ModelPriceWatch.com
Last scan 2026-08-28 Models tracked 237 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

Llama 4 Scout

by DeepInfra · 17B (16 experts) parameters

Current open weights open weights cheap tier

Today's price · per 1M tokens

Input

$0.100

per 1M tokens

Output

$0.300

per 1M tokens

Blended

$0.150

blended $/1M — 3:1 weighted input:output

Source: official DeepInfra pricing · read Jul 10, 2026 MODELPRICEWATCH.COM · 2026-08-28

Price receipt

We read DeepInfra's own pricing page on Aug 9, 2026 and found Llama-4-Scout-17B-16E listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 0d41ee5694.

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

Overview

Meta Llama 4 Scout served on DeepInfra at $0.10/$0.30 per 1M tokens, undercutting other tracked hosts. Natively multimodal MoE (17B active, 16 experts) with a 10M-token context.

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.

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 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 $/Mtok312
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 #65 of 73 benchmarked models by average score
  • Ranks #140 of 170 comparably-measured models by percentile score, across 13 independent measurements
  • Ranks #19 of 170 comparably-tested models by normalized performance per dollar
  • Strongest at HumanEval — 80%, #28 of 49

2600 tokens/sec output

Source: Vellum LLM Leaderboard (Jun 2026), Meta model card · updated Jul 18, 2026 · See full rankings →

Specifications

Provider
DeepInfra
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
Jul 10, 2026
Tags
open-weightsmultimodalcheap

Availability verified: Aug 9, 2026 — listed on DeepInfra's own page