ModelBench
Meta logo
Models/Meta

Meta: Llama 4 Scout 17B Instruct

Open Llama with long-context vision for efficient multimodal agents

Source-linked llama Open weights Released 2025-04-05
API record Report
InputT
OutputT
Input price$0.17/M
Output price$0.66/M
Context3.5M
Max output16.384K
Providers2
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering Llama 4 Scout 17B Instruct
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
Amazon Bedrock meta.llama4-scout-17b-instruct-v1:0 3.5M 16.384K $0.17 $0.66 — Tools Docs ↗
DevPass (LLM Gateway) llama-4-scout-17b-instruct 131.072K 2.048K $0.18 $0.59 — Not listed Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.17/M

Across 2 priced providers

Median input $0.175/M

Midpoint of listed rates

Highest input $0.18/M

1.1× the lowest listed rate

Output range $0.59 – $0.66

Per million output tokens

Amazon Bedrock $0.17/MLowest
DevPass (LLM Gateway) $0.18/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.

Context limits also differ by provider, from 131.072K to 3.5M tokens. Compare the provider table above before choosing on price alone.

Specification

Capabilities

Recorded from the source catalog and provider listings.

× Reasoning No
× Tool calling No
× Structured output No
✓ Attachments Yes
✓ Vision input Yes
✓ Open weights Yes
Creator
Meta
Model family
llama
Knowledge cutoff
2024-08
License
Not documented
Release date
2025-04-05
Model ID
meta/llama-4-scout-17b-instruct

Weights: Hugging Face ↗

Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
No published benchmark results

ModelBench does not infer quality from price, context size, or model name. When a source publishes a comparable result, it appears here with its version and link.

Read the methodology
Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
No changes recorded

This record has not changed within the retained import history.

Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/meta/llama-4-scout-17b-instruct
curl
curl "https://model.kyssta.lol/api/v1/models/meta/llama-4-scout-17b-instruct"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is Llama 4 Scout 17B Instruct?

Open Llama with long-context vision for efficient multimodal agents. It is published by Meta and catalogued here from Models.dev.

How much does Llama 4 Scout 17B Instruct cost?

Listed input pricing starts at $0.17 per million tokens from Amazon Bedrock, rising to $0.18 across 2 listed providers.

What is the context length of Llama 4 Scout 17B Instruct?

Llama 4 Scout 17B Instruct accepts up to 3.5M tokens of context and returns up to 16.384K output tokens.

Does Llama 4 Scout 17B Instruct support tool calling and structured output?

Provider catalogs list support for image input.

Which providers serve Llama 4 Scout 17B Instruct?

2 providers list this model: Amazon Bedrock, DevPass (LLM Gateway).

Are the weights for Llama 4 Scout 17B Instruct open?

Yes. The weights are published and downloadable from Hugging Face.

When was Llama 4 Scout 17B Instruct released?

The catalog records a release date of 2025-04-05, last verified Sep 11, 2026.

More models from Meta

View all →
Llama-3.1-70B-Instruct

Open Llama instruction model for multilingual chat, reasoning, and coding

128K ctx $0.4/M in Llama-3.1-8B-Instruct

Compact open Llama model for lightweight chat, drafting, and self-hosting

128K ctx $0.02/M in Meta: Muse Spark 1.3 Contributor

Muse Spark 1.3 Contributor is the cost-efficient contributor tier of Meta’s multimodal reasoning model for experimentation, learning, and early-stage agentic, multi-agent, and coding workflows. It is designed to track information...

1.04858M ctx $0.1/M in Muse Spark 1.2

Muse Spark 1.2 is a coding-focused update to Muse Spark 1.1 with improvements in code generation, complex debugging, codebase understanding, and end-to-end developer workflows.

1.04858M ctx $1.25/M in