UI model name only; no verified public raw-inference selector.
Access
IDE-based managed deployment. Enterprise agreement and administrator settings determine the exact model revision and entitlements.
Regions
No model-specific serving-region inventory verified.
Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms
For Tabnine-owned models, the documentation says inference code context is discarded after response and is not used for general model training. Optional private customer fine-tuning is separate. Operational metrics/logs are retained for one week; self-hosted installations send support telemetry, while air-gapped installations can use customer monitoring. This is not zero retention for every data category.
UI model name only; no verified public raw-inference selector.
Access
IDE-based managed deployment. Enterprise agreement and administrator settings determine the exact model revision and entitlements.
Regions
Customer deployment; exact supported locations and hardware are contractual.
Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms
For Tabnine-owned models, the documentation says inference code context is discarded after response and is not used for general model training. Optional private customer fine-tuning is separate. Operational metrics/logs are retained for one week; self-hosted installations send support telemetry, while air-gapped installations can use customer monitoring. This is not zero retention for every data category.
UI model name only; no verified public raw-inference selector.
Access
IDE-based managed deployment. Enterprise agreement and administrator settings determine the exact model revision and entitlements.
Regions
Customer deployment; exact supported locations and hardware are contractual.
Endpoint pricing has not been collected. Check the provider for applicable rates.
Data & enterprise terms
For Tabnine-owned models, the documentation says inference code context is discarded after response and is not used for general model training. Optional private customer fine-tuning is separate. Operational metrics/logs are retained for one week; self-hosted installations send support telemetry, while air-gapped installations can use customer monitoring. This is not zero retention for every data category.
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.
Tabnine · Secure SaaS
Not verified
No model-specific prompt-cache contract or billed cache tariff established.
How it works
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Minimum reusable input
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Lifetime & refresh
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
How to enable it
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Usage fields
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Billing rules
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Limits & data boundaries
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 15 Oct 2026
Tabnine · private VPC / on-premises
Not verified
No model-specific prompt-cache contract or billed cache tariff established.
How it works
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Minimum reusable input
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Lifetime & refresh
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
How to enable it
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Usage fields
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Billing rules
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Limits & data boundaries
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 15 Oct 2026
Tabnine · air-gapped private installation
Not verified
No model-specific prompt-cache contract or billed cache tariff established.
How it works
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Minimum reusable input
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Lifetime & refresh
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
How to enable it
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Usage fields
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Billing rules
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
Limits & data boundaries
Not collected
No model-specific prompt-cache contract or billed cache tariff established.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
Caching reviewed 15 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
Managed interface to Tabnine-owned proprietary models. The current underlying checkpoint is not version-pinned; this is not an additional distinct base-weight release.
