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Subconscious vs TypeSafe AI

TypeSafe AI's Jev returns typed decisions in about 100ms and generates no text. Subconscious runs long agent traces. Inside one harness, Jev can route and guard what Subconscious runs.

By The Subconscious Team · Updated

Subconscious vs TypeSafe AI: key differences

These two are not substitutes. TypeSafe AI builds decision models. A developer defines an answer space with primitives like Choice and Score, and Jev returns a typed answer with calibrated confidence in about 100ms, roughly 40 to 200x faster than an LLM on decision-shaped queries. It cannot generate text or code. Subconscious does the generating. It serves the long-running model at the center of an agent, prunes the KV cache as the trace grows past 200K tokens, and bills processed tokens rather than tokens sent.

TypeSafe's own use cases describe the fit: guardrails and routers inside agent harnesses, such as detecting jailbreaks, grading tool calls or picking which LLM gets a prompt. A harness can use Jev to judge whether a task is short and single-turn, where Subconscious adds little, or long-horizon, where Subconscious delivers neutral to 10% better scores on agentic benchmarks, and route it accordingly. Jev can also grade each tool call along the way and escalate when its confidence is low. Keep in mind that Jev is in early access, takes text-only input, and asks teams to learn a new programming model.

What Subconscious and TypeSafe AI do

Subconscious

Subconscious is an MIT CSAIL spinout in Kendall Square that builds inference for long-horizon agents, the workloads where a single trace runs past 200K tokens and often into the millions. Its runtime drops in as a replacement for vLLM or SGLang. Instead of rereading an ever-growing context on every step, it prunes the KV cache and preserves suffix state, and Subconscious co-designs the runtime with post-trained model variants it calls Marathon. Against open models on standard inference, Subconscious delivers 2x faster task completion, delivers a 5M+ effective context window, cuts cost 50% and up to 80%, and scores neutral to 10% better on agentic benchmarks.

Example models: GLM 5.3, DeepSeek V4.1 Flash

Full Subconscious 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 profile

Should you choose Subconscious or TypeSafe AI?

Subconscious

Choose Subconscious for

  • The long-running generation behind the router
  • Code and text output across traces past 200K tokens
  • Agents billed on processed tokens after compression

TypeSafe AI

Choose TypeSafe AI for

  • Routing prompts to the right model in about 100ms
  • Guardrails like jailbreak detection and tool-call grading
  • Typed decisions with calibrated confidence inside workflows

Subconscious vs TypeSafe AI at a glance

AttributeSubconsciousTypeSafe AI
Model accessOpen weightsDecision models
Flagship modelsGLM 5.3, DeepSeek V4.1 FlashJev, jev-1.13
Speed2x faster task completion~100ms per call
Price50–80% lower cost; billed on processed tokensA fraction of an LLM call
CustomizationMarathon post-trained variantsUnknown
DeploymentManaged API, dedicated, on-premEarly-access API
Long context5M+ effective contextUnknown

Frequently asked questions

What is the difference between Subconscious and TypeSafe AI?

TypeSafe AI's Jev returns typed decisions in about 100ms and generates no text. Subconscious runs long agent traces. Inside one harness, Jev can route and guard what Subconscious runs.

When should I choose Subconscious over TypeSafe AI?

The long-running generation behind the router; Code and text output across traces past 200K tokens; Agents billed on processed tokens after compression.

When should I choose TypeSafe AI over Subconscious?

Routing prompts to the right model in about 100ms; Guardrails like jailbreak detection and tool-call grading; Typed decisions with calibrated confidence inside workflows.

Is Subconscious or TypeSafe AI cheaper?

Subconscious: 50–80% lower cost; billed on processed tokens. TypeSafe AI: A fraction of an LLM call. The cheaper choice depends on the model and workload.

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Run your longest agent traces on Subconscious

Point the OpenAI or Anthropic SDK, or the coding agent you already use, at Subconscious. Keep TypeSafe AI for the work it does best and send the long runs to us.

Get an API keyRead the docs