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
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.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is better- AA Intelligence Index: 10.3 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA Agentic Index: 1.1 (Tool use, planning, autonomy)
- AA-Omniscience Index: -52.1 (−100–100)
- Ranks #57 of 67 benchmarked models by average score
- Ranks #115 of 150 comparably-measured models by percentile score, across 13 independent measurements
- Ranks #16 of 150 comparably-tested models by normalized performance per dollar
- Strongest at HumanEval — 80%, #23 of 45
2600 tokens/sec output 0.33s latency to first token (TTFT)
Source: Vellum LLM Leaderboard · updated Aug 9, 2026 · See full rankings →
Specifications
- Provider
- Meta
- Context window
- 10M tokens
- Modality
- text, image
- Parameters
- 17B (16 experts)
- Open source
- Yes — open weights available
- Released
- Apr 6, 2025
- Status
- Current
- Last updated
- Jun 25, 2026
- Tags
Availability verified: Jul 25, 2026 — listed on Meta's own page