Side by side

See the difference.

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

Comparison of google/gemma-4-E2B-it
1 modelgooglegoogle/gemma-4-E2B-itRemove ×
What’s different140 languages · Encoder: Conformer · Decoder: Transformer
DateOct 17, 2026Discovered
Listed rateSee provider quotes
Provider endpoints0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversioned24.77% WER ↗google/gemma-4-E2B-itLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned17.58% WER ↗google/gemma-4-E2B-itLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned14.03% WER ↗google/gemma-4-E2B-itLeaderboard entry
LS Clean WER ↗English short-form; normalization unversioned5.53% WER ↗google/gemma-4-E2B-itLeaderboard entry
LS Other WER ↗English short-form; normalization unversioned10.77% WER ↗google/gemma-4-E2B-itLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversioned6.73% WER ↗google/gemma-4-E2B-itLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversioned8.1% WER ↗google/gemma-4-E2B-itLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned5.66% WER ↗google/gemma-4-E2B-itLeaderboard entry
Context window—
Max output—
Parameters—
Audio inputSupported
TranscriptionSupported

Add another model

Search all models →