Baseten vs Infermatic: Token Pricing, Speed & Intelligence
Full comparison of Baseten and Infermatic — 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.
Infermatic
Uncensored open-weight inference — RP, creative writing, and unrestricted model access
Infermatic is a specialized LLM inference provider focused on uncensored and minimally-filtered open-weight models, serving the roleplay, creative writing, and adult content communities. It hosts a curated catalog of fine-tuned Llama, Mistral, and Qwen variants optimized for creative and RP use cases, with OpenAI-compatible API access. Infermatic offers competitive per-token pricing with no content filtering on supported models, making it a go-to provider for use cases that mainstream APIs decline.
Key metric comparison
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$0.03
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$0.03
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100 tok/s
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300ms
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72/100
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131K
Live token pricing
No live pricing data available.
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| Model | Input | Output |
|---|---|---|
| llama-3.3-70b-instruct | $0.07EST Aug 2026 | $0.07 |
| mistral-nemo-12b-instruct | $0.03EST Aug 2026 | $0.03 |
Strengths and weaknesses
Baseten
Infermatic
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.
The leading inference API for uncensored open-weight models — purpose-built for roleplay, creative writing, and adult content use cases that mainstream providers decline to serve.
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.
Infermatic FAQs
What is Infermatic?
Infermatic is an LLM inference provider specializing in uncensored and minimally-filtered open-weight models for roleplay, creative writing, and adult content use cases. It offers OpenAI-compatible API access to curated RP-optimized fine-tunes.
What models does Infermatic offer?
Infermatic hosts RP-optimized fine-tunes of Llama 4, Mistral, Qwen3, and other open-weight base models. The catalog focuses on models fine-tuned for creative writing, character roleplay, and adult content generation.
Is Infermatic API OpenAI-compatible?
Yes. Infermatic provides an OpenAI-compatible REST API, so you can use it as a drop-in replacement in any application that supports custom base URLs — including LangChain, LlamaIndex, and most AI frameworks.
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)
Infermatic
- Uncensored and minimally-filtered model access for creative and RP use cases
- Curated catalog of RP-optimized fine-tunes (Llama, Mistral, Qwen variants)
- OpenAI-compatible API — easy integration with existing tooling
- Not suitable for enterprise or compliance-sensitive workloads
- Smaller model catalog than Together AI or OpenRouter
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
Infermatic
- Not suitable for enterprise or compliance-sensitive workloads
- Smaller model catalog than Together AI or OpenRouter
- Less infrastructure redundancy than larger providers
Provider category context
Baseten is a inference api, founded in 2019. Infermatic is a open source host, founded in 2023. 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 Infermatic if you need uncensored and minimally-filtered model access for creative and rp use cases. 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.