Muse Spark (Meta) vs Llama 4 (Meta)

Which one should you pick? Here's the full breakdown.

Our Pick

Muse Spark (Meta)

A
8.8/10

Meta's first model from its Superintelligence Lab -- natively multimodal with Contemplating mode for multi-agent reasoning

Llama 4 (Meta)

B
7.9/10

Meta's open-weights flagship family -- Scout (10M context), Maverick (multimodal 400B MoE), Behemoth in preview

CategoryMuse Spark (Meta)Llama 4 (Meta)
Ease of Use9.05.0
Output Quality8.08.5
Value10.09.0
Features8.09.0
Overall8.87.9

Pricing Comparison

FeatureMuse Spark (Meta)Llama 4 (Meta)
Free TierYesYes
Starting Price$0$0

Benchmark Head-to-Head

Muse Spark vs Llama 4 Maverick (17B/400B MoE)

BenchmarkMuse Spark (Meta)Llama 4 (Meta)
GPQA Diamond86%69.8%
HumanEval91%88%

Which Should You Pick?

Pick Muse Spark (Meta) if...

  • Easier to use (9 vs 5)
  • Better value for money (10/10)
  • Stronger on graduate-level science questions (+16.2% on GPQA Diamond)

Anyone who wants frontier-level AI for free. If you use Meta's apps (Facebook, Instagram, WhatsApp) already, Muse Spark is the most accessible high-quality LLM with zero cost.

Visit Muse Spark (Meta)

Pick Llama 4 (Meta) if...

  • More features (9 vs 8)

Developers and teams who need a permissively-licensed open-weights model with strong tooling, long context (Scout), or multimodal (Maverick). Safe default choice given the ecosystem.

Visit Llama 4 (Meta)

Our Verdict

Muse Spark (Meta) edges out Llama 4 (Meta) with a 8.8 vs 7.9 overall score. Both are solid picks, but Muse Spark (Meta) has the advantage in value.