No public selector verified for this foundation release.
Access
The announcement identifies Pi access through an adapted model and a planned conversational API. Current access to the exact foundation checkpoint is unverified.
Regions
Current regional availability unverified.
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.
Inflection / Pi (historical)
Not verified
No model-specific cache contract verified.
How it works
Not collected
No model-specific cache contract verified.
Minimum reusable input
Not collected
No model-specific cache contract verified.
Lifetime & refresh
Not collected
No model-specific cache contract verified.
How to enable it
Not collected
No model-specific cache contract verified.
Usage fields
Not collected
No model-specific cache contract verified.
Billing rules
Not collected
No model-specific cache contract verified.
Limits & data boundaries
Not collected
No model-specific cache contract verified.
No verified cache rate for this endpoint. An empty rate is not a zero charge.
What the measurements say
MMLU average across 57 tasks
Inflection AI · provider-reported
72.7%
Provider-reported foundation-model score from the original release. The page distinguishes the unaligned foundation model from the Pi adaptation. The recovered overview chart labels MMLU as 5-shot.
Provider-reported subject-group accuracy in the original Inflection-1 MMLU table. Five-shot setting is shown in the overview figure. Foundation-model evaluation before the Pi adaptation.
Provider-reported subject-group accuracy in the original Inflection-1 MMLU table. Five-shot setting is shown in the overview figure. Foundation-model evaluation before the Pi adaptation.
Provider-reported subject-group accuracy in the original Inflection-1 MMLU table. Five-shot setting is shown in the overview figure. Foundation-model evaluation before the Pi adaptation.
Provider-reported subject-group accuracy in the original Inflection-1 MMLU table. Five-shot setting is shown in the overview figure. Foundation-model evaluation before the Pi adaptation.
Original provider table, closed-book question answering. The original table does not name the TriviaQA split; do not conflate with the later Wiki split. Foundation-model evaluation.
Original provider table, closed-book question answering. The original table does not name the TriviaQA split; do not conflate with the later Wiki split. Foundation-model evaluation.
Original provider table, closed-book question answering. The original table does not name the TriviaQA split; do not conflate with the later Wiki split. Foundation-model evaluation.
Original provider table, closed-book question answering. The original table does not name the TriviaQA split; do not conflate with the later Wiki split. Foundation-model evaluation.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported accuracy in Inflection-2 release Table 2. Shot count retained from the column header. The Inflection-1 row is a historical comparison; no chain-of-thought prompting.
Provider-reported pre-trained model results in Inflection-2 release Table 4. The release uses chain-of-thought for GSM8k only. MATH shot count and scoring details need the linked technical memo; no additional settings are inferred.
Provider-reported pre-trained model results in Inflection-2 release Table 4. The release uses chain-of-thought for GSM8k only. MATH shot count and scoring details need the linked technical memo; no additional settings are inferred.
Provider-reported pre-trained model results in Inflection-2 release Table 4. The release uses chain-of-thought for GSM8k only. MATH shot count and scoring details need the linked technical memo; no additional settings are inferred.
Provider-reported pre-trained model results in Inflection-2 release Table 4. The release uses chain-of-thought for GSM8k only. MATH shot count and scoring details need the linked technical memo; no additional settings are inferred.
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 developer’s in-house model or proprietary API adaptation description and restricted access. The reviewed release supplies no weights for this exact checkpoint; this does not classify its dependencies or openly released base models as closed.
