Baseten vs Chutes: Token Pricing, Speed & Intelligence
Full comparison of Baseten and Chutes — 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.
Chutes
Open-weight model inference on TEE GPUs
Chutes (chutes.ai) is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware, with cryptographic attestation of model and input confidentiality. The API is OpenAI-compatible and pricing is per token with no minimum commitment.
Key metric comparison
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Live token pricing
No live pricing data available.
← Swipe to see all columns
| Model | Input | Output |
|---|---|---|
| Qwen/Qwen3-32B | $0.10EST Oct 2026 | $0.42 |
| google/gemma-4-31b-turbo | $0.12EST Oct 2026 | $0.37 |
| Qwen/Qwen3.8-27B | $0.04EST Oct 2026 | $1.25 |
| Qwen/Qwen3.6-27B | $0.25EST Oct 2026 | $2.00 |
| mistralai/Mistral-Nemo-Instruct-2407 | $0.02EST Oct 2026 | $0.10 |
Strengths and weaknesses
Baseten
Chutes
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.
Open-weight inference platform running workloads inside TEEs with cryptographic attestation.
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.
Chutes FAQs
What is Chutes?
Chutes is an inference platform for open-weight models. Workloads run inside Trusted Execution Environments (TEEs) on GPU hardware. See chutes.ai for details.
What does TEE inference mean on Chutes?
TEE (Trusted Execution Environment) inference runs model workloads inside a hardware-isolated enclave. Chutes provides cryptographic attestation of this isolation. See their documentation at docs.chutes.ai.
What models does Chutes offer?
Chutes hosts open-weight models including families from Llama, Mistral, Qwen, and DeepSeek. See chutes.ai for the current catalog.
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)
Chutes
- TEE-backed inference with cryptographic attestation
- OpenAI-compatible API
- Serverless, per-token pricing
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
Chutes
Provider category context
Baseten is a inference api, founded in 2019. Chutes is a open source host, founded in 2024. The category difference means these providers serve partially overlapping use cases — compare the model lists and pricing tables above to find the best fit for your specific workload.
How to choose between them
Choose Baseten if you need full control over model serving: custom preprocessing, postprocessing, and business logic. Choose Chutes if you need tee-backed inference with cryptographic attestation. For high-volume production workloads, run a cost comparison using the token pricing table above with your actual prompt/completion token ratio — the cheapest provider depends heavily on your input-to-output token ratio.