Lyria 3.5 vs Codestral 22B v0.1

At a Glance

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Lyria 3.5Google DeepMind
Pricing and Limits
Context windowMaximum documented tokens1,049K33K
Model facts checkedSep 22, 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 →

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

FieldLyria 3.5Codestral-22B-v0.1
DeveloperGoogle DeepMindMistral AI
FamilyLyriaCodestral 22b V0 1
ModelLyria 3.5Codestral-22B-v0.1
VersionLyria 3.5Codestral-22B-v0.1
Lifecycleactiveactive
Released2026-07-29Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText
Output modalitiesText, AudioText
Context window1,049K33K
Total parametersUnknown22.2B
Active parametersUnknownUnknown
LicenseUnknownother
Open weightsNoYes
API availableYesUnknown
Self-hostableNoYes
Provider accessGoogle AI (Standard), Google Gemini (Standard)Unknown
Capabilitiesgeneration, image-to-music, lyrics, music-generation, synthid, vocalsgeneration

Lyria 3.5 Capabilities

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

Codestral 22B v0.1 Capabilities

generation
Serving providers0
Canonical IDmistralai/Codestral-22B-v0.1

Primary Evidence

Sources and Freshness

Questions

Lyria 3.5 vs Codestral 22B v0.1 FAQs

Is Lyria 3.5 or Codestral 22B v0.1 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Lyria 3.5 and Codestral 22B v0.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Lyria 3.5 or Codestral 22B v0.1?+

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 Codestral 22B v0.1?+

Lyria 3.5 has the larger sourced context window. Lyria 3.5 supports 1,049K and Codestral 22B v0.1 supports 33K.

Which performs better in benchmarks, Lyria 3.5 or Codestral 22B v0.1?+

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 Codestral 22B v0.1 be self-hosted?+

Codestral 22B v0.1 is the only model in this pair currently marked as self-hostable. Lyria 3.5 is not marked open weight; Codestral 22B v0.1 is open weight.

Can Lyria 3.5 and Codestral 22B v0.1 understand images?+

Lyria 3.5 is documented with image input; Codestral 22B v0.1 is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Lyria 3.5 or Codestral 22B v0.1?+

Neither has a larger sourced maximum output. Lyria 3.5 is 66K and Codestral 22B v0.1 is —.

Do Lyria 3.5 and Codestral 22B v0.1 support reasoning and tool use?+

Lyria 3.5: image input. Codestral 22B v0.1: none of these features are definitively sourced. Feature support does not establish relative quality.

Which is available from more inference providers, Lyria 3.5 or Codestral 22B v0.1?+

Lyria 3.5 has 2 sourced provider routes; Codestral 22B v0.1 has 0, so Lyria 3.5 has broader tracked availability.

Which offers better value, Lyria 3.5 or Codestral 22B v0.1?+

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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