ABEJA

ABEJA develops Japanese language models and enterprise AI systems. Its public model releases are distinct from earlier private GPT models and unpublished specialist research checkpoints.

Original Japanese GPT 6.7B and 13B models, plus the two selected Nemotron 3 Nano SFT research checkpoints reported in September 2026. Public GPT, Mixtral and Qwen releases are excluded; training experiments do not establish commercial APIs.

Closed-weight models

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Input tokensOutput tokens

Estimate = (input tokens × input price + output tokens × output price) / 1,000,000. Include conversation history in input and billed reasoning in output. Input-only decision models ignore the output setting; enter all billed input for one decision, including its question and criteria. Media, tools and discounts are separate.

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Model input and output limits, prices and estimated cost per question at the selected token counts.
Input tokensPublished limit*	Output tokensMaximum per response*	Input pricePer 1M tokens	Cost per question1,000 input + 500 outputEstimated · uncached
Not collected	Not collected	Usage pricingNot collected	Needs rate detailsPrice details ↗
Not collected	Not collected	Usage pricingNot collected	Needs rate detailsPrice details ↗
Not collected	Not collected	Usage pricingNot collected	Needs rate detailsPrice details ↗
Not collected	Not collected	Usage pricingNot collected	Needs rate detailsPrice details ↗

* Media models show their native limits. A shared context window includes both input and output tokens.

Original currency and billing unit, without currency conversion. Rates are dated snapshots; open the conditions for tiers, promotions and endpoint restrictions.How to read the data

Catalog coverage

Closed-weight model variants and explicitly identified closed-source managed model components across language, code, image, video, audio and other documented modalities. Global provider and historical-release coverage is being expanded; this is not yet exhaustive. 172 company reviews are still open.

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