Llama 4 Scout vs Nova Micro
Llama 4 Scout leads the LLM Stats Score 8.0 to 2.5. Nova Micro is 2.3x cheaper per token.
Meta · Amazon · Updated for 2026
Which is better?
Llama 4 Scout leads the overall LLM Stats Score 8.0 to 2.5, ranking #272 overall.
In the 3 individual benchmarks reported for both models, Llama 4 Scout wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Nova Micro is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Llama 4 Scout also accepts a larger context window (10,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Llama 4 Scout
- overall performance matters — it scores 8.0 and ranks #272 on LLM Stats
- you value its reported benchmark strengths — it wins 2 of 3 exact shared results
- you process long inputs — it offers a 10,000,000 token context window
- you want the most recent training data — it shipped Apr 2025
- you need open weights you can self-host or fine-tune
Choose Nova Micro
- cost matters — it's about 2.3x cheaper per token
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Llama 4 Scout · 17 for Nova Micro
Llama 4 Scout outperforms in 2 benchmarks (GPQA, MMLU), while Nova Micro is better at 1 benchmark (MATH).
Llama 4 Scout shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 4 Scout ($0.08/1M tokens) is 2.7x more expensive than Nova Micro ($0.03/1M tokens).
For output processing, Llama 4 Scout ($0.30/1M tokens) is 2.1x more expensive than Nova Micro ($0.14/1M tokens).
In conclusion, Llama 4 Scout is more expensive than Nova Micro.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Llama 4 Scout accepts 10,000,000 input tokens compared to Nova Micro's 128,000 tokens. Llama 4 Scout can generate longer responses up to 10,000,000 tokens, while Nova Micro is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Llama 4 Scout supports multimodal inputs, whereas Nova Micro does not.
Llama 4 Scout can handle both text and other forms of data like images, making it suitable for multimodal applications.
Llama 4 Scout
Nova Micro
License
Usage and distribution terms
Llama 4 Scout is licensed under Llama 4 Community License Agreement, while Nova Micro uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 4 Scout was released on 2025-04-05, while Nova Micro was released on 2024-11-20.
Llama 4 Scout is 5 months newer than Nova Micro.
Apr 5, 2025
1.4 years ago
4mo newerNov 20, 2024
1.8 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Scout is available from DeepInfra, Lambda, Novita, Groq, Fireworks, Together. Nova Micro is available from Bedrock.
Llama 4 Scout
Nova Micro
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Scout and Nova Micro side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Scout vs Nova Micro.