Olmo 3 32B Think vs Lyria 3.5

At a Glance

Compare
Lyria 3.5Google DeepMind
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.15Openrouter · Aug 28, 2026Not reported
Output priceFrom · USD / 1M tokens$0.50Openrouter · Aug 28, 2026Not reported
Context windowMaximum documented tokens66K1,049K
Model facts checkedAug 28, 2026View model evidence →Sep 22, 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 →

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

FieldOlmo-3-32B-ThinkLyria 3.5
DeveloperAi2Google DeepMind
FamilyOlmo 3 32b ThinkLyria
ModelOlmo-3-32B-ThinkLyria 3.5
VersionOlmo-3-32B-ThinkLyria 3.5
Lifecycleactiveactive
ReleasedUnknown2026-07-29
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image
Output modalitiesTextText, Audio
Context window66K1,049K
Total parameters32.2BUnknown
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessOpenrouter (Standard)Google AI (Standard), Google Gemini (Standard)
Capabilitieschat, generation, reasoninggeneration, image-to-music, lyrics, music-generation, synthid, vocals

Olmo 3 32B Think Capabilities

chatgenerationreasoning
Serving providers1
Canonical IDallenai/Olmo-3-32B-Think

Lyria 3.5 Capabilities

generationimage-to-musiclyricsmusic-generationsynthidvocals
Serving providers2
Canonical IDlyria-3.5

Primary Evidence

Sources and Freshness

Questions

Olmo 3 32B Think vs Lyria 3.5 FAQs

Is Olmo 3 32B Think or Lyria 3.5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Olmo 3 32B Think and Lyria 3.5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Olmo 3 32B Think or Lyria 3.5?+

Only Olmo 3 32B Think has a directly sourced input price: $0.15 per million tokens. Only Olmo 3 32B Think has a directly sourced output price: $0.50 per million tokens.

Which has a larger context window, Olmo 3 32B Think or Lyria 3.5?+

Lyria 3.5 has the larger sourced context window. Olmo 3 32B Think supports 66K and Lyria 3.5 supports 1,049K.

Which performs better in benchmarks, Olmo 3 32B Think or Lyria 3.5?+

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

Can Olmo 3 32B Think or Lyria 3.5 be self-hosted?+

Olmo 3 32B Think is the only model in this pair currently marked as self-hostable. Olmo 3 32B Think is open weight; Lyria 3.5 is not marked open weight.

Can Olmo 3 32B Think and Lyria 3.5 understand images?+

Olmo 3 32B Think is not documented with image input; Lyria 3.5 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Olmo 3 32B Think or Lyria 3.5?+

Lyria 3.5 has the larger sourced maximum output: Olmo 3 32B Think supports 33K and Lyria 3.5 supports 66K output tokens.

Do Olmo 3 32B Think and Lyria 3.5 support reasoning and tool use?+

Olmo 3 32B Think: reasoning. Lyria 3.5: image input. Feature support does not establish relative quality.

Which is available from more inference providers, Olmo 3 32B Think or Lyria 3.5?+

Olmo 3 32B Think has 1 sourced provider route; Lyria 3.5 has 2, so Lyria 3.5 has broader tracked availability.

Which offers better value, Olmo 3 32B Think or Lyria 3.5?+

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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