Research identifier, not a verified public API selector.
Access
Research release. No current public model endpoint, model-weight download or price is established for this exact variant.
Regions
Historical native platform or research access only; no current regional availability is asserted.
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 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.
Moonshot research
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
AIME 2024 Pass@1
Moonshot AI · provider-reported
77.5%
Provider-reported results in Table 2 of arXiv 2501.12599v3 for the long-CoT variant. Dataset split and metric are part of the benchmark name. Not an independent rerun or a claim about a current API.
Provider-reported results in Table 2 of arXiv 2501.12599v3 for the long-CoT variant. Dataset split and metric are part of the benchmark name. Not an independent rerun or a claim about a current API.
Provider-reported results in Table 2 of arXiv 2501.12599v3 for the long-CoT variant. Dataset split and metric are part of the benchmark name. Not an independent rerun or a claim about a current API.
Provider-reported results in Table 2 of arXiv 2501.12599v3 for the long-CoT variant. Dataset split and metric are part of the benchmark name. Not an independent rerun or a claim about a current API.
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 named proprietary API configuration or internal trained research model in official documentation, checked against the developer’s published-weight inventory. Exact weights for this release were not found. Current open-weight Kimi releases are excluded; API branding alone does not establish a separate checkpoint.