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Llama 4 Scout vs Lyria 3 Clip Preview

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 4 Scout and Lyria 3 Clip Preview.

Meta

Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input...

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Google

Lyria 3 Clip Preview

30 second duration clips are priced at $0.04 per clip. Lyria 3 is Google's family of music generation models, available through the Gemini API. With Lyria 3, you can generate...

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Technical Specifications

SpecificationLlama 4 ScoutLyria 3 Clip Preview
ProviderMetaGoogle
Context Window10,000,000 tokens1,048,576 tokens
Agent Suitability82/100N/A
Time to First Token (TTFT)350 msN/A
Deployment Modelself hostablemanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2025-04-052026-03-30

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Scout

$0.10

Lyria 3 Clip Preview

$0.00

Output Price per Million Tokens

Llama 4 Scout

$0.30

Lyria 3 Clip Preview

$0.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8720.0%vsN/A
Llama 4 Scout
Lyria 3 Clip Preview
HumanEvalPython coding & logic synthesis
8950.0%vsN/A
Llama 4 Scout
Lyria 3 Clip Preview
MATHComplex mathematical problem solving
8100.0%vsN/A
Llama 4 Scout
Lyria 3 Clip Preview
GPQAGraduate-level expert reasoning
6680.0%vsN/A
Llama 4 Scout
Lyria 3 Clip Preview
HellaSwagCommonsense reasoning and inference
9450.0%vsN/A
Llama 4 Scout
Lyria 3 Clip Preview
MT-BenchMulti-turn conversation flow quality
910.0%vsN/A
Llama 4 Scout
Lyria 3 Clip Preview

Llama 4 Scout Quirks & Gotchas

  • โ–ธ10M context causes significant VRAM pressure โ€” recommend 4-bit quantization
  • โ–ธPrimarily designed for RAG, not agentic tool calling

Lyria 3 Clip Preview Quirks & Gotchas

No developer gotchas reported.