/ Baichuan AI / Baichuan4-Finance Baichuan AI / Baichuan finance
Baichuan4-Finance Finance-domain chat model aligned with supervised fine-tuning and human/AI feedback.
restricted Closed weights Text generation
Context window Not collected Awaiting source review
Maximum output Not collected Awaiting source review
Input billing Not collected Baichuan native platform
Output billing Not collected No inferred price
Specifications Access & pricing Caching Evaluation Sources & lifecycle
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
Reasoning Not collected
Tool calling Not collected
Structured output Not collected
Streaming Not collected
Batch processing Not collected
Fine-tuning Not collected
Knowledge cutoff Not collected
Release date Not collected
Parameters 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.
API model ID Not collectedNo exact public API selector established.
Access Enterprise model offered through contact-based cooperation; exact serving contract, public selector and prices unverified.
Regions Native China platform. No additional regional endpoint or residency guarantee inferred. Endpoint pricing has not been collected. Check the provider for applicable rates.
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 INPUT Process & retain The system processes eligible input and retains reusable state.
02 / LATER REQUEST Check available state Reuse depends on matching input, session state and the cache policy.
03 / CACHE HIT Reuse & generate Reusing state can reduce repeated work. Any charges follow the billing rules below.
Baichuan native platform Not verified No model-specific prompt-cache contract or price verified.
How it works Not collected No model-specific prompt-cache contract or price verified.
Minimum reusable input Not collected No model-specific prompt-cache contract or price verified.
Lifetime & refresh Not collected No model-specific prompt-cache contract or price verified.
How to enable it Not collected No model-specific prompt-cache contract or price verified.
Usage fields Not collected No model-specific prompt-cache contract or price verified.
Billing rules Not collected No model-specific prompt-cache contract or price verified.
Limits & data boundaries Not collected No model-specific prompt-cache contract or price verified.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
What the measurements say
FLAME-Cer zero-shot accuracy Baichuan AI · provider-reported 93.62% Provider-reported results from arXiv 2412.15270v1. Table 1 reported aggregate; do not substitute an arithmetic mean of category scores.
Evaluation source (opens in a new tab)
FLAME-Sce aggregate Baichuan AI · provider-reported 84.15score Provider-reported results from arXiv 2412.15270v1. Table 2 aggregate across scenario tasks; not a single classification accuracy.
Evaluation source (opens in a new tab)
FinanceIQ zero-shot accuracy Baichuan AI · provider-reported 79.23% Provider-reported results from arXiv 2412.15270v1. Table 3 aggregate across financial certification tasks.
Evaluation source (opens in a new tab) 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 Inferred from the provider’s named proprietary API or internally trained research release, checked against its public weight inventory. No exact weights for this variant were found; similarly named open-weight Baichuan releases are excluded.
Classification evidence (opens in a new tab) Lifecycle dates Sources reviewed 