Side by side

See the difference.

Scores, capabilities and costs for the models you’re considering.

Scroll to compare models →

Comparison of chatterbox-multilingual, Ideogram V4.5 Edit, abr-ai/niagara-84m-batch.en
3 modelsResembleAIchatterbox-multilingualRemove ×ideogramIdeogram V4.5 EditRemove ×abr-aiabr-ai/niagara-84m-batch.enRemove ×
What’s different09/04 🔥 Introducing Chatterbox Multilingual in 23 Languages! We're excited to introduce Chatterbox and Chatterbox Multilingual, Resemble AI's production-grade open source TTS models. Chatterbox…Mask-guided edits with a high-precision mode that restores unchanged pixels; combines a source image with extra references.0.084B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateJan 14, 2026ListedSep 30, 2026ListedOct 17, 2026Discovered
Listed rate$0.001/ 1K charactersDeepInfra · all routes ↗1,000 input charactersSee provider quotesSee provider quotes
Provider endpoints1 endpoint →0 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported12.01% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported10.83% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported10.41% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported3.09% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported7.6% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported2.61% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported20.16% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported8.82% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported4.33% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Context window———
Max output———
Parameters——0.084B
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported

Add another model

Search all models →