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Groq vs TypeSafe AI
TypeSafe AI's Jev returns typed decisions in about 100ms. Groq generates text fast. A fast decision model and a fast generator can share one agent.
By The Subconscious Team · Updated
Groq vs TypeSafe AI: key differences
Both products are about low latency, but they return different things. TypeSafe AI's Jev evaluates a fixed set of options in one pass and returns a typed answer with calibrated probabilities, usually in about 100ms. It never generates free text and cannot answer outside the schema. Groq generates text on open models at hundreds of tokens per second. In a voice agent, Jev could classify intent or detect a jailbreak before a Groq-hosted model produces the reply, keeping both steps fast.
Maturity differs sharply. Jev is early access, text-only, and asks developers to learn primitives like Choice and Score. Groq is a production OpenAI-compatible API, though it now runs independently after NVIDIA hired most of its staff. TypeSafe claims 40 to 200x faster answers than an LLM on decision-shaped queries. That makes Jev the better router or guardrail, and Groq the better choice whenever the output has to be words.
What Groq and TypeSafe AI do
Groq
Groq serves open models on its own chip, the LPU, which keeps model weights in on-chip SRAM and runs a deterministic schedule instead of waiting on GPU memory. Groq publishes 1,000 tokens per second on GPT-OSS 20B and 500 on GPT-OSS 120B. Latency stays tight between median and tail, which matters for strict SLAs. The API is OpenAI-compatible and also hosts Whisper for speech to text plus an agentic system called Groq Compound with built-in search and code execution.
Example models: GPT-OSS 120B, Qwen 3.6 27B
Full Groq 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 Groq or TypeSafe AI?
Groq
Choose Groq for
- Generating replies quickly in voice apps
- Open-model text and speech to text
- Multi-call agents that need fast generation
TypeSafe AI
Choose TypeSafe AI for
- Intent classification and ticket routing
- Guardrails with calibrated confidence
- Choosing which model should handle a prompt
Groq vs TypeSafe AI at a glance
| Attribute | Groq |  TypeSafe AI |
|---|---|---|
| Model access | Open weights | Decision models |
| Flagship models | GPT-OSS 120B, Qwen 3.6 27B | Jev, jev-1.13 |
| Speed | 500–1,000 tok/s | ~100ms per call |
| Price | Near the floor on small models | A fraction of an LLM call |
| Customization | No fine-tuned model hosting | Unknown |
| Deployment | GroqCloud API | Early-access API |
| Long context | Around 131K max | Unknown |
Frequently asked questions
What is the difference between Groq and TypeSafe AI?
TypeSafe AI's Jev returns typed decisions in about 100ms. Groq generates text fast. A fast decision model and a fast generator can share one agent.
When should I choose Groq over TypeSafe AI?
Generating replies quickly in voice apps; Open-model text and speech to text; Multi-call agents that need fast generation.
When should I choose TypeSafe AI over Groq?
Intent classification and ticket routing; Guardrails with calibrated confidence; Choosing which model should handle a prompt.
Is Groq or TypeSafe AI cheaper?
Groq: Near the floor on small models. TypeSafe AI: A fraction of an LLM call. The cheaper choice depends on the model and workload.
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