Llama 4 Scout
By Meta · Visit provider →
Llama 4 Scout is Meta's open-source Mixture-of-Experts frontier model, offering strong reasoning and coding at a fraction of the cost of closed-source alternatives. Available via Groq with blazing fast inference.
Key Strengths
- Open-source frontier MoE model
- Excellent cost-performance ratio
- Fast inference via Groq LPUs
- Strong general reasoning capabilities
Best Use Cases
Pricing Details
| Metric | Value |
|---|---|
| Input (per 1M tokens) | $0.11 |
| Output (per 1M tokens) | $0.34 |
| Context window | 128K tokens |
| Provider | Meta |
| Architecture | 310B MoE (17B active parameters), 128K context, available on Groq's ultra-fast LPU infrastructure |
MoE frontier, via Groq
Benchmark Performance
Source: Artificial Analysis (independent benchmarking). Updated 2026-08-08.
Recent AI News
Instagram's New Wordmark Looks Like 'Instagzam' — 10 Years for This?
Ars Technica AI · Aug 13, 2026
Liquid AI's 3B model matches 4.7B rivals on vision benchmarks
MarkTechPost · Aug 13, 2026
Anthropic to watermark all Claude outputs, even simple grammar fixes
Ars Technica AI · Aug 13, 2026
AI researchers say self-improvement is here: 80% of Claude's code now written by Claude
The Decoder · Aug 13, 2026
Twitch admits opt-out AI training exists because 'nobody would opt in'
TechCrunch AI · Aug 12, 2026
Get smarter about AI
The sharpest AI news, curated daily. Delivered free to your inbox.
Pricing data is sourced from official API documentation and updated weekly. Actual costs may vary based on prompt caching, batch processing, service tiers, and regional pricing. Inblix is not affiliated with Meta.