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LLaMA 3.1 (405B) vs LLaMA 4 Scout: Benchmarks, Pricing, and Context Window Comparison

LLaMA 3.1 (405B) vs LLaMA 4 Scout 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 LLaMA 3.1 (405B) can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
LLaMA 3.1 (405B)
to
LLaMA 4 Scout
Overview
LLaMA 3.1 (405B) was released 8 months before LLaMA 4 Scout.
LLaMA 3.1 (405B)
LLaMA 4 Scout
Provider
The entity that provides this model.
Meta
Meta
Input Context Window
The number of tokens supported by the input context window.
128K
tokens
1M
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
2,048
tokens
Not specified.
Release Date
When the model was first released.
2024-07-23
2025-04-05
Leaderboard
LLaMA 3.1 (405B)
LLaMA 4 Scout
Rank
Unknown
Unknown
Arena Elo
Not specified.
Not specified.
95% CI
Not specified.
Not specified.
Votes
Not specified.
Not specified.
License
Not specified.
Not specified.
Knowledge Cutoff
Unknown
Unknown
Pricing
LLaMA 3.1 (405B)
LLaMA 4 Scout
Input
Cost of input data provided to the model.
$1.79
per million tokens
$0.15
per million tokens
Output
Cost of output tokens generated by the model.
$1.79
per million tokens
$0.40
per million tokens
Benchmarks
Compare relevant benchmarks between LLaMA 3.1 (405B) and LLaMA 4 Scout Instruct.
LLaMA 3.1 (405B)
LLaMA 4 Scout
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
85.2
(5-shot)
Source
Benchmark not available.
MMMU
A wide ranging multi-discipline and multimodal benchmark.
Benchmark not available.
69.4
Source
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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Mirai Minds