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Relace vs TypeSafe AI
Two specialist tools for agent builders. Relace's small models apply edits and search code; TypeSafe AI's Jev makes typed decisions with calibrated confidence. Different steps of the same harness.
By The Subconscious Team · Updated
Relace vs TypeSafe AI: key differences
Relace and TypeSafe AI share a thesis: small specialized models beat frontier LLMs on narrow utility tasks. They apply it to different tasks. Relace works on code. relace-apply-3 merges a lazy edit snippet into a file at about 10,000 tokens per second with 128K tokens of input and output, agentic search answers codebase questions in seconds, and a compaction model runs at 50,000 tokens per second. TypeSafe AI's Jev works on decisions. Developers define answer types like Choice, Score or true-or-false, and Jev returns a typed answer with calibrated confidence in 70 to 500ms.
Neither generates open-ended text, and neither replaces the other. In a coding agent, Jev could route a request, grade a tool call or detect a jailbreak, while Relace applies edits and retrieves code for the main model. Relace is further along, with hosted and self-hosted options and a listing on OpenRouter. Jev is in early access with text-only input and a new programming model to learn. Coding tools start with Relace. Workflows full of if-statements and routing, coding or not, start with Jev.
What Relace and TypeSafe AI do
Relace
Relace started out training small, fast models that act as tools for coding agents, and by October 2026 its homepage led with open-model inference instead. It says it served 30 trillion tokens in the 30 days to late October and ranks among the top providers on OpenRouter. The hosted catalog covers DeepSeek V4 Pro, V4 Flash and V4.1 Flash, Kimi K3, GLM 5.3, GLM 5.3 Flash and GLM 5.2 over OpenAI and Anthropic compatible APIs, billed per token with no subscription. Prices run from $0.07 in and $0.14 out per million tokens on DeepSeek V4 Flash to $2.00 in and $14.00 out on Kimi K3, and Relace says it reprices often.
Example models: DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3
Full Relace 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 profileShould you choose Relace or TypeSafe AI?
Relace
Choose Relace for
- Applying model edits to files at about 10,000 tokens per second
- Fast search and compaction over large repos
- Self-hosted deployment for in-house code
TypeSafe AI
Choose TypeSafe AI for
- Routing and classification with calibrated confidence
- Guardrails and tool-call grading in agent harnesses
- Decision steps that must return in 70 to 500ms
Relace vs TypeSafe AI at a glance
| Attribute | Relace |  TypeSafe AI |
|---|---|---|
| Model access | Open weights, plus specialist coding models | Decision models |
| Flagship models | DeepSeek V4.1 Flash, Kimi K3, GLM 5.3, relace-apply-3 | Jev, jev-1.14 |
| Speed | ~10,000 tok/s apply | 70–500ms per call |
| Price | $0.07 in, $0.50 out (DeepSeek V4.1 Flash) | $0.042 per 1M input tokens; output free |
| Customization | Unknown | Unknown |
| Deployment | Hosted API, OpenRouter or self-hosted | Early-access API, plus Vercel AI Gateway, OpenRouter and LiteLLM |
| Long context | 128K on apply; varies by open model | 64K per request, 32K per question |
Frequently asked questions
What is the difference between Relace and TypeSafe AI?
Two specialist tools for agent builders. Relace's small models apply edits and search code; TypeSafe AI's Jev makes typed decisions with calibrated confidence. Different steps of the same harness.
When should I choose Relace over TypeSafe AI?
Applying model edits to files at about 10,000 tokens per second; Fast search and compaction over large repos; Self-hosted deployment for in-house code.
When should I choose TypeSafe AI over Relace?
Routing and classification with calibrated confidence; Guardrails and tool-call grading in agent harnesses; Decision steps that must return in 70 to 500ms.
Is Relace or TypeSafe AI cheaper?
Relace: $0.07 in, $0.50 out (DeepSeek V4.1 Flash). TypeSafe AI: $0.042 per 1M input tokens; output free. The cheaper choice depends on the model and workload.
Which has more context, Relace or TypeSafe AI?
Relace: 128K on apply; varies by open model. TypeSafe AI: 64K per request, 32K per question.
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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.