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Comparison of tts-1, Ideogram V4.5 Text to Image, abr-ai/niagara-19m-batch.en
3 modelsUnknowntts-1Remove ×ideogramIdeogram V4.5 Text to ImageRemove ×abr-aiabr-ai/niagara-19m-batch.enRemove ×
What’s differentGenerate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers.0.02B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateOct 16, 2026DiscoveredSep 30, 2026ReleasedOct 17, 2026Discovered
Listed rateSee provider quotesSee provider quotesSee provider quotes
Provider endpoints0 endpoints →1 endpoint →0 endpoints →
AA Image ↗2.1Not reported1,015.07 ↗Text-to-image · all categories · quality=highIndependent result95% CI 1,000.07–1,030.07 · n=2,888Not reported
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported16.17% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported16.1% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported12.72% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported4.74% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported11.02% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported3.67% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported25.4% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported13.15% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported5.73% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Context window———
Max output———
Parameters——0.02B
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported

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