Llama 4 Scout 17B 16E vs Stable Audio 3 Medium

At a Glance

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Pricing and Limits
Context windowMaximum documented tokens10,000KNot reported
Model facts checkedAug 28, 2026View model evidence →Aug 28, 2026View model evidence →

Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldLlama-4-Scout-17B-16Estable-audio-3-medium
DeveloperMetaStability AI
FamilyLlama 4 Scout 17b 16eStable Audio 3 Medium
ModelLlama-4-Scout-17B-16Estable-audio-3-medium
VersionLlama-4-Scout-17B-16Estable-audio-3-medium
Lifecycleactiveactive
Released2025-04-052026-05-20
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesTextAudio
Context window10,000KUnknown
Total parameters108.6B2.3B
Active parameters17BUnknown
Licenseotherother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessTogether Ai (Standard)Hugging Face (Standard)
Capabilitieschat, generation, toolsgeneration

Llama 4 Scout 17B 16E Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-4-Scout-17B-16E

Stable Audio 3 Medium Capabilities

generation
Serving providers1
Canonical IDstabilityai/stable-audio-3-medium

Primary Evidence

Sources and Freshness

Questions

Llama 4 Scout 17B 16E vs Stable Audio 3 Medium FAQs

Is Llama 4 Scout 17B 16E or Stable Audio 3 Medium better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E and Stable Audio 3 Medium, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Llama 4 Scout 17B 16E or Stable Audio 3 Medium?+

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Which has a larger context window, Llama 4 Scout 17B 16E or Stable Audio 3 Medium?+

Neither model has a larger sourced context window in this comparison. Llama 4 Scout 17B 16E is 10,000K and Stable Audio 3 Medium is —.

Which performs better in benchmarks, Llama 4 Scout 17B 16E or Stable Audio 3 Medium?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Llama 4 Scout 17B 16E or Stable Audio 3 Medium be self-hosted?+

Both models have the same recorded self-hosting status: supported. Llama 4 Scout 17B 16E is open weight; Stable Audio 3 Medium is open weight.

Can Llama 4 Scout 17B 16E and Stable Audio 3 Medium understand images?+

Llama 4 Scout 17B 16E is documented with image input; Stable Audio 3 Medium is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Llama 4 Scout 17B 16E or Stable Audio 3 Medium?+

Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E is — and Stable Audio 3 Medium is —.

Do Llama 4 Scout 17B 16E and Stable Audio 3 Medium support reasoning and tool use?+

Llama 4 Scout 17B 16E: tool calling and image input. Stable Audio 3 Medium: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Llama 4 Scout 17B 16E or Stable Audio 3 Medium?+

Llama 4 Scout 17B 16E has 1 sourced provider route; Stable Audio 3 Medium has 1, a tie.

Which offers better value, Llama 4 Scout 17B 16E or Stable Audio 3 Medium?+

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.

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