> ## Documentation Index
> Fetch the complete documentation index at: https://docs.zespan.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Supported models and pricing

> All LLM models supported by Zespan's built-in pricing table, with per-token costs for input, output, and cached tokens used in cost_usd calculation.

The Zespan SDK computes `cost_usd` client-side using a built-in pricing table. This page lists all models currently in that table. If you use a model not listed here, `cost_usd` will be `0` — see [Unsupported models](#unsupported-models) for how to handle this.

<Note>
  Pricing in this table reflects public list prices as of the documentation date. Provider prices change regularly. Zespan updates the SDK pricing table with each release. To get the latest rates, update to the newest SDK version.
</Note>

## OpenAI

| Model                    | Input (per 1M tokens) | Output (per 1M tokens) | Cached input |
| ------------------------ | --------------------- | ---------------------- | ------------ |
| `gpt-4o`                 | \$2.50                | \$10.00                | \$1.25       |
| `gpt-4o-2024-08-06`      | \$2.50                | \$10.00                | \$1.25       |
| `gpt-4o-mini`            | \$0.15                | \$0.60                 | \$0.075      |
| `gpt-4o-mini-2024-07-18` | \$0.15                | \$0.60                 | \$0.075      |
| `gpt-4-turbo`            | \$10.00               | \$30.00                | —            |
| `gpt-4-turbo-2024-04-09` | \$10.00               | \$30.00                | —            |
| `gpt-3.5-turbo`          | \$0.50                | \$1.50                 | —            |
| `o1`                     | \$15.00               | \$60.00                | \$7.50       |
| `o1-mini`                | \$3.00                | \$12.00                | \$1.50       |
| `o3-mini`                | \$1.10                | \$4.40                 | \$0.55       |
| `text-embedding-3-small` | \$0.02                | —                      | —            |
| `text-embedding-3-large` | \$0.13                | —                      | —            |
| `text-embedding-ada-002` | \$0.10                | —                      | —            |

## Anthropic

| Model                        | Input (per 1M tokens) | Output (per 1M tokens) | Cache read | Cache write |
| ---------------------------- | --------------------- | ---------------------- | ---------- | ----------- |
| `claude-opus-4-7`            | \$15.00               | \$75.00                | \$1.50     | \$18.75     |
| `claude-sonnet-4-6`          | \$3.00                | \$15.00                | \$0.30     | \$3.75      |
| `claude-haiku-4-5-20251001`  | \$0.80                | \$4.00                 | \$0.08     | \$1.00      |
| `claude-3-5-sonnet-20241022` | \$3.00                | \$15.00                | \$0.30     | \$3.75      |
| `claude-3-5-haiku-20241022`  | \$0.80                | \$4.00                 | \$0.08     | \$1.00      |
| `claude-3-opus-20240229`     | \$15.00               | \$75.00                | \$1.50     | \$18.75     |

## Google Gemini

### Text generation

| Model                                 | Input (per 1M tokens) | Output (per 1M tokens) | Cached input |
| ------------------------------------- | --------------------- | ---------------------- | ------------ |
| `gemini-2.5-pro`                      | \$1.25                | \$10.00                | \$0.31       |
| `gemini-2.5-pro-preview-05-06`        | \$1.25                | \$10.00                | \$0.31       |
| `gemini-2.5-pro-preview-06-05`        | \$1.25                | \$10.00                | \$0.31       |
| `gemini-2.5-flash`                    | \$0.30                | \$2.50                 | \$0.075      |
| `gemini-2.5-flash-preview-04-17`      | \$0.15                | \$0.60                 | \$0.038      |
| `gemini-2.5-flash-lite`               | \$0.075               | \$0.30                 | \$0.019      |
| `gemini-2.5-flash-lite-preview-06-17` | \$0.075               | \$0.30                 | \$0.019      |
| `gemini-3.1-flash`                    | \$0.30                | \$2.50                 | \$0.075      |
| `gemini-3.1-flash-live-preview`       | \$1.00                | \$4.00                 | \$0.25       |
| `gemini-2.0-flash`                    | \$0.10                | \$0.40                 | \$0.025      |
| `gemini-2.0-flash-lite`               | \$0.075               | \$0.30                 | \$0.019      |
| `gemini-2.0-pro-exp`                  | Free                  | Free                   | —            |
| `gemini-1.5-pro`                      | \$1.25                | \$5.00                 | \$0.31       |
| `gemini-1.5-flash`                    | \$0.075               | \$0.30                 | \$0.019      |
| `gemini-1.5-flash-8b`                 | \$0.038               | \$0.15                 | \$0.010      |

### Image generation (`span_kind: image_gen`)

Image models return image bytes rather than text tokens. Cost is per image generated and is recorded as `input_tokens = image_count` with `output_tokens = 0`.

| Model                    | Price per image |
| ------------------------ | --------------- |
| `gemini-3.1-flash-image` | \$0.50          |
| `gemini-2.5-flash-image` | \$0.30          |

### Text-to-speech

| Model                          | Input (per 1M tokens) | Output (per 1M tokens) | Cached input |
| ------------------------------ | --------------------- | ---------------------- | ------------ |
| `gemini-2.5-flash-tts`         | \$0.50                | \$1.00                 | \$0.125      |
| `gemini-2.5-flash-preview-tts` | \$0.50                | \$1.00                 | \$0.125      |

### Video generation — Veo (`span_kind: video_gen`)

Veo models use per-second output pricing. Zespan records `cost_usd: 0` and tracks latency of the initiation call. Compute the actual cost from your Google Cloud billing.

| Model                           |
| ------------------------------- |
| `veo-3.1-generate-preview`      |
| `veo-3.1-fast-generate-preview` |
| `veo-3.1-lite-generate-preview` |
| `veo-3.0-generate-preview`      |
| `veo-2.0-generate-001`          |

### Embeddings (`span_kind: embedding`)

| Model                  | Input (per 1M tokens) |
| ---------------------- | --------------------- |
| `gemini-embedding-2`   | \$0.20                |
| `gemini-embedding-001` | \$0.15                |
| `text-embedding-004`   | \$0.10                |

## AWS Bedrock

| Model                          | Input (per 1M tokens) | Output (per 1M tokens) |
| ------------------------------ | --------------------- | ---------------------- |
| `amazon.nova-lite-v1:0`        | \$0.06                | \$0.24                 |
| `amazon.nova-micro-v1:0`       | \$0.035               | \$0.14                 |
| `amazon.nova-pro-v1:0`         | \$0.80                | \$3.20                 |
| `amazon.titan-text-express-v1` | \$0.20                | \$0.60                 |
| `amazon.titan-text-lite-v1`    | \$0.15                | \$0.20                 |

## Mistral

| Model                   | Input (per 1M tokens) | Output (per 1M tokens) |
| ----------------------- | --------------------- | ---------------------- |
| `mistral-large-latest`  | \$2.00                | \$6.00                 |
| `mistral-small-latest`  | \$0.20                | \$0.60                 |
| `mistral-7b-instruct`   | \$0.25                | \$0.25                 |
| `mixtral-8x7b-instruct` | \$0.70                | \$0.70                 |

## Groq (hosted models)

| Model                     | Input (per 1M tokens) | Output (per 1M tokens) |
| ------------------------- | --------------------- | ---------------------- |
| `llama-3.3-70b-versatile` | \$0.59                | \$0.79                 |
| `llama-3.1-8b-instant`    | \$0.05                | \$0.08                 |
| `mixtral-8x7b-32768`      | \$0.24                | \$0.24                 |
| `gemma2-9b-it`            | \$0.20                | \$0.20                 |

***

## Unsupported models

If your model is not in the table, the SDK sets `cost_usd: 0` and logs a warning at `debug` level. Your traces will still appear in the dashboard — only the cost column will be blank.

**To add cost tracking for an unsupported model**, you have two options:

**Option 1 — Compute and pass cost manually:**

```typescript theme={"theme":{"light":"github-light","dark":"one-dark-pro"}}
const response = await myCustomModel.complete(prompt);

const { span } = startSpan({
  name: "custom-model-call",
  model: "my-custom-model",
  provider: "custom",
});

await span.end({
  status: "success",
  input_tokens: response.usage.input,
  output_tokens: response.usage.output,
  cost_usd: (response.usage.input * 0.002 + response.usage.output * 0.006) / 1000,
});
```

**Option 2 — Request model support:** Open an issue on [GitHub](https://github.com/zespan) with the model name and public pricing URL. New models are typically added within one release cycle.

***

## Cached token pricing

Cached tokens are billed at a reduced rate when the model provider serves them from its prompt cache. Zespan extracts cached token counts automatically:

* **OpenAI:** `response.usage.prompt_tokens_details.cached_tokens`
* **Anthropic:** `response.usage.cache_read_input_tokens`
* **Google:** `response.usageMetadata.cachedContentTokenCount`

The cost formula used by the SDK:

```
cost_usd = (input_tokens × input_price
           + output_tokens × output_price
           + cached_tokens × cached_price) ÷ 1,000,000
```