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Model infoModelsSnapshot: 15 Oct 2026

SenseTime / SenseChat Turbo

SenseChat-Turbo

Compact language model for fast dialogue and model fine-tuning.

Language models (LLMs)
availableClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 12 Oct 2026
4 of 16 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingSee ratesSenseCore
Output billingSee ratesPublished units and conditions below

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
Maximum output
Not collected
Input modalities
TextSource for Input modalities (opens in a new tab)
Output modalities
TextSource for Output modalities (opens in a new tab)
Reasoning
Not collected
Tool calling
Not collected
Structured output
Not collected
Streaming
SupportedSource for Streaming (opens in a new tab)
Batch processing
Not collected
Fine-tuning
SupportedSource for Fine-tuning (opens in a new tab)

The provider explicitly lists model fine-tuning as a supported use case; job-specific training rates and deployment eligibility remain uncollected.

Knowledge cutoff
Not collected
Release date
Not collected
Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Context caching
Not collected

Access & pricing

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

SenseCore

Provider source (opens in a new tab)
API model ID
SenseChat-Turbo
Access
Provider documents service access with an eligible account and API key. No paid inference was performed.
Regions
Regional deployment and account eligibility must be confirmed with the provider.
API endpoint URL
POST https://api.sensenova.cn/v1/llm/chat-completionsSource for API endpoint URL (opens in a new tab)
Output parameter range
max_new_tokens: 1–2048 in the generic schema; actual limit is model-specificSource for Output parameter range (opens in a new tab)

Not promoted to a universal model maximum.

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 12 Oct 2026
CategoryUsageRateUnit
Text token inferenceInput1CN¥0.00031,000 tokens
Text token inferenceOutput1CN¥0.00061,000 tokens

Rate conditions

  1. Published SenseCore direct API rate, in Chinese yuan per 1,000 tokens. Input and output are separate charges. No currency conversion. Prepaid quota packages, Token Plan credits, cache discounts and enterprise contracts are not included.
Pricing source (opens in a new tab)

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

SenseCore

Provider source (opens in a new tab)
API model ID
SenseChat-Turbo
Access
Provider documents service access with an eligible account and API key. No paid inference was performed.
Regions
Regional deployment and account eligibility must be confirmed with the provider.
API endpoint URL
POST https://api.sensenova.cn/compatible-mode/v2/chat/completionsSource for API endpoint URL (opens in a new tab)

Prices retain their published currencies and billing units below.

Published billing units · original currency · observed 12 Oct 2026
CategoryUsageRateUnit
Text token inferenceInput1CN¥0.00031,000 tokens
Text token inferenceOutput1CN¥0.00061,000 tokens

Rate conditions

  1. Published SenseCore direct API rate, in Chinese yuan per 1,000 tokens. Input and output are separate charges. No currency conversion. Prepaid quota packages, Token Plan credits, cache discounts and enterprise contracts are not included.
Pricing source (opens in a new tab)

Data & enterprise terms

Retention, training use, regional processing and enterprise terms have not been summarized for this endpoint.

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.

SenseCore

SenseChat-Turbo
Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

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

SenseCore

SenseChat-Turbo
Not verified
How it works
Not collected
Minimum reusable input
Not collected
Lifetime & refresh
Not collected
How to enable it
Not collected
Usage fields
Not collected
Billing rules
Not collected
Limits & data boundaries
Not collected

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

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

Classification is an inference from the named native commercial service or licensed edge release, its official access documentation, and cross-checking the developer’s public-weight inventory. The named service weights were not published in the reviewed inventory. This does not classify every SenseNova model as closed: public U1, U1.5, Vision, SI, MARS, InteractiveOmni and Piccolo releases are excluded.

Classification evidence (opens in a new tab)

Sources reviewed