# DeepInfra vs TypeSafe AI

> TypeSafe's Jev returns typed decisions with calibrated confidence in about 100ms. DeepInfra serves cheap LLMs that generate text. They overlap on classification and little else.

Canonical: https://www.subconscious.dev/compare/deepinfra-vs-typesafe-ai · By The Subconscious Team · Updated September 30, 2026

## How they compare

The overlap sits in one place: classification. DeepInfra is a popular backend for bulk tagging and extraction because its LLM tokens are so cheap, from $0.02 per million on Llama 3.1 8B. TypeSafe AI argues that decision-shaped work should not go to a text generator at all. Its model, Jev, takes an answer space defined up front with primitives like Choice, Score and a true-or-false type, evaluates every option in one pass, and returns a typed answer with calibrated probabilities. TypeSafe says most calls finish in about 100ms and run roughly 40 to 200x faster than an LLM on these queries, and outputs always match the schema.

Outside that overlap they are complements. Jev generates no text or code, is text-only on input, and is still in early access with a new programming model to learn. DeepInfra covers generation across 150+ models, including image and speech. A reasonable pattern is Jev for routing, intent detection or guardrails, deciding which prompts need an LLM at all, and DeepInfra for the calls that do. For tagging jobs that need a free-form label, or where a confidence score adds nothing, a cheap DeepInfra model is still the simpler tool.

## What each one does

### DeepInfra

DeepInfra is the price floor for open-model inference. Developers treat it as the reference point for what a token should cost, with small models like Llama 3.1 8B at $0.02 per million and DeepSeek V4 Flash at $0.14 in and $0.28 out. The catalog covers 150+ open models across text, image and speech behind a fully OpenAI-compatible API. There are no minimums, setup fees or contracts on the shared API.

### 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.

## Which is best, and when

### Choose DeepInfra for

- Extraction and tagging that need free-form output
- Text, image and speech generation at low cost
- Production workloads that want a mature, public price sheet

### Choose TypeSafe AI for

- Routing tickets or intent with calibrated confidence
- Guardrails and routers inside agent harnesses
- Decisions that must never return an out-of-schema value

## At a glance

| Attribute | DeepInfra | TypeSafe AI |
|---|---|---|
| Model access | Open weights | Decision models |
| Flagship models | DeepSeek V4 Flash, Llama 3.1 8B | Jev, jev-1.13 |
| Speed | ~33 tok/s on DeepSeek V4 Pro (FP4) | ~100ms per call |
| Price | From $0.02 per 1M | A fraction of an LLM call |
| Customization | No managed fine-tuning | - |
| Deployment | Shared API, no contracts | Early-access API |
| Long context | 66K on FP4 DeepSeek V4 Pro | - |

## FAQ

### What is the difference between DeepInfra and TypeSafe AI?

TypeSafe's Jev returns typed decisions with calibrated confidence in about 100ms. DeepInfra serves cheap LLMs that generate text. They overlap on classification and little else.

### When should I choose DeepInfra over TypeSafe AI?

Extraction and tagging that need free-form output; Text, image and speech generation at low cost; Production workloads that want a mature, public price sheet.

### When should I choose TypeSafe AI over DeepInfra?

Routing tickets or intent with calibrated confidence; Guardrails and routers inside agent harnesses; Decisions that must never return an out-of-schema value.

### Is DeepInfra or TypeSafe AI cheaper?

DeepInfra: From $0.02 per 1M. TypeSafe AI: A fraction of an LLM call. The cheaper choice depends on the model and workload.

## Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious: [Subconscious vs DeepInfra](https://www.subconscious.dev/compare/subconscious-vs-deepinfra.md), [Subconscious vs TypeSafe AI](https://www.subconscious.dev/compare/subconscious-vs-typesafe-ai.md).

Full profiles: [DeepInfra](https://www.subconscious.dev/providers/deepinfra.md), [TypeSafe AI](https://www.subconscious.dev/providers/typesafe-ai.md).