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TypeSafe AI vs RunInfra
RunInfra hosts mid-size open LLMs and builds tuned endpoints; TypeSafe offers a decision model for typed answers. RunInfra generates, Jev decides.
By The Subconscious Team · Updated
TypeSafe AI vs RunInfra: key differences
RunInfra and TypeSafe both help teams avoid calling a large model for every step, in different ways. RunInfra serves mid-size open models such as Nemotron 3.5 Lightning 30B and Qwen 3.8 27B, and its deployment agent picks a model, benchmarks it across GPUs from L4 to B200, searches quantized variants and ships an endpoint that scales to zero. TypeSafe's Jev is not a language model in that sense. It returns a typed choice, score or true-or-false with calibrated confidence in 70 to 500ms, and it cannot generate text.
For a decision like routing a ticket, Jev's schema guarantee and confidence score are its edge, since it cannot hallucinate a label outside the options. For anything that needs words, code or a voice pipeline that runs Whisper into an LLM into TTS, RunInfra is the one that can do it. RunInfra also sells coding plans from $10 a month for agent CLIs. Both are young companies with little independent benchmarking, and Jev is still in early access, so teams should test each on their own traffic.
What TypeSafe AI and RunInfra do
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 profileRunInfra
RunInfra pitches open models built for agents, with two ways in. Its hosted Model APIs serve an eight-model library, including Nemotron 3.5 Lightning 30B, Qwen 3.8 27B, Ornith 1.5 35B and 122B, GLM 5.3, GLM 5.3 Flash and two versions of DeepSeek V4.1 Flash, behind one key that works with both the OpenAI and Anthropic SDKs. Prices run from $0.05 in and $0.15 out on Nemotron to $1.30 in and $4.20 out on GLM 5.3, and cached input starts at $0.01. Coding plans start at $10 a month with limits that reset every five hours and every week, and they plug into Claude Code, Codex, OpenCode, Cline, Aider and dozens of other agent CLIs.
Example models: Nemotron 3.5 Lightning 30B, Qwen 3.8 27B
Full RunInfra profileShould you choose TypeSafe AI or RunInfra?
TypeSafe AI
Choose TypeSafe AI for
- Ticket routing and lead scoring with calibrated confidence
- Guardrails in front of a small LLM
- Label sets that must never be violated
RunInfra
Choose RunInfra for
- Cheap open-model generation for agents
- Automated benchmarking and quantization for a latency target
- Speech-to-LLM-to-TTS voice pipelines
TypeSafe AI vs RunInfra at a glance
| Attribute |  TypeSafe AI | RunInfra |
|---|---|---|
| Model access | Decision models | Open weights |
| Flagship models | Jev, jev-1.14 | Nemotron 3.5 Lightning 30B, Qwen 3.8 27B |
| Speed | 70–500ms per call | ~541 tok/s on Nemotron 3.5 Lightning 30B (vendor); cold starts under 2s |
| Price | $0.042 per 1M input tokens; output free | From $0.05 in, $0.15 out; coding plans from $10 a month |
| Customization | Unknown | Uploads up to 50 GB; auto-quantization |
| Deployment | Early-access API, plus Vercel AI Gateway, OpenRouter and LiteLLM | Model APIs, agent-built endpoints |
| Long context | 64K per request, 32K per question | Varies by model |
Frequently asked questions
What is the difference between TypeSafe AI and RunInfra?
RunInfra hosts mid-size open LLMs and builds tuned endpoints; TypeSafe offers a decision model for typed answers. RunInfra generates, Jev decides.
When should I choose TypeSafe AI over RunInfra?
Ticket routing and lead scoring with calibrated confidence; Guardrails in front of a small LLM; Label sets that must never be violated.
When should I choose RunInfra over TypeSafe AI?
Cheap open-model generation for agents; Automated benchmarking and quantization for a latency target; Speech-to-LLM-to-TTS voice pipelines.
Is TypeSafe AI or RunInfra cheaper?
TypeSafe AI: $0.042 per 1M input tokens; output free. RunInfra: From $0.05 in, $0.15 out; coding plans from $10 a month. The cheaper choice depends on the model and workload.
Which has more context, TypeSafe AI or RunInfra?
TypeSafe AI: 64K per request, 32K per question. RunInfra: Varies by model.
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