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Gemini 2.5 Pro vs LLaMA 4 Scout: Benchmarks, Pricing, and Context Window Comparison

Gemini 2.5 Pro 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 Gemini 2.5 Pro can still be preferable if benchmark results better match your workload.

Author: Mirai Minds Research Team

Last updated:

Sources

Compare
Gemini 2.5 Pro
to
LLaMA 4 Scout
Overview
Gemini 2.5 Pro was released the same time LLaMA 4 Scout.
Gemini 2.5 Pro
LLaMA 4 Scout
Provider
The entity that provides this model.
Google
Meta
Input Context Window
The number of tokens supported by the input context window.
2M
tokens
1M
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
64K
tokens
Not specified.
Release Date
When the model was first released.
2025-03-25
2025-04-05
Leaderboard
Gemini 2.5 Pro
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
Gemini 2.5 Pro
LLaMA 4 Scout
Input
Cost of input data provided to the model.
$1.25
per million tokens
$0.15
per million tokens
Output
Cost of output tokens generated by the model.
$10.00
per million tokens
$0.40
per million tokens
Benchmarks
Compare relevant benchmarks between Gemini 2.5 Pro and LLaMA 4 Scout Instruct.
Gemini 2.5 Pro
LLaMA 4 Scout
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.
81.7
Source
69.4
Source
HellaSwag
A challenging sentence completion benchmark.
Benchmark not available.
Benchmark not available.

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