What are Fishaudio & Alternative AI Models?
Fishaudio and alternative AI models represent the cutting edge of text-to-speech (TTS) and conversational AI technology. These models use advanced neural architectures like DualAR transformers and reinforcement learning to convert text into natural speech or provide intelligent reasoning capabilities. From multilingual speech synthesis that supports over 300,000 hours of training data to streaming models with ultra-low latency, these tools democratize access to professional-grade voice generation and AI reasoning, enabling applications from content creation to interactive voice systems and advanced problem-solving workflows.
fishaudio/fish-speech-1.5
Fish Speech V1.5 is a leading open-source text-to-speech (TTS) model employing an innovative DualAR architecture with dual autoregressive transformer design. It supports multiple languages with over 300,000 hours of training data for English and Chinese, plus 100,000+ hours for Japanese. With an impressive ELO score of 1339 in TTS Arena evaluations, it achieves 3.5% WER and 1.2% CER for English, and 1.3% CER for Chinese characters.
fishaudio/fish-speech-1.5: Leading Open-Source TTS Excellence
Fish Speech V1.5 is a leading open-source text-to-speech (TTS) model that employs an innovative DualAR architecture, featuring a dual autoregressive transformer design. It supports multiple languages, with over 300,000 hours of training data for both English and Chinese, and over 100,000 hours for Japanese. In independent evaluations by TTS Arena, the model performed exceptionally well, with an ELO score of 1339. The model achieved a word error rate (WER) of 3.5% and a character error rate (CER) of 1.2% for English, and a CER of 1.3% for Chinese characters.
Pros
- Innovative DualAR architecture with dual autoregressive transformers.
- Extensive multilingual support with 300,000+ hours training data.
- Exceptional TTS Arena performance with 1339 ELO score.
Cons
- Pricing at $15/M UTF-8 bytes from SiliconFlow may be higher for large-scale use.
- Limited to text-to-speech functionality only.
Why We Love It
- It delivers professional-grade multilingual TTS with innovative architecture and proven performance, making it perfect for high-quality voice synthesis applications.
FunAudioLLM/CosyVoice2-0.5B
CosyVoice 2 is a streaming speech synthesis model based on large language model architecture, featuring unified streaming/non-streaming framework design. It achieves ultra-low latency of 150ms in streaming mode while maintaining synthesis quality. Compared to v1.0, pronunciation error rate reduced by 30%-50%, MOS score improved from 5.4 to 5.53, with fine-grained emotion and dialect control support.
FunAudioLLM/CosyVoice2-0.5B: Ultra-Low Latency Streaming TTS
CosyVoice 2 is a streaming speech synthesis model based on a large language model, employing a unified streaming/non-streaming framework design. The model enhances the utilization of the speech token codebook through finite scalar quantization (FSQ), simplifies the text-to-speech language model architecture, and develops a chunk-aware causal streaming matching model. In streaming mode, it achieves ultra-low latency of 150ms while maintaining synthesis quality almost identical to non-streaming mode. Compared to version 1.0, the pronunciation error rate has been reduced by 30%-50%, the MOS score has improved from 5.4 to 5.53, and supports fine-grained control over emotions and dialects. The model supports Chinese (including dialects: Cantonese, Sichuan, Shanghainese, Tianjin), English, Japanese, Korean, and cross-lingual scenarios.
Pros
- Ultra-low latency of 150ms in streaming mode.
- 30%-50% reduction in pronunciation error rate vs v1.0.
- Improved MOS score from 5.4 to 5.53.
Cons
- Smaller 0.5B parameter size compared to larger models.
- Streaming quality, while excellent, may vary with network conditions.
Why We Love It
- It revolutionizes real-time speech synthesis with 150ms latency while delivering significant quality improvements and comprehensive multilingual dialect support.
deepseek-ai/DeepSeek-R1
DeepSeek-R1-0528 is a reasoning model powered by reinforcement learning (RL) that addresses repetition and readability issues. With cold-start data optimization and careful training methods, it achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. Featuring 671B parameters with MoE architecture and 164K context length, it represents breakthrough reasoning capabilities.
deepseek-ai/DeepSeek-R1: Advanced Reasoning Powerhouse
DeepSeek-R1-0528 is a reasoning model powered by reinforcement learning (RL) that addresses the issues of repetition and readability. Prior to RL, DeepSeek-R1 incorporated cold-start data to further optimize its reasoning performance. It achieves performance comparable to OpenAI-o1 across math, code, and reasoning tasks. Through carefully designed training methods, it has enhanced overall effectiveness. With 671B parameters using MoE architecture and 164K context length, it represents a significant advancement in AI reasoning capabilities.
Pros
- Performance comparable to OpenAI-o1 in reasoning tasks.
- Massive 671B parameters with efficient MoE architecture.
- Extended 164K context length for complex reasoning.
Cons
- High computational requirements due to large parameter count.
- Primarily focused on reasoning rather than creative tasks.
Why We Love It
- It delivers OpenAI-o1 level reasoning performance with massive scale and advanced RL training, perfect for complex problem-solving and analytical tasks.
AI Model Comparison
In this table, we compare 2025's leading fishaudio and alternative AI models, each with unique strengths. For professional TTS, fishaudio/fish-speech-1.5 provides exceptional multilingual quality. For real-time applications, FunAudioLLM/CosyVoice2-0.5B offers ultra-low latency streaming. For advanced reasoning, deepseek-ai/DeepSeek-R1 delivers breakthrough problem-solving capabilities. This comparison helps you choose the right model for your specific voice synthesis or AI reasoning needs.
| Number | Model | Developer | Model Type | SiliconFlow Pricing | Core Strength |
|---|---|---|---|---|---|
| 1 | fishaudio/fish-speech-1.5 | fishaudio | Text-to-Speech | $15/M UTF-8 bytes | Leading TTS with DualAR architecture |
| 2 | FunAudioLLM/CosyVoice2-0.5B | FunAudioLLM | Text-to-Speech | $7.15/M UTF-8 bytes | Ultra-low 150ms streaming latency |
| 3 | deepseek-ai/DeepSeek-R1 | deepseek-ai | Chat/Reasoning | $0.5/$2.18 per M tokens | OpenAI-o1 level reasoning (671B params) |
Frequently Asked Questions
Our top three picks for 2025 are fishaudio/fish-speech-1.5, FunAudioLLM/CosyVoice2-0.5B, and deepseek-ai/DeepSeek-R1. These models stood out for their innovation in text-to-speech synthesis and reasoning capabilities, each offering unique approaches to solving challenges in voice generation and AI reasoning.
For professional multilingual TTS with highest quality, fishaudio/fish-speech-1.5 excels with its DualAR architecture and extensive training data. For real-time streaming applications requiring ultra-low latency, FunAudioLLM/CosyVoice2-0.5B is optimal with 150ms latency. For complex reasoning and problem-solving tasks, deepseek-ai/DeepSeek-R1 provides OpenAI-o1 level performance with 671B parameters.