Today's price · per 1M tokens
Input
$0.110
per 1M tokens
Output
$0.340
per 1M tokens
Blended
$0.168
blended $/1M — 3:1 weighted input:output
Price receipt
No confirmed receipt. We hold dated captures of Meta's pricing page, but none of them tied Llama 4 Scout to the price above on that page, so we do not claim this number is sourced. Check the provider's page directly before relying on it.
Overview
Meta's open-weight Llama 4 Scout — a natively multimodal MoE (17B active / 109B total, 16 experts) with an industry-leading 10M-token context, the longest of any open-weight model. Handles text, images, and video; fits on a single H100 with Int4. $0.11/$0.34 per 1M tokens.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
Partner links — we may earn a commission if you sign up, at no cost to you. We only list platforms we'd recommend regardless.
Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is better- AA Intelligence Index: 6.5 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: -52.1 (−100–100)
- Ranks #67 of 84 benchmarked models by average score
- Ranks #147 of 181 comparably-measured models by percentile score, across 12 independent measurements
- Ranks #23 of 181 comparably-tested models by normalized performance per dollar
- Strongest at HumanEval — 80%, #25 of 49
2600 tokens/sec output 0.33s latency to first token (TTFT)
Source: Vellum LLM Leaderboard · updated · See full rankings →
Specifications
- Provider
- Meta
- Context window
- 10M tokens
- Modality
- text, image
- Parameters
- 17B (16 experts)
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Meta's own page