Side by side

See the difference.

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

Scroll to compare models →

Comparison of zoom/scribe_v2_pro, Ideogram V4.5 Text to Image, abr-ai/niagara-84m-batch.en
3 modelszoomzoom/scribe_v2_proRemove ×ideogramIdeogram V4.5 Text to ImageRemove ×abr-aiabr-ai/niagara-84m-batch.enRemove ×
What’s different11 languagesGenerate high-quality images, posters, and logos with Ideogram 4.5, with accurate text rendering and low, medium, or high quality tiers.0.084B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateOct 17, 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 unversioned6.08% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported12.01% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned4.12% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported10.83% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned7.75% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported10.41% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversioned1.11% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported3.09% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversioned2.24% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported7.6% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversioned1.36% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported2.61% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversioned7.99% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported20.16% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversioned3% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported8.82% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned3.08% WER ↗zoom/scribe_v2_proLeaderboard entryNot reported4.33% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Context window———
Max output———
Parameters——0.084B
Audio inputSupportedNot reportedSupported
TranscriptionSupportedNot reportedSupported

Add another model

Search all models →