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LLaMA 4 Scout vs Phi-4: Benchmarks, Pricing, and Context Window Comparison

LLaMA 4 Scout vs Phi-4 compares provider, context window, token pricing, benchmark performance, and release timeline in one side-by-side view. Use this page to quickly identify which model is a better fit for your production constraints, quality targets, and estimated cost per request.

Verdict

LLaMA 4 Scout has lower listed token pricing, while Phi-4 can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Compare
LLaMA 4 Scout
to
Phi-4
Overview
LLaMA 4 Scout was released 4 months after Phi-4.
LLaMA 4 Scout
Phi-4
Provider
The entity that provides this model.
Meta
Microsoft
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
4,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
Not specified.
4,000
tokens
Release Date
When the model was first released.
2025-04-05
2024-12-12
Leaderboard
LLaMA 4 Scout
Phi-4
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Microsoft Research License Agreement
Knowledge Cutoff
Unknown
Unknown
Pricing
LLaMA 4 Scout
Phi-4
Input
Cost of input data provided to the model.
$0.15
per million tokens
$0.125
per million tokens
Output
Cost of output tokens generated by the model.
$0.40
per million tokens
$0.5
per million tokens
Benchmarks
Compare relevant benchmarks between LLaMA 4 Scout and Phi-4 Instruct.
LLaMA 4 Scout
Phi-4
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
69.4
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.