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TypeSafe AI vs Particle.AI
Particle serves cheap Flash-class LLMs with 1M context; TypeSafe's Jev returns typed decisions in 70 to 500ms. They overlap on classification and little else.
By The Subconscious Team · Updated
TypeSafe AI vs Particle.AI: key differences
This pair only overlaps on cheap, high-volume calls. Particle.AI serves Flash-class open models through its own API and Vercel AI Gateway, like GLM 5.3 Flash at $0.15 in and $0.50 out, with 1M context and cache reads at $0.03 per million. Its pitch is cheap high-volume calls, which can include classification. TypeSafe's Jev targets that job with a different design. Developers define the answer space, and Jev returns a typed answer with calibrated probabilities in 70 to 500ms, at $0.042 per million input tokens, with output free.
Latency is a clear gap. Particle's GLM 5.3 Flash takes about 1.6 seconds to first token at the median on Vercel AI Gateway, while Jev finishes calls in 70 to 500ms, and Jev cannot return a label outside its schema. Particle's advantage is range: its models write text, summarize long documents across 1M tokens and answer open questions, none of which Jev does. Both are early. Particle has a tiny catalog and little track record, and Jev is early access with text-only input. For decisions, test Jev. For generation, Particle is the option of the two.
What TypeSafe AI and Particle.AI 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 profile
Particle.AI
Particle AI is an early San Francisco infrastructure startup with a mission to make intelligence as cheap and abundant as electricity. The team works on post-training, inference optimization and distributed systems, all aimed at pushing down cost per unit of intelligence. It is still hiring its founding team and works fully in person. Mixpanel founder Suhail Doshi started it, with backing from Y Combinator, 8VC, Caffeinated Capital and angels including Patrick Collison, Adam D'Angelo and Aaron Levie.
Example models: Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash
Full Particle.AI profileShould you choose TypeSafe AI or Particle.AI?
TypeSafe AI
Choose TypeSafe AI for
- Classification that needs answers in 70 to 500ms
- Decisions with calibrated confidence for escalation
- Schema-safe labels with no invalid outputs
Particle.AI
Choose Particle.AI for
- Cheap text generation on Flash-class models
- Long documents with 1M context
- A low-cost route inside Vercel AI Gateway
TypeSafe AI vs Particle.AI at a glance
| Attribute |  TypeSafe AI |  Particle.AI |
|---|---|---|
| Model access | Decision models | Open weights plus its own Particle-1 tune |
| Flagship models | Jev, jev-1.14 | Particle-1, DeepSeek V4.1 Flash, GLM 5.3 Flash |
| Speed | 70–500ms per call | ~110 tok/s on Particle-1 (Vercel AI Gateway) |
| Price | $0.042 per 1M input tokens; output free | $0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1) |
| Customization | Unknown | Unknown |
| Deployment | Early-access API, plus Vercel AI Gateway, OpenRouter and LiteLLM | Serverless API, Vercel AI Gateway |
| Long context | 64K per request, 32K per question | 1M |
Frequently asked questions
What is the difference between TypeSafe AI and Particle.AI?
Particle serves cheap Flash-class LLMs with 1M context; TypeSafe's Jev returns typed decisions in 70 to 500ms. They overlap on classification and little else.
When should I choose TypeSafe AI over Particle.AI?
Classification that needs answers in 70 to 500ms; Decisions with calibrated confidence for escalation; Schema-safe labels with no invalid outputs.
When should I choose Particle.AI over TypeSafe AI?
Cheap text generation on Flash-class models; Long documents with 1M context; A low-cost route inside Vercel AI Gateway.
Is TypeSafe AI or Particle.AI cheaper?
TypeSafe AI: $0.042 per 1M input tokens; output free. Particle.AI: $0.15 in, $0.50 out (GLM 5.3 Flash); $0.25 in, $1 out (Particle-1). The cheaper choice depends on the model and workload.
Which has more context, TypeSafe AI or Particle.AI?
TypeSafe AI: 64K per request, 32K per question. Particle.AI: 1M.
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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.