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Last scan 2026-08-09 Models tracked 198 Providers 30 Cheapest paid Granite 4.0 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 Jun 25, 2026 MODELPRICEWATCH.COM · 2026-08-09
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.

Run it yourself

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.

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Capabilities

struck through = not supported
Input 2/5
Text ✓ Image ✓ Audio Video PDF
Output 1/5
Text ✓ Image Audio Video Embedding
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: 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)
How it stacks up
  • 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
multimodalopen-weightsmoe

Availability verified: Jul 25, 2026 — listed on Meta's own page