> ## Documentation Index
> Fetch the complete documentation index at: https://wb-21fd5541-wbdocs-1882.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# View reasoning information

> How to return and view reasoning in your W&B Inference responses

Reasoning models, such as [Google's Gemma 4](https://huggingface.co/google/gemma-4-31B-it), return information about their reasoning steps alongside the final answer. This page explains how to identify reasoning-capable models on W\&B Inference, where to find reasoning output in a response, and how to turn reasoning on or off for models that support toggling it.

To determine whether a model supports reasoning, check the following Supported models table or the Supported Features section of its catalog page in the UI.

Reasoning information appears in the `reasoning` field of responses. The value of this field is `null` in the responses of non-reasoning models.

## Supported models with reasoning

The following table lists the models on W\&B Inference that return reasoning output. Each supported model might always include reasoning, or might disable or enable reasoning by default:

| Model ID (for API usage)                       | Reasoning support  |
| ---------------------------------------------- | ------------------ |
| `google/gemma-4-31B-it`                        | Enabled by default |
| `MiniMaxAI/MiniMax-M2.5`                       | Always on          |
| `moonshotai/Kimi-K2.5`                         | Always on          |
| `nvidia/NVIDIA-Nemotron-3-Super-120B-A12B-FP8` | Enabled by default |
| `openai/gpt-oss-120b`                          | Always on          |
| `openai/gpt-oss-20b`                           | Always on          |
| `Qwen/Qwen3.5-35B-A3B`                         | Enabled by default |
| `Qwen/Qwen3-235B-A22B-Thinking-2507`           | Always on          |
| `zai-org/GLM-5.1`                              | Enabled by default |

### Models with `Always on` reasoning

If a model is listed as `Always on` in the preceding [Supported models](#supported-models) table, it always includes reasoning and this cannot be disabled.

### Disable reasoning

If a model is listed as `Enabled by default` in the preceding [Supported models](#supported-models) table, you can disable reasoning to reduce token usage or simplify the response. To opt out of reasoning for a request, in `chat_template_kwargs`, set the `enable_thinking` flag to the value `False` (Python) or `false` (Bash):

<Tabs>
  <Tab title="Python">
    ```python lines highlight={13-17} theme={null}
    import openai

    client = openai.OpenAI(
        base_url='https://api.inference.wandb.ai/v1',
        api_key="[YOUR-API-KEY]",  # Create an API key at https://wandb.ai/settings
    )

    response = client.chat.completions.create(
        model="google/gemma-4-31B-it",
        messages=[
            {"role": "user", "content": "3.11 and 3.8, which is greater?"}
        ],
        extra_body={
            "chat_template_kwargs": {
                "enable_thinking": False
            }
        },
    )
    ```
  </Tab>

  <Tab title="Bash">
    ```bash lines highlight={9} theme={null}
    curl https://api.inference.wandb.ai/v1/chat/completions \
      -H "Content-Type: application/json" \
      -H "Authorization: Bearer [YOUR-API-KEY]" \
      -d '{
        "model": "google/gemma-4-31B-it",
        "messages": [
          { "role": "user", "content": "3.11 and 3.8, which is greater?" }
        ],
        "chat_template_kwargs": {"enable_thinking": false}
      }'
    ```
  </Tab>
</Tabs>

### Enable reasoning

If a model is listed as `Disabled by default` in the preceding [Supported models](#supported-models) table, you can enable reasoning by setting the `enable_thinking` flag to the value `True` (Python) or `true` (Bash) in the preceding code snippet.