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Model infoModelsSnapshot: 15 Oct 2026

Cadence / ChipStack / ChipStack design and verification

ChipStack Verification RFT (o3-mini)

Private reinforcement-fine-tuned o3-mini variant evaluated for connecting chip-design interfaces to verification components.

historicalClosed weightsCoding
Official documentation (opens in a new tab)Reviewed 16 Oct 2026
6 of 18 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedCadence / ChipStack
Output billingNot collectedNo inferred price

Specifications

Provider-documented facts. “Not collected” means we have not verified that field yet, not that the feature is unsupported.

Context / input limit
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Maximum input tokens
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Maximum output
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Parameters
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Release date
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Knowledge cutoff
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Tool calling
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Structured output
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Streaming
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Batch processing
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Fine-tuning
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Reasoning
SupportedSource for Reasoning (opens in a new tab)

Reasoning lineage is documented; public effort controls are not.

Context caching
Not collected

No reviewed model-specific inference contract. Unknown does not mean unsupported.

Base model
OpenAI o3-miniSource for Base model (opens in a new tab)

Explicitly identified training variant in the case study; not a claim about the current ChipStack product backbone.

Architecture
Reinforcement-fine-tuned reasoning model for verification-interface binding.Source for Architecture (opens in a new tab)
Output formats
Interface-name to signal-value mappings assessed with a multiset precision/recall F1 grader.Source for Output formats (opens in a new tab)

Task output format does not establish a general structured-output API.

Access & pricing

Prices belong to an endpoint and billing tier. A provider listing does not guarantee access for every account or region.

API model ID
Not collected

No public model selector established.

Access
Historical private RFT evaluation. Current access to this exact trained variant is unverified; historical does not assert retirement.
Regions
Model-specific processing and deployment regions require confirmation.

Endpoint pricing has not been collected. Check the provider for applicable rates.

Data & enterprise terms

The public Cadence privacy page explains DPA scope, including vendor processing for Cadence. It does not establish a ChipStack inference-specific retention, training-use or region contract.

Read the service policy (opens in a new tab)

Caching

Caching can reuse earlier input processing. Availability, lifetime and billing depend on the endpoint. A cache hit still generates a new response.

01 / INITIAL INPUTProcess & retain

The system processes eligible input and retains reusable state.

02 / LATER REQUESTCheck available state

Reuse depends on matching input, session state and the cache policy.

03 / CACHE HITReuse & generate

Reusing state can reduce repeated work. Any charges follow the billing rules below.

Cadence / ChipStack

Not verified

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

How it works
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

Minimum reusable input
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

Lifetime & refresh
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

How to enable it
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

Usage fields
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

Billing rules
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

Limits & data boundaries
Not collected

No reviewed model inference-cache contract. Shared design context and reusable sandbox blueprints are not proof of prompt caching.

No verified cache rate for this endpoint. An empty rate is not a zero charge.

Caching reviewed 16 Oct 2026

What the measurements say

No benchmark observations have been added for this model. We do not turn a vendor description into a performance score.

Latency and throughput depend on the host, request size, reasoning settings and load. There is no measured speed or global usage figure in this record.

The record behind the model

Why it is included

Official OpenAI case study documents a privately trained reinforcement-fine-tuned model. No public derivative weights or exact standalone checkpoint selector established.

Classification evidence (opens in a new tab)

Sources reviewed