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Model infoModelsSnapshot: 15 Oct 2026

Inflection AI / Inflection foundation models

Inflection-2

Second-generation foundation model announced after training, before its planned Pi alignment and deployment.

historicalClosed weightsText generation
Official documentation (opens in a new tab)Reviewed 14 Oct 2026
6 of 19 specification fields collected
Context windowNot collectedAwaiting source review
Maximum outputNot collectedAwaiting source review
Input billingNot collectedInflection research
Output billingNot collectedNo inferred price

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
2023-11-22Source for Release date (opens in a new tab)

Training completion announcement; not a verified public API availability date.

Parameters
Not collected
Architecture
Not collected
Languages
Not collected
Context caching
Not collected
trainingHardware
5,000 NVIDIA H100 GPUsSource for trainingHardware (opens in a new tab)
trainingPrecision
FP8 mixed precisionSource for trainingPrecision (opens in a new tab)
Training hardware
Approximately 10^25 FLOPsSource for Training hardware (opens in a new tab)

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 collected

No public selector verified for this foundation release.

Access
Training announcement with planned Pi deployment. No exact public API selector, release-specific price or downloadable weight artifact is established.
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 research

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

HellaSwag 10-shot

Inflection AI · provider-reported
89%

Score explicitly stated in the release prose. Pre-trained model evaluation; the release cautions that the compared GPT-4 score used a privately held holdout, so the figures are not directly comparable.

Evaluation source (opens in a new tab)

MMLU 5-shot

Inflection AI · provider-reported
79.6%

Provider-reported pre-trained Inflection-2 accuracy without chain-of-thought prompting; the release specifies 5-shot. Not the subsequently aligned Pi product.

Evaluation source (opens in a new tab)

HellaSwag 0-shot

Inflection AI · provider-reported
87.1%

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.

Evaluation source (opens in a new tab)

HellaSwag 1-shot

Inflection AI · provider-reported
87.7%

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.

Evaluation source (opens in a new tab)

PIQA 0-shot

Inflection AI · provider-reported
84.2%

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.

Evaluation source (opens in a new tab)

PIQA 1-shot

Inflection AI · provider-reported
85%

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.

Evaluation source (opens in a new tab)

LAMBADA 1-shot

Inflection AI · provider-reported
86.5%

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.

Evaluation source (opens in a new tab)

ARC-E 1-shot

Inflection AI · provider-reported
91.3%

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.

Evaluation source (opens in a new tab)

ARC-C 1-shot

Inflection AI · provider-reported
70.7%

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.

Evaluation source (opens in a new tab)

Natural Questions 1-shot

Inflection AI · provider-reported
37.3%

Provider-reported closed-book question answering in Inflection-2 release Table 3. Split names and one-shot setting are retained exactly. Inflection-1 entries are historical comparison results.

Evaluation source (opens in a new tab)

TriviaQA Wiki 1-shot

Inflection AI · provider-reported
87.2%

Provider-reported closed-book question answering in Inflection-2 release Table 3. Split names and one-shot setting are retained exactly. Inflection-1 entries are historical comparison results.

Evaluation source (opens in a new tab)

TriviaQA dev 1-shot

Inflection AI · provider-reported
76.2%

Provider-reported closed-book question answering in Inflection-2 release Table 3. Split names and one-shot setting are retained exactly. Inflection-1 entries are historical comparison results.

Evaluation source (opens in a new tab)

MBPP Pass@1

Inflection AI · provider-reported
53%

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.

Evaluation source (opens in a new tab)

HumanEval Pass@1

Inflection AI · provider-reported
44.5%

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.

Evaluation source (opens in a new tab)

GSM8k 8-shot

Inflection AI · provider-reported
81.4%

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.

Evaluation source (opens in a new tab)

MATH

Inflection AI · provider-reported
34.8%

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.

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 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.

Classification evidence (opens in a new tab)

Sources reviewed