DeepSeek R1 vs Stable Audio 3 Medium

At a Glance

Compare
DeepSeek R1DeepSeek
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.70Openrouter · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$2.50Openrouter · Aug 28, 2026Not reported
Context windowMaximum documented tokens164KNot 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

FieldDeepSeek-R1stable-audio-3-medium
DeveloperDeepSeekStability AI
FamilyDeepseek R1Stable Audio 3 Medium
ModelDeepSeek-R1stable-audio-3-medium
VersionDeepSeek-R1stable-audio-3-medium
Lifecycleactiveactive
Released2025-01-202026-05-20
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextAudio
Context window164KUnknown
Total parameters684.5B2.3B
Active parameters37BUnknown
Licensemitother
Open weightsYesYes
API availableYesYes
Self-hostableYesYes
Provider accessHugging Face (Standard), Openrouter (Standard)Hugging Face (Standard)
Capabilitieschat, generation, reasoninggeneration

DeepSeek R1 Capabilities

chatgenerationreasoning
Serving providers2
Canonical IDdeepseek-ai/DeepSeek-R1

Stable Audio 3 Medium Capabilities

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

Primary Evidence

Sources and Freshness

Questions

DeepSeek R1 vs Stable Audio 3 Medium FAQs

Is DeepSeek R1 or Stable Audio 3 Medium better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 and Stable Audio 3 Medium, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, DeepSeek R1 or Stable Audio 3 Medium?+

Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.

Which has a larger context window, DeepSeek R1 or Stable Audio 3 Medium?+

Neither model has a larger sourced context window in this comparison. DeepSeek R1 is 164K and Stable Audio 3 Medium is —.

Which performs better in benchmarks, DeepSeek R1 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 DeepSeek R1 or Stable Audio 3 Medium be self-hosted?+

Both models have the same recorded self-hosting status: supported. DeepSeek R1 is open weight; Stable Audio 3 Medium is open weight.

Can DeepSeek R1 and Stable Audio 3 Medium understand images?+

DeepSeek R1 is not 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, DeepSeek R1 or Stable Audio 3 Medium?+

Neither has a larger sourced maximum output. DeepSeek R1 is 33K and Stable Audio 3 Medium is —.

Do DeepSeek R1 and Stable Audio 3 Medium support reasoning and tool use?+

DeepSeek R1: reasoning. 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, DeepSeek R1 or Stable Audio 3 Medium?+

DeepSeek R1 has 2 sourced provider routes; Stable Audio 3 Medium has 1, so DeepSeek R1 has broader tracked availability.

Which offers better value, DeepSeek R1 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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