Inference Cloud
APIs that host open-source models for you, optimized for speed and cost.
| Rank | Model | Price | Summary |
|---|---|---|---|
|
1
|
API | The Latency King. Powered by LPU (Language Processing Unit) architecture rather than GPUs, it delivers 1200+ tokens/second. It is the mandatory backend for voice-to-voice agents where 500ms latency feels like an eternity. | |
|
2
|
API | The Throughput Beast. While Groq wins on speed, SambaNova wins on batch size. Its SN40L Reconfigurable Dataflow Unit allows it to serve massive 1T+ parameter models (like DeepSeek V4) at speeds GPUs cannot touch. | |
|
3
|
Usage Based | The Fine-Tuning Hub. It hosts the world's most diverse 'Serverless Endpoint' library. Its 'MoE Speculative Decoding' allows you to run custom fine-tunes of Llama 4 at 300 t/s without managing a single GPU. | |
|
4
|
API | The Wafer Scale. Using a chip the size of a dinner plate (CS-3), it eliminates memory bandwidth bottlenecks entirely. It is the preferred choice for massive batch-processing jobs where you need to summarize 10 million documents in an hour. |
Just the Highlights
Groq
The Latency King. Powered by LPU (Language Processing Unit) architecture rather than GPUs, it delivers 1200+ tokens/second. It is the mandatory backend for voice-to-voice agents where 500ms latency feels like an eternity.
SambaNova Cloud
The Throughput Beast. While Groq wins on speed, SambaNova wins on batch size. Its SN40L Reconfigurable Dataflow Unit allows it to serve massive 1T+ parameter models (like DeepSeek V4) at speeds GPUs cannot touch.
Together AI
The Fine-Tuning Hub. It hosts the world's most diverse 'Serverless Endpoint' library. Its 'MoE Speculative Decoding' allows you to run custom fine-tunes of Llama 4 at 300 t/s without managing a single GPU.
Cerebras
The Wafer Scale. Using a chip the size of a dinner plate (CS-3), it eliminates memory bandwidth bottlenecks entirely. It is the preferred choice for massive batch-processing jobs where you need to summarize 10 million documents in an hour.