DeepInfra vs TypeSafe AI

TypeSafe's Jev returns typed decisions with calibrated confidence in 70 to 500ms. DeepInfra serves cheap LLMs that generate text. They overlap on classification and little else.

By The Subconscious Team · Updated October 29, 2026

DeepInfra vs TypeSafe AI: key differences

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 calls finish in 70 to 500ms end to end 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 200+ 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 DeepInfra and TypeSafe AI do

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 $0.09 in and $0.18 out. The catalog covers 200+ 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.

Example models: DeepSeek V4 Flash, Llama 3.1 8B

Full DeepInfra 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; his co-founders are Erik Gafni and Sasha Sheng. After two years in stealth the company launched on September 15, 2026 with a $40M seed round led by DCVC and 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. Weeks after launch, in October 2026, TypeSafe raised an $870M Series A led by Andreessen Horowitz at a $7.5B valuation. Jev 1.14 followed on October 14 at the same price, adding experimental image input and longer context behind opt-in flags.

Example models: Jev, jev-1.14

Full TypeSafe AI profile

Should you choose DeepInfra or TypeSafe AI?

DeepInfra

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

TypeSafe AI

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

DeepInfra vs TypeSafe AI at a glance

Attribute	DeepInfra	TypeSafe AI
Model access	Open weights	Decision models
Flagship models	DeepSeek V4 Flash, Llama 3.1 8B	Jev, jev-1.14
Speed	Unknown	70–500ms per call
Price	From $0.02 per 1M	$0.042 per 1M input tokens; output free
Customization	No managed fine-tuning	Unknown
Deployment	Shared API, no contracts	Early-access API, plus Vercel AI Gateway, OpenRouter and LiteLLM
Long context	1M on DeepSeek V4 Pro	64K per request, 32K per question

Frequently asked questions

What is the difference between DeepInfra and TypeSafe AI?

TypeSafe's Jev returns typed decisions with calibrated confidence in 70 to 500ms. 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: $0.042 per 1M input tokens; output free. The cheaper choice depends on the model and workload.

Which has more context, DeepInfra or TypeSafe AI?

DeepInfra: 1M on DeepSeek V4 Pro. TypeSafe AI: 64K per request, 32K per question.

Related comparisons

Running long-horizon agents?

If your agents run past 200K tokens, compare both against Subconscious. Our inference stack treats a long-horizon trace as the primary workload, so speed, cost, and accuracy hold up deep into the trace.

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