
FireRedAudio
One 9B open audio LLM that listens, understands, speaks, and edits.
About
FireRedAudio is a 9-billion-parameter general-purpose audio language model from the FireRedTeam (Xiaohongshu), released in August 2026 with code and weights under Apache 2.0. It unifies speech recognition, audio understanding, zero-shot text-to-speech, instruct TTS, and speech editing in a single trainable autoregressive LLM instead of a cascade pipeline.
Its signature design is decoupled continuous representations: an Audio Encoder handles input for understanding, while a RedAE-based pathway handles generation. A single model covers ASR, hour-long audio understanding, zero-shot and instruct TTS, and semantic plus acoustic speech editing, with temporal grounding reported at second-level accuracy.
The release also includes FireRedTTS3, a speech synthesis and editing framework with Base and Instruct variants. Coverage is strongest in Chinese and English, and the project page cautions the research-purpose framing common to such releases, so production voice-cloning users should review consent obligations.
Specs
Context window
Pricing
Free quota
API access
Weights
Released
Benchmarks
Provider-reported unless a source says otherwise. Benchmarks are marketing-adjacent by nature — treat them as directional.
Use cases
Trust score — 8/10
Scored 8/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 104; Trending score 78/100 from researcher assessment.