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Llama 4 Maverick vs Muse Spark 1.1

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 Maverick and Muse Spark 1.1.

Meta

Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

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Meta

Muse Spark 1.1

Muse Spark 1.1 is a multimodal reasoning model from Meta, built for agentic tasks. It accepts text, images, video, audio, and PDF documents and returns text, with a 1M-token context...

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Technical Specifications

SpecificationLlama 4 MaverickMuse Spark 1.1
ProviderMetaMeta
Context Window1,048,576 tokens1,048,576 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitybetabeta
API AvailableYesYes
Released Date2025-04-052026-07-16

API Pricing Comparison

Input Price per Million Tokens

Llama 4 Maverick

$0.20

Muse Spark 1.1

$1.25

Output Price per Million Tokens

Llama 4 Maverick

$0.80

Muse Spark 1.1

$4.25

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.

Llama 4 Maverick Quirks & Gotchas

No developer gotchas reported.

Muse Spark 1.1 Quirks & Gotchas

No developer gotchas reported.