Infermatic vs Modal: Token Pricing, Speed & Intelligence
Full comparison of Infermatic and Modal — live token pricing, latency, throughput, context window, strengths, weaknesses, and best use cases. Rates sourced from public APIs — verify before use.
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.
Modal
Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Key metric comparison
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Live token pricing
Strengths and weaknesses
Infermatic
Modal
Key differentiators
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.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
Frequently asked questions
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.
Modal FAQs
What models does Modal offer on Shared Endpoints?
Modal Shared Endpoints currently serve 10 models: GLM 5.3 Flash NVFP4, DeepSeek V4.1 Flash 1017, DeepSeek V4.1 Flash, GLM 5.3 Flash, Muse Spark Open, GLM 5.3, Inkling NVFP4, Qwen3.8-Max, Qwen3.8-Max VL, and Kimi K3. Use the model table above for per-model pricing and capability details. Source: Modal's published Shared Endpoints catalog, re-read 2026-10-31.
How much does Modal charge per 1M tokens?
Modal Shared Endpoints input prices range from $0.15/1M (GLM 5.3 Flash NVFP4) to $3.00/1M (Kimi K3). All models include cached-input pricing. See the model table for full per-model rates.
Does Modal offer prompt caching?
Yes. All 10 models in the Modal Shared Endpoints catalog have published cached-input pricing, ranging from $0.005/1M (DeepSeek V4.1 Flash 1017) to $0.30/1M (Kimi K3). Depending on the model, the cached-input rate is 77.5% to 98% below the standard input rate. Source: Modal's published Shared Endpoints rates, re-read 2026-10-31.
Provider resources
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.
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.
Modal — Managed inference API — 10 shared-endpoint models with per-token pricing
Modal Shared Endpoints serve a fixed catalog of models from Modal-managed pools. Modal manages the hardware and autoscaling, and usage is billed per token. Shared Endpoints have model-specific concurrency limits on concurrent in-flight requests. Prices are published rates from modal.com/docs/guide/supported-models.md, re-read 2026-10-31.
Modal Shared Endpoints provide managed per-token inference on a fixed 10-model catalog with published cached-input pricing and no infrastructure to manage.
Key strengths compared
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
Modal
- Managed hardware and autoscaling — no infrastructure to operate
- Published per-token rates including cached-input pricing
- OpenAI-style per-token billing across all 10 models
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
Key weaknesses compared
Infermatic
- Not suitable for enterprise or compliance-sensitive workloads
- Smaller model catalog than Together AI or OpenRouter
- Less infrastructure redundancy than larger providers
Modal
- Small fixed catalog of 10 models
- Model-specific concurrency limits on shared pools
- Prices are published rates re-read 2026-10-31, not continuously collected
Provider category context
Infermatic is a open source host, founded in 2023. Modal is a inference api. 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 Infermatic if you need uncensored and minimally-filtered model access for creative and rp use cases. Choose Modal if you need managed hardware and autoscaling — no infrastructure to operate. 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.