# Models and Usage

Bkper AI includes access to selected AI models with eligible Bkper plans. Sign in with Bkper instead of setting up separate provider accounts or API keys. Use the models through the Bkper CLI Agent or another compatible client, with usage tracked against one monthly allowance.

To configure authentication, endpoints, and compatible clients, see [Bkper AI Provider](http://preview.bkper.com/docs/ai/bkper-ai-provider.md).

## Choose a model

Choose a model based on its workload, cost, and capabilities. Clients can request lower output budgets and any reasoning effort listed for the selected model.

Public IDs identify stable Bkper model families. Bkper can upgrade the concrete provider revision behind a family without changing its public ID, saved client configuration, or usage-report identity.

| Model | Best for | Capabilities |
| --- | --- | --- |
| **DeepSeek Flash** `deepseek-flash` | Fast, economical reasoning, coding, and long-context work. | Reasoning efforts: `high`, `max`<br />Maximum context: 300k tokens<br />Maximum output: 64k tokens |
| **Gemini Flash** `gemini-flash` | Fast multimodal reasoning and tool use with balanced usage rates. | Reasoning efforts: `minimal`, `low`, `medium`<br />Maximum context: 1,048,576 tokens<br />Maximum output: 65,536 tokens |
| **GPT Luna** `gpt-luna` | Cost-efficient GPT model for fast, high-volume workloads. | Reasoning efforts: `high`, `xhigh`, `max`<br />Maximum context: 272k tokens<br />Maximum output: 64k tokens |
| **GPT Terra** `gpt-terra` | Balanced GPT model for capable, cost-efficient everyday work. | Reasoning efforts: `high`<br />Maximum context: 200k tokens<br />Maximum output: 32k tokens |
| **Grok** `grok` | General-purpose model for chat, coding, and agentic tool use. | Reasoning efforts: `low`, `medium`, `high`<br />Maximum context: 200k tokens<br />Maximum output: 32k tokens |

The table shows each model's maximum supported capabilities through Bkper AI. Bkper CLI loads the current context window, output limit, and reasoning profile for every model from the live catalog. Compatible clients can request lower output budgets and any listed reasoning effort.

## How usage works

Bkper AI is included with eligible plans and controlled through one monthly allowance:

- The Bkper CLI Agent connects with your Bkper login; no separate provider setup is required.
- Model usage reduces the included allowance and is not billed separately.
- New requests stop when the recorded allowance is exhausted; there are no automatic paid overages.
- External providers remain available where supported and do not consume the Bkper AI allowance.

Requests already in flight may settle after the allowance check, so recorded usage can slightly exceed the limit under concurrency. Bkper does not bill that difference as an AI overage.

## Usage rates

Usage rates reduce the included monthly allowance. They are not billed separately by Bkper.

**USD of included usage per one million tokens**

| Model | Input | Cache read | Cache write | Output |
| --- | ---: | ---: | ---: | ---: |
| DeepSeek Flash | $0.18 | $0.035 | $0.00 | $0.35 |
| Gemini Flash | $1.90 | $0.19 | $0.00 | $9.40 |
| GPT Luna | $0.25 | $0.025 | $0.31 | $1.50 |
| GPT Terra | $2.50 | $0.25 | $3.10 | $15.00 |
| Grok | $2.50 | $0.38 | $0.00 | $7.50 |

Input means tokens sent without a cache match. Cache read means reused input already stored by the provider. Cache write means input added to a provider cache. Output includes generated response and reasoning tokens reported by the provider.

## Monthly allowance

For paid plans, the monthly AI allowance equals the normalized monthly software subscription value:

- Monthly plans use the recurring monthly software subscription value.
- Annual plans divide the recurring annual software subscription value by 12.

Only recurring software subscription value counts. Professional services, implementation, consulting, taxes, one-time charges, credits, refunds, and prorations do not increase the allowance. Free users receive a separately configured trial allowance.

The allowance resets monthly and unused value does not roll over. It is an inference entitlement—not cash, refund value, or transferable credit. The authenticated [Bkper AI usage dashboard](https://ai.bkper.app) shows your exact current allowance.

## Individual and pooled usage

Allowance scope follows the subscription:

- Free and Standard usage is assigned to the individual user.
- Business and Professional usage can be pooled when the subscription has domain-wide scope.
- Everyone sharing a pooled allowance reduces the same monthly total.

A pooled allowance does not make every user's request history visible to everyone. Visibility depends on the viewer's billing role.

## Usage visibility and privacy

The [Bkper AI usage dashboard](https://ai.bkper.app) separates allowance visibility from request attribution:

- Regular users see the shared allowance remaining and their own requests and usage.
- The billing or subscription administrator sees domain-wide usage attributed by user, AI model, and app or source.
- The dashboard does not expose prompts or responses.

Usage value is an estimate based on the published rates above. It shows how much of the included allowance a request consumed; it is not a separate Bkper charge.

## When the limit is reached

Bkper AI blocks new allowance-backed requests once the recorded monthly allowance is exhausted. There are **no automatic paid Bkper AI overages at launch**.

Bkper AI is not a lock-in: where supported, you can connect an external model provider at any time. External subscriptions, API keys, charges, privacy terms, and limits are governed by that provider and do not use the included Bkper AI allowance.

## How Bkper selects models

We build Bkper with the Bkper CLI Agent and use it every day. We test many models through real work and include only those that consistently work well for us within our cost and control constraints. The catalog is a practical, opinionated shortlist—not a directory of every available model.

Bkper prioritizes strong results at controlled cost — the efficient frontier of capability per dollar — rather than pursuing the highest benchmark score at any price. Selection also considers:

- results and reliability in daily agent workflows;
- effective model capabilities and tool use;
- observed usage cost;
- model capabilities and controls;
- public benchmarks.

[Explore the live DeepSWE leaderboard](https://deepswe.datacurve.ai/).

DeepSWE measures long-horizon software-engineering work. It is one input into model selection, not a measure of accounting accuracy or a guarantee of performance in Bkper workflows.

## Model creators

| Model | Creator |
| --- | --- |
| DeepSeek Flash | [DeepSeek](https://www.deepseek.com/) |
| Gemini Flash | [Google](https://ai.google.dev/gemini-api/docs/models) |
| GPT Luna | [OpenAI](https://openai.com/api/) |
| GPT Terra | [OpenAI](https://openai.com/api/) |
| Grok | [xAI](https://x.ai/api) |

## Sources

Last synchronized: **2026-08-21**

- [Bkper AI capability catalog](https://ai.bkper.app/v1/models)
- [Models.dev provider assets](https://models.dev/)
- [DeepSWE live leaderboard](https://deepswe.datacurve.ai/)

Models.dev provider assets are provided under the MIT License. Model creator names and logos remain trademarks of their respective owners.

## Next steps

- [Browse the generated AI API reference](http://preview.bkper.com/docs/api/ai.md).
- [Connect a client to Bkper AI](http://preview.bkper.com/docs/ai/bkper-ai-provider.md).
- [Open the Bkper AI usage dashboard](https://ai.bkper.app).
- [Use the preconfigured Bkper CLI Agent](http://preview.bkper.com/docs/ai/bkper-cli-agent.md).