Baseten vs OctoAI: Token Pricing, Speed & Intelligence
Full comparison of Baseten and OctoAI — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
Baseten
Production ML infrastructure — deploy any model with custom serving, autoscaling, and GPU selection
Baseten is a production ML infrastructure platform for deploying custom and open-weight models with full control over serving configuration, GPU selection, autoscaling, and cold-start behavior. Unlike managed inference APIs, Baseten lets you bring your own model weights, custom preprocessing, and serving logic. It supports Truss (Baseten's open-source model packaging format), vLLM, TensorRT-LLM, and custom Python serving code. Ideal for teams that need more control than a managed API but less overhead than raw Kubernetes.
OctoAI
Acquired by NVIDIA — OctoAI inference is now available via NVIDIA NIM
OctoAI was acquired by NVIDIA in 2024 and its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing OctoAI customers have been migrated to NVIDIA NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure with TensorRT-LLM acceleration. New users should use NVIDIA NIM directly for access to Llama 4, Mistral, Qwen3, and other open-weight models.
Key metric comparison
—
—
—
—
—
—
—
—
—
—
—
—
Live token pricing
Strengths and weaknesses
Baseten
OctoAI
Key differentiators
The production ML platform that gives you managed-API convenience with custom-serving flexibility — deploy any model with your own preprocessing logic, GPU selection, and autoscaling without managing Kubernetes.
OctoAI's inference technology lives on inside NVIDIA NIM — the same hardware-aware optimisation, now with TensorRT-LLM acceleration and NVIDIA's global GPU infrastructure behind it.
Frequently asked questions
Baseten FAQs
What is Baseten?
Baseten is a production ML infrastructure platform for deploying AI models with custom serving logic, GPU selection, and autoscaling. It supports any open-weight model or custom fine-tune via the Truss packaging format.
How does Baseten differ from Together AI or Replicate?
Baseten gives you full control over the serving stack — custom preprocessing, postprocessing, GPU selection, and autoscaling behavior. Together AI and Replicate are managed APIs with fixed serving; Baseten is for teams that need custom model serving logic.
What GPUs does Baseten support?
Baseten supports H100 SXM, H100 PCIe, A100 80GB, A10G, and T4 GPUs with per-second billing. You select the GPU type per deployment based on your model's memory and throughput requirements.
OctoAI FAQs
What happened to OctoAI?
OctoAI was acquired by NVIDIA in 2024. Its inference platform has been integrated into NVIDIA NIM (Inference Microservices). Existing customers were migrated to NIM, which provides the same optimised open-weight model inference on NVIDIA GPU infrastructure.
Can I still use the OctoAI API?
The original OctoAI API endpoints have been deprecated. Existing OctoAI customers should migrate to NVIDIA NIM, which provides equivalent functionality with TensorRT-LLM optimisation and access to the full NVIDIA model catalog.
What is NVIDIA NIM?
NVIDIA NIM (Inference Microservices) are containerized AI inference packages optimized for NVIDIA GPUs using TensorRT-LLM. They can be accessed via the NVIDIA API catalog at build.nvidia.com or self-hosted on any NVIDIA GPU infrastructure.
Provider resources
Key strengths compared
Baseten
- Full control over model serving: custom preprocessing, postprocessing, and business logic
- Bring your own weights — deploy any HuggingFace model or custom fine-tune
- GPU selection: H100, A100, A10G, T4 with per-second billing
- More setup required than managed APIs — not a drop-in OpenAI replacement
- Cold starts on scale-to-zero deployments (configurable warm pool available)
OctoAI
- Now backed by NVIDIA's full GPU infrastructure and TensorRT-LLM stack
- Seamless migration path for existing OctoAI customers to NVIDIA NIM
- Access to NVIDIA's full open-weight model catalog via NIM
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
Key weaknesses compared
Baseten
- More setup required than managed APIs — not a drop-in OpenAI replacement
- Cold starts on scale-to-zero deployments (configurable warm pool available)
- Pricing is higher than shared inference APIs for low-volume workloads
OctoAI
- OctoAI as a standalone product no longer exists — new users should use NVIDIA NIM directly
- Migration required for any OctoAI-specific API integrations
- Self-hosted path requires NVIDIA GPU infrastructure investment
Provider category context
Baseten is a inference api, founded in 2019. OctoAI is a inference api, founded in 2022. Both are inference api providers — the comparison is primarily about pricing, model selection, and feature differentiation within the same tier.
How to choose between them
Both Baseten and OctoAI host open-weight models. The key differentiators are latency, throughput, and which specific model versions each provider offers. Check the speed metrics above — inference API providers often differ significantly on tokens-per-second for the same model. Pricing is typically competitive between them; availability of specific model versions (e.g., Llama 3.1 405B, DeepSeek V3) may be the deciding factor.