Llama-4-Scout-17B-16E-Instruct

Together AI · Chat model

Llama-4-Scout-17B-16E-Instruct is listed here as a chat model from Together AI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Provider and model identifiers are kept in their original form for accuracy.

together_ai-together_ai-meta-llama-llama-4-scout-17b-16e-instruct

Input

$0.1800 / 1M tokens

Output

$0.5900 / 1M tokens

Cached input

N/A

Context window

N/A

Catalog generated: Jul 13, 2026

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Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item	Price
Input	$0.1800 / 1M tokens
Output	$0.5900 / 1M tokens
Embedding	$0.1800 / 1M tokens

Limits

No matching data

Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability	Supported
Vision	-
Function calling	Supported
Parallel function calling	Supported
Tool choice	Supported
Prompt caching	-
Reasoning	-
Response schema	Supported
System messages	-
Audio input	-
Audio output	-
Web search	-
PDF input	-
Video input	-

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark	Score	Metric	Scope	Checked	Source
MMMU	73.4	accuracy	Base model: Llama 4 (Llama 4 Maverick)	2026-05-31	Link
ChartQA	90.0	relaxed_accuracy	Base model: Llama 4 (Llama 4 Maverick)	2026-05-31	Link
DocVQA	94.4	anls	Base model: Llama 4 (Llama 4 Maverick)	2026-05-31	Link
MMLU-Pro	80.5	macro_avg/acc	Base model: Llama 4 (Llama 4 Maverick)	2026-05-31	Link
GPQA Diamond	69.8	accuracy	Base model: Llama 4 (Llama 4 Maverick)	2026-05-31	Link
Artificial Analysis Intelligence Index	18.4	score	Base model: llama-4 (meta-llama/llama-4-maverick)	2026-05-31	Link
Artificial Analysis Coding Index	15.6	score	Base model: llama-4 (meta-llama/llama-4-maverick)	2026-05-31	Link
Artificial Analysis Agentic Index	7.2	score	Base model: llama-4 (meta-llama/llama-4-maverick)	2026-05-31	Link

Sources

Source links	LiteLLM repository LiteLLM model cost map
Pricing data	LiteLLM model cost map
Synced at	2026-05-28
Catalog generated	2026-07-13T14:21:55.110Z