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Last scan 2026-09-22 Models tracked 267 Providers 35 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Llama 4 Scout

by Meta · 17B (16 experts) parameters

Current open weights open weights cheap tier

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

Source: official Meta pricing · read MODELPRICEWATCH.COM · 2026-09-22

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.

Llama 4 Scout is available on 2 hosts. See the full cheapest-first comparison on the consolidated Llama 4 Scout page →

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 supported
Input 2/4
Text Image Audio Video
Output
Text
Features 3/9
Prompt caching Reasoning Coding Fast inference Long context Open weights Multimodal Web search Realtime

Benchmark performance

accuracy % · higher is better
Avg benchmark score46.8%
Perf per $/Mtok279.4
GPQA Diamond
57.2%
SWE-Bench Verified
28%
LiveCodeBench
32.8%
Humanity's Last Exam
12%
ARC-AGI 2
15%
AIME 2025
45%
MMMLU
75%
BFCL
58%
HumanEval
80%
MATH 500
65%
Independent composite scores
  • AA Intelligence Index: 6.5 (Artificial Analysis composite across reasoning, knowledge and coding evals)
  • AA-Omniscience Index: -52.1 (−100–100)
How it stacks up
  • 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
multimodalopen-weightsmoe

Availability verified: listed on Meta's own page