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Modal vs TypeSafe AI
TypeSafe AI sells Jev, a decision model returning typed answers in about 100ms. Modal sells per-second GPUs to run any model. One is a hosted model, the other the place you run yours.
By The Subconscious Team · Updated
Modal vs TypeSafe AI: key differences
TypeSafe AI's Jev is a hosted decision model. A developer defines the answer space with Choice, Score or true-or-false primitives, and Jev returns a typed answer plus calibrated probabilities, usually in about 100ms and at a tiny fraction of an LLM call's cost. Every response stays inside the options the developer defined. Modal has no models. It gives Python developers GPUs on demand, scaling to zero and billing per second, so a team can run classifiers, embeddings or LLMs it packages itself.
A team could build its own classifier on Modal, but that means training, packaging and serving it, and paying for warm containers if 100ms responses matter. Jev skips that work for decision-shaped queries like ticket routing, lead scoring or jailbreak detection. Modal wins when the model is custom, when the output is text or media, or when a workflow needs fine-tuning and batch jobs. Jev is in early access with text-only input, and its programming model is new.
What Modal and TypeSafe AI do
Modal
Modal is serverless compute with GPUs attached. A developer decorates a Python function with the hardware it needs, such as gpu="H100", and Modal builds the container, schedules it, autoscales it and scales it back to zero. Billing runs per second with no minimum increment, from $0.59 an hour for a T4 to $3.95 for an H100 at list. Containers can hold up to 8 GPUs across T4 through B300.
Example models: none hosted by default; teams deploy their own, such as open LLMs on vLLM or Whisper
Full Modal profile
TypeSafe AI
TypeSafe AI builds decision models instead of text generators. Founder Diogo Almeida co-invented RLHF and InstructGPT at OpenAI and later worked at Google Brain. After two years in stealth the company released its first System One Model, Jev, in early access. The name nods to Kahneman's fast System 1 thinking, and the model is built for machines to call, not people to chat with.
Example models: Jev, jev-1.13
Full TypeSafe AI profileShould you choose Modal or TypeSafe AI?
Modal
Choose Modal for
- Custom classifiers and models you train yourself.
- Generation, OCR and media jobs on GPUs.
- Fine-tuning and batch work on one platform.
TypeSafe AI
Choose TypeSafe AI for
- Typed decisions in about 100ms with no serving work.
- Confidence scores that decide when to escalate.
- Routers and guardrails inside agent harnesses.
Modal vs TypeSafe AI at a glance
| Attribute | Modal |  TypeSafe AI |
|---|---|---|
| Model access | Bring your own weights | Decision models |
| Flagship models | None hosted | Jev, jev-1.13 |
| Speed | ~1s container boot | ~100ms per call |
| Price | Per second; H100 $3.95/hr list | A fraction of an LLM call |
| Customization | Run any training code | Unknown |
| Deployment | Serverless GPU containers | Early-access API |
| Long context | Depends on the model you deploy | Unknown |
Frequently asked questions
What is the difference between Modal and TypeSafe AI?
TypeSafe AI sells Jev, a decision model returning typed answers in about 100ms. Modal sells per-second GPUs to run any model. One is a hosted model, the other the place you run yours.
When should I choose Modal over TypeSafe AI?
Custom classifiers and models you train yourself; Generation, OCR and media jobs on GPUs; Fine-tuning and batch work on one platform.
When should I choose TypeSafe AI over Modal?
Typed decisions in about 100ms with no serving work; Confidence scores that decide when to escalate; Routers and guardrails inside agent harnesses.
Is Modal or TypeSafe AI cheaper?
Modal: Per second; H100 $3.95/hr list. TypeSafe AI: A fraction of an LLM call. The cheaper choice depends on the model and workload.
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