Side by side

See the difference.

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

Scroll to compare models →

Comparison of Cohere Transcribe, Cohere: Command A+, bosonai/higgs-audio-v3-stt
3 modelsfal-aiCohere TranscribeRemove ×cohereCohere: Command A+Remove ×bosonaibosonai/higgs-audio-v3-sttRemove ×
What’s differentCohere Transcribe turns your business audio into accurate text, ready for search, analytics, and automationCommand A+ is Cohere's flagship model for enterprise agentic workflows. It accepts text and image inputs with a 192K context window, supports native tool calling with strict tool schemas, structured...2.68B parameters · 1 language · Encoder: Whisper · Decoder: Qwen3
DateApr 22, 2026ListedSep 22, 2026ListedOct 17, 2026Discovered
Listed rate$0.0000694444/ secondfal · all routes ↗$0.30 in / $1.50 out/ 1M tokensCohere · via OpenRouter · all routes ↗cohereSee provider quotes
Provider endpoints1 endpoint →2 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported7.19% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported7.04% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported7.45% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported1.08% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported2.61% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported2.07% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported11.88% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported3.97% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported3.73% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Context window—192K—
Max output—64K—
Parameters——2.68B
Tool callingNot reportedSupportedNot reported
Structured outputNot reportedSupportedNot reported
Image inputNot reportedSupportedNot reported
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported
ReasoningNot reportedSupportedNot reported
Prompt cachingNot reportedSupportedNot reported

Add another model

Search all models →