Lyria 3.5 vs Muse Spark 1.2

Benchmark Performance

Available Benchmarks

No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.
FieldAt a Glance
Google DeepMind · activeLyria 3.5Verified Sep 3, 2026
Meta · previewMuse Spark 1.2Verified Sep 3, 2026

Technical Differences

Side-by-Side Facts

Indexable
FieldLyria 3.5Muse Spark 1.2
DeveloperGoogle DeepMindMeta
FamilyLyriaMuse Spark
ModelLyria 3.5Muse Spark 1.2
VersionLyria 3.5Muse Spark 1.2
Lifecycleactivepreview
Released2026-07-292026-08-05
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video, Audio
Output modalitiesText, AudioText
Context window1,049KUnknown
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitiesgeneration, image-to-music, lyrics, music-generation, synthid, vocalschat, computer-use, generation, reasoning, research, structured_outputs, tools

12 comparable fields · 9 material differences · Pair passes the primary-source comparison gate

Lyria 3.5 Capabilities

generationimage-to-musiclyricsmusic-generationsynthidvocals
Input price
Output price
Serving providers2
Canonical IDlyria-3.5

Muse Spark 1.2 Capabilities

chatcomputer-usegenerationreasoningresearchstructured outputstools
Input price
Output price
Serving providers0
Canonical IDmeta-llama/muse-spark-1.2

Internal Comparison Graph

Related Comparisons

All audio comparisons →
APairBContext
vsdeveloper peerstext

Primary Evidence

Sources and Freshness

Questions

Lyria 3.5 vs Muse Spark 1.2 FAQs

Is Lyria 3.5 or Muse Spark 1.2 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Lyria 3.5 and Muse Spark 1.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Lyria 3.5 or Muse Spark 1.2?+

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, Lyria 3.5 or Muse Spark 1.2?+

Neither model has a larger sourced context window in this comparison. Lyria 3.5 is 1,049K and Muse Spark 1.2 is —.

Which performs better in benchmarks, Lyria 3.5 or Muse Spark 1.2?+

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

Can Lyria 3.5 or Muse Spark 1.2 be self-hosted?+

Both models have the same recorded self-hosting status: unsupported. Lyria 3.5 is not marked open weight; Muse Spark 1.2 is not marked open weight.

Can Lyria 3.5 and Muse Spark 1.2 understand images?+

Lyria 3.5 is documented with image input; Muse Spark 1.2 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Lyria 3.5 or Muse Spark 1.2?+

Neither has a larger sourced maximum output. Lyria 3.5 is 66K and Muse Spark 1.2 is —.

Do Lyria 3.5 and Muse Spark 1.2 support reasoning and tool use?+

Lyria 3.5: image input. Muse Spark 1.2: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Lyria 3.5 or Muse Spark 1.2?+

Lyria 3.5 has 2 sourced provider routes; Muse Spark 1.2 has 0, so Lyria 3.5 has broader tracked availability.

Which offers better value, Lyria 3.5 or Muse Spark 1.2?+

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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