens/sec. Llama 4 Scout ranks higher overall with an Arena ELO of 1250 vs 1150. Llama 4 Scout offers a larger 10486K context window vs 16K.

Updated: September 14, 2026 · ✓ Pricing verified

Side-by-Side Comparison

Feature	Llama 4 Scout	Phi-4
Provider	Meta	Microsoft
Input Price / 1M tokens	$0.100	$0.070
Output Price / 1M tokens	$0.300	$0.140
Context Window	10.48576M	16.384K
Max Output Tokens	32,768	4,096
Arena ELO	1,250	1,150
Coding ELO	1,230	1,130
TTFT (ms)	200	100
Tokens/sec	110	160
Multimodal	Yes	No
JSON Mode	Yes	Yes
Function Calling	Yes	No
Vision	Yes	No

When to Use Llama 4 Scout

Choose Llama 4 Scout when you need: 10m token context window, very affordable, open-source and self-hostable, good general performance. It excels at long-context, chatbots, cost-sensitive, open-source tasks. Its 10486K context window is larger, making it better for long-document processing.

Strengths:

10M token context window
Very affordable
Open-source and self-hostable
Good general performance

Best for:

long-contextchatbotscost-sensitiveopen-source

When to Use Phi-4

Choose Phi-4 when you need: ultra-low cost for a capable model, strong math for its size (14b params), very fast inference, can run on consumer hardware. It excels at cost-sensitive, edge-deployment, math, lightweight-tasks tasks. It is also the more cost-effective option between the two.

Strengths:

Ultra-low cost for a capable model
Strong math for its size (14B params)
Very fast inference
Can run on consumer hardware

Best for:

cost-sensitiveedge-deploymentmathlightweight-tasks

Llama 4 Scout vs Phi-4: Pricing, Benchmarks & Verdict (2026)

Side-by-Side Comparison

Frequently Asked Questions

Related Comparisons