Llama 4 (Meta) vs Perplexity Computer

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

Llama 4 (Meta)

7.9/10

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

Our Pick

Perplexity Computer

8.4/10

Perplexity's general-purpose digital worker -- operates real software like you do, runs for hours or months, routes sub-tasks to Opus, Gemini, GPT-5.2, Grok, and Veo 3.1

Category	Llama 4 (Meta)	Perplexity Computer
Ease of Use	5.0	8.5
Output Quality	8.5	9.0
Value	9.0	6.5
Features	9.0	9.5
Overall	7.9	8.4

Pricing Comparison

Feature	Llama 4 (Meta)	Perplexity Computer
Free Tier	Yes	No
Starting Price	$0	$20

Benchmark Head-to-Head

Llama 4 Maverick (17B/400B MoE) benchmarks — Perplexity Computer has no published benchmarks

Benchmark	Description	Score
MMLU-Pro	Harder multi-subject reasoning	80.5%
GPQA Diamond	Graduate-level science questions	69.8%
HumanEval	Python code generation	88%
MMMU (multimodal)		73.4%

Which Should You Pick?

Pick Llama 4 (Meta) if...

✓Better value for money (9/10)
✓Has a free tier

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)

Pick Perplexity Computer if...

✓Easier to use (8.5 vs 5)

Professionals and small teams who will burn $200/month worth of research, drafting, and multi-step workflow time -- consultants, researchers, analysts, founders. Especially strong if you want frontier models across text, video, and images in one agent without stitching APIs together. The right pick if infrastructure is a non-starter and quality ceiling matters more than cost.

Visit Perplexity Computer

Our Verdict

Perplexity Computer edges out Llama 4 (Meta) with a 8.4 vs 7.9 overall score. Both are solid picks, but Perplexity Computer has the advantage in output quality.