WaveSpeedAI vs Together AI: Which AI Inference Platform Is Best for Your Application?
WaveSpeedAI vs Together AI: Which AI Inference Platform Is Best for Your Application?
In today’s competitive AI landscape, choosing the right inference platform is critical. Two platforms have emerged as strong contenders: Together AI and WaveSpeedAI.
Together AI has built its reputation on blazing-fast LLM inference, claiming 4x performance improvements over vLLM with a focus on open-source language models.
WaveSpeedAI takes a different approach. Rather than optimizing solely for LLM speed, WaveSpeedAI offers something Together AI cannot: a comprehensive platform covering all AI modalities—text, image, video, and audio. With exclusive partnerships bringing Seedream, Kling, and WAN models to your fingertips, WaveSpeedAI delivers both speed and unmatched model diversity.
Platform Overview: Side-by-Side Comparison
| Feature | WaveSpeedAI | Together AI |
|---|---|---|
| Primary Focus | Multimodal inference (text, image, video, audio) | LLM inference optimization |
| Model Selection | 600+ models across all modalities | 200+ open-source LLMs |
| Exclusive Models | Seedream, Kling, WAN (ByteDance/Alibaba) | None |
| Video Generation | Industry-leading (Kling, WAN) | Not available |
| Image Generation | Full suite (Flux, SDXL, Qwen) | Not available |
| Audio Models | Complete audio processing suite | Not available |
| LLM Performance | Fast & reliable | Heavily optimized (claims 4x vs vLLM) |
| API Style | REST API, comprehensive SDKs | REST API, Python SDK |
| Pricing Model | Pay-per-use | Pay-per-token with volume discounts |
Key Differentiators
1. Model Selection: Multimodal vs. LLM-Focused
Together AI’s Strength: LLM Excellence
- 200+ LLMs including Llama, Mistral, Qwen, Deepseek
- 4x faster LLM inference compared to vLLM
- Competitive LLM pricing with per-token transparency
WaveSpeedAI’s Unique Strength: True Multimodal Coverage
- Exclusive ByteDance Models: Seedream V3/V4, Seedance
- Exclusive Alibaba Models: WAN 2.5/2.6, Qwen series
- Complete Image Suite: Flux, SDXL, and 100+ others
- Video Generation: Kling cinematic videos, WAN flexibility
- Audio Models: Speech synthesis, voice cloning
- Text Models: Full LLM coverage matching Together AI
2. Performance: Optimization Philosophy
Together AI: Specialized optimization for LLM inference with claimed 4x speedups.
WaveSpeedAI: Industry-leading speed across all modalities with FP8 quantization and optimized inference pipelines.
3. Exclusive Model Access
Together AI offers no exclusive models—all are publicly available open-source.
WaveSpeedAI has exclusive partnerships:
- Seedream V3/V4 - ByteDance’s video generation
- Kling - Cinematic AI video
- WAN 2.5/2.6 - Alibaba’s advanced generation
Use Case Recommendations
Choose Together AI When You Need:
- Pure LLM Optimization: Application is primarily LLM-based
- Cost-Optimized Inference: High volume of text tokens
- Open-Source Model Ecosystem: Prefer open-source models
- Streaming LLM Responses: Real-time token streaming for chat
Choose WaveSpeedAI When You Need:
- Exclusive Model Access: Require Seedream, Kling, or WAN models
- Multimodal AI Applications: Need image, video, audio, and text
- Video Generation: AI video creation as a core feature
- Comprehensive Model Library: Access to 600+ production models
- Flexibility: Test different models without changing platforms
Frequently Asked Questions
Is Together AI faster than WaveSpeedAI for LLMs?
Together AI claims 4x faster LLM inference compared to vLLM. WaveSpeedAI delivers comparable performance for most models. The practical difference is often negligible.
What’s the best Together AI alternative for video generation?
WaveSpeedAI is the clear choice. Together AI has zero video models. WaveSpeedAI offers exclusive access to Kling, Seedream, and WAN.
Can I use Together AI for image and video generation?
No. Together AI focuses exclusively on language models.
Is WaveSpeedAI good for high-volume LLM inference?
Yes. WaveSpeedAI handles high-volume LLM workloads with industry-leading performance and reliability.
Which platform is more cost-effective?
For pure LLM workloads at massive scale, Together AI may have a cost advantage. For mixed workloads or video/image generation, WaveSpeedAI is more cost-effective.
Can I migrate from Together AI to WaveSpeedAI?
Yes, migration is straightforward. Both platforms offer standard REST APIs.
Conclusion
Together AI is excellent for teams building LLM-first applications who want maximum optimization for language models.
WaveSpeedAI is the superior platform for any application requiring multimodal AI capabilities. With exclusive access to Seedream, Kling, and WAN models, plus 600+ total models spanning text, image, video, and audio, WaveSpeedAI eliminates the need for multiple providers.
The real question: is your application exclusively LLMs? If yes, Together AI’s optimization is worth considering. If you need any multimodal capabilities, WaveSpeedAI is your platform.
Ready to build with the world’s most comprehensive AI platform? Try WaveSpeedAI now.
