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LLaMA 4 Scout vs o1-mini: Benchmarks, Pricing, and Context Window Comparison

LLaMA 4 Scout vs o1-mini 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 o1-mini can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
LLaMA 4 Scout
to
o1-mini
Overview
LLaMA 4 Scout was released 7 months after o1-mini.
LLaMA 4 Scout
o1-mini
Provider
The entity that provides this model.
Meta
OpenAI
Input Context Window
The number of tokens supported by the input context window.
1M
tokens
128000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
Not specified.
65536
tokens
Release Date
When the model was first released.
2025-04-05
2024-09-12
Leaderboard
LLaMA 4 Scout
o1-mini
Rank
Unknown
5
Arena Elo
Not specified.
1307
95% CI
Not specified.
+3/-4
Votes
Not specified.
35691
License
Not specified.
Proprietary
Knowledge Cutoff
Unknown
4/2023
Pricing
LLaMA 4 Scout
o1-mini
Input
Cost of input data provided to the model.
$0.15
per million tokens
$1.10
per million tokens
Output
Cost of output tokens generated by the model.
$0.40
per million tokens
$4.40
per million tokens
Benchmarks
Compare relevant benchmarks between LLaMA 4 Scout and o1-mini Instruct.
LLaMA 4 Scout
o1-mini
MMLU
Evaluating LLM knowledge acquisition in zero-shot and few-shot settings.
Benchmark not available.
85.2
(5-shot)
Source
MMMU
A wide ranging multi-discipline and multimodal benchmark.
69.4
Source
Benchmark not available.
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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