Audio-text-to-text AI Models

Models listed

103

Published in this category

Worth weighing up

What goes in and out, licence terms, and whether you can host it yourself

How we treat data

Published specs only — we don't estimate numbers a vendor hasn't stated

Audio-text-to-text models are a source-backed task collection in this directory. The current editorial inventory contains 68 mapped model records. Task membership is a discovery signal, not a performance ranking, deployment recommendation, or proof that every checkpoint accepts the same inputs and returns the same outputs.

Start with the model list, then open each record that matches your data, operating constraints, and intended workflow. Check the primary source, documented modalities, license, release information, and implementation notes before using a model in production.

This collection keeps unsupported pricing, availability, and benchmark claims blank. Each page remains outside the public index until an editor approves its content and related model records.

Audio-text-to-text model list

Scan the table below, then open any model for pricing, limits and the full write-up.

103 models
Gemini 3.8 Flash
Google
89.31.05M$0.75$3.75—
Muse Spark 1.3
Meta
—1.05M$1.25$4.25—
Gemini 4 Argon
Google
—1.05M$2.00$10.00—
Muse Wonder
Meta
—1.05M$4.00$20.00—
MiMo V2.6 Flash RL
Xiaomi
66.91.05M$0.14$0.28—
MiMo V2.6 Pro RL
Xiaomi
66.91.05M$0.435$0.87—
Qwen-Audio-3.1-Realtime-Plus
Alibaba
—262.14K———
Qwen3.8 Omni Flash
Qwen
51.71M———
Gemini 3.7 Flash
Google
89.21.05M$0.75$3.75—
Gemini Flash Latest
Google
89.01.05M$1.50$9.00—
Muse Spark 1.2
Meta
—1.05M$1.25$4.25—
Inkling Small
Thinkingmachines
76.81.05M$0.50$1.20—
Gemini 3.5 Flash Lite
Google
89.41.05M$0.30$2.50—
Gemini 3.6 Flash
Google
89.41.05M$1.50$7.50—
Gemini Flash-Lite Latest
Google
89.01.05M$0.25$1.50—
Inkling
Thinkingmachines
76.81.05M$1.00$4.05—
Muse Spark 1.1
Meta
82.01.05M$1.25$4.25—
Gemini 3.5 Flash
Google
89.01.05M$1.50$9.00—
Gemini 3.1 Flash Lite
Google
89.01.05M$0.25$1.50—
Nemotron 3 Nano Omni 30B A3B Reasoning
NVIDIA
72.1256K$0.00$0.00—
MiMo-V2.5
Xiaomi
80.41.05M$0.14$0.28—
Qwen3.6 27B
Alibaba
77.2262.14K$0.60$3.60—
Qwen3.6 35B-A3B
Alibaba
77.2262.14K$0.248$1.485—
Gemini Robotics-ER 1.6 Preview
Google
73.8131.07K$1.00$5.00—
Gemma 4 E2B IT
Google
64.2131.07K$0.02$0.10—
Gemma 4 E4B IT
Google
64.2131.07K$0.04$0.20—
MiMo-V2-Omni
Xiaomi
78.5262.14K$0.14$0.28—
Nemotron VoiceChat
NVIDIA
39.0128K$0.00$0.00—
Gemini 3.1 Flash Lite Preview
Google
88.61.05M$0.25$1.50—
Qwen3.5 122B-A10B
Alibaba
76.9262.14K$0.40$3.20—
Qwen3.5 27B
Alibaba
76.9262.14K$0.30$2.40—
Qwen3.5 35B-A3B
Alibaba
76.9262.14K$0.25$2.00—
Gemini 3.1 Pro Preview
Google
88.51.05M$2.00$12.00—
Gemini 3.1 Pro Preview Custom Tools
Google
88.51.05M$2.00$12.00—
Qwen3.5 397B-A17B
Alibaba
76.8262.14K$0.60$3.60—
X-Ai/Grok-4-Fast-Reasoning
xAI
—2M———
Gemini 3 Flash Preview
Google
88.21.05M$0.50$3.00—
Gemini 3 Pro Preview
Google
88.01.05M$2.00$12.00—
mistralai/Voxtral-Small-24B-2507
mistralai
32.632.77K$0.228$0.513—
Voxtral Mini 3B 2507
Mistral AI
—32.77K———
Voxtral Small (latest)
Mistral AI
—32K———
Gemini 2.5 Flash
Google
87.21.05M$0.30$2.50—
Gemini 2.5 Flash-Lite
Google
87.21.05M$0.10$0.40—
Gemini 2.5 Pro
Google
87.21.05M$1.25$10.00—
Gemini 2.5 Pro Preview 06-05
Google
—1.05M———
Gemini 2.0 Flash
Google
66.61.05M$0.10$0.40—
Gemini 2.0 Flash-Lite
Google
66.61.05M$0.075$0.30—
Vision Large
Vispark
—1M———
Vision Medium
Vispark
—1M———
Vision Small
Vispark
—1M———
Gemini 1.5 Pro
Google
63.62M$1.25$5.0065 t/s
ACE-Step/acestep-transcriber
ACE-Step
5.0————
ai-babai/gigachat-audio-mlx-q8-bf16
ai-babai
5.0————
bartowski/mistralai_Voxtral-Mini-3B-2507-GGUF
bartowski
5.0————
bartowski/mistralai_Voxtral-Small-24B-2507-GGUF
bartowski
5.0————
cstr/MOSS-Audio-4B-Instruct-GGUF
cstr
5.0————
DeSTA-ntu/DeSTA2.5-Audio-Llama-3.1-8B
DeSTA-ntu
5.0————
fixie-ai/ultravox-v0_2
fixie-ai
5.0————
fixie-ai/ultravox-v0_3
fixie-ai
5.0————
fixie-ai/ultravox-v0_4
fixie-ai
5.0————

1–60 of 103 models · select a column to sort

About this order: Recommended shows our editorial shortlist first, followed by recent releases. The spec score is a 0–100 figure SyncDev calculates from each vendor's published specifications — context window, reasoning support, input modalities, tool calling, maximum output and how recently the model shipped. It measures breadth of capability, not benchmark performance, so a higher-scoring model is not automatically the better choice for your task.

Audio-text-to-text model questions

It groups source-backed directory records for research and comparison. Review each model page and its primary documentation because collection membership alone does not prove quality, availability, or suitability.