Side by side

See the difference.

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

Scroll to compare models →

Comparison of google/gemma-4-E2B-it, abr-ai/niagara-38m-batch.en
2 modelsgooglegoogle/gemma-4-E2B-itRemove ×abr-aiabr-ai/niagara-38m-batch.enRemove ×
What’s different140 languages · Encoder: Conformer · Decoder: Transformer0.038B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateOct 17, 2026DiscoveredOct 17, 2026Discovered
Listed rateSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversioned24.77% WER ↗google/gemma-4-E2B-itLeaderboard entry13.87% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned17.58% WER ↗google/gemma-4-E2B-itLeaderboard entry12.94% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned14.03% WER ↗google/gemma-4-E2B-itLeaderboard entry11.38% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversioned5.53% WER ↗google/gemma-4-E2B-itLeaderboard entry3.81% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversioned10.77% WER ↗google/gemma-4-E2B-itLeaderboard entry9.28% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversioned6.73% WER ↗google/gemma-4-E2B-itLeaderboard entry3.08% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reported22.88% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversioned8.1% WER ↗google/gemma-4-E2B-itLeaderboard entry10.41% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned5.66% WER ↗google/gemma-4-E2B-itLeaderboard entry5.16% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Context window——
Max output——
Parameters—0.038B
Audio inputSupportedSupported
TranscriptionSupportedSupported

Add another model

Search all models →