SambaNova vs TypeSafe AI

SambaNova streams text fast from large open LLMs. TypeSafe AI's Jev returns typed decisions with calibrated confidence in 70 to 500ms. Generation and decision are different jobs.

By The Subconscious Team · Updated October 29, 2026

SambaNova vs TypeSafe AI: key differences

TypeSafe AI's Jev answers questions with a typed choice instead of prose. A developer defines the answer space with primitives like Choice and Score, and Jev returns a typed answer, calibrated probabilities and a confidence score in 70 to 500ms. It evaluates all options in one pass, so it cannot return a value outside the schema. SambaNova serves large open LLMs such as MiniMax M3 and GPT-OSS 120B and competes on how fast it can decode long generations. Its three-tier memory lets one system hold very large models and switch between them in milliseconds.

They slot into the same agent at different points. Jev can route a prompt to the right model, grade a tool call or flag a jailbreak, while the model on SambaCloud writes the code or the answer. Using a fast LLM for a yes-or-no gate still costs a full generation call, which is the gap TypeSafe targets. Jev is still early access, accepts only text and asks developers to adopt new primitives. SambaNova's catalog is smaller than GPU clouds and its top speed figures are vendor benchmarks.

What SambaNova and TypeSafe AI do

SambaNova

SambaNova designs its own inference chip, the Reconfigurable Dataflow Unit, and sells fast tokens on large open models through SambaCloud. The RDU maps the model graph onto the chip to cut trips to off-chip memory. A three-tier memory design of SRAM, HBM and bulk DRAM lets one system host very large models and hot swap between several of them in milliseconds. SambaCloud serves models like MiniMax M3 (in preview with a 1M context), DeepSeek V3.1, Llama 3.3 70B, Gemma 4 31B and GPT-OSS 120B, with speeds reported by Artificial Analysis.

Example models: MiniMax M3, GPT-OSS 120B, DeepSeek V3.1

Full SambaNova 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 profile

Should you choose SambaNova or TypeSafe AI?

SambaNova

Choose SambaNova for

Fast long-form generation on large open models.
Interactive coding agents and copilots.
Agents that switch models mid-task.

TypeSafe AI

Choose TypeSafe AI for

Routing and classification in 70 to 500ms.
Guardrails that escalate when confidence drops.
Outputs that must always match a schema.

SambaNova vs TypeSafe AI at a glance

Attribute	SambaNova	TypeSafe AI
Model access	Open weights	Decision models
Flagship models	MiniMax M3, GPT-OSS 120B, DeepSeek V3.1	Jev, jev-1.14
Speed	~800 tok/s on MiniMax M2.7 (SN50, SemiAnalysis)	70–500ms per call
Price	$0.22 in, $0.59 out (GPT-OSS 120B)	$0.042 per 1M input tokens; output free
Customization	Unknown	Unknown
Deployment	SambaCloud, racks for neoclouds	Early-access API, plus Vercel AI Gateway, OpenRouter and LiteLLM
Long context	Up to 1M (MiniMax M3, preview)	64K per request, 32K per question

Frequently asked questions

What is the difference between SambaNova and TypeSafe AI?

SambaNova streams text fast from large open LLMs. TypeSafe AI's Jev returns typed decisions with calibrated confidence in 70 to 500ms. Generation and decision are different jobs.

When should I choose SambaNova over TypeSafe AI?

Fast long-form generation on large open models; Interactive coding agents and copilots; Agents that switch models mid-task.

When should I choose TypeSafe AI over SambaNova?

Routing and classification in 70 to 500ms; Guardrails that escalate when confidence drops; Outputs that must always match a schema.

Is SambaNova or TypeSafe AI cheaper?

SambaNova: $0.22 in, $0.59 out (GPT-OSS 120B). TypeSafe AI: $0.042 per 1M input tokens; output free. The cheaper choice depends on the model and workload.

Which has more context, SambaNova or TypeSafe AI?

SambaNova: Up to 1M (MiniMax M3, preview). TypeSafe AI: 64K per request, 32K per question.

Related comparisons

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.

Subconscious vs SambaNova Subconscious vs TypeSafe AI