# Labels
URL: /reference/llm-providers/labels

<Callout type="warning" title="Potential Streaming Issues">
  Streaming may behave inconsistently in models other than **OpenAI**. We're
  aware of the issue and are actively working on a fix. Please proceed with
  caution when using streaming on non-OpenAI models.
</Callout>

Models in tambo carry a **status label**, shown when you select a model from the LLM settings\
(**Dashboard → Project → Settings → LLM Providers**).

### Why Use Labels?

* **Set expectations**: Understand tambo’s confidence level for each model.
* **Guide selection**: Prefer `tested` models for production; approach others with care.
* **Highlight caveats**: `known-issues` labels call out specific behaviors we've observed.

### Label Definitions

| Label          | Meaning                                                            |
| -------------- | ------------------------------------------------------------------ |
| `tested`       | Validated on common tambo tasks. Recommended for most workflows.   |
| `untested`     | Available, but not yet validated. Use it—but test in your context. |
| `known-issues` | Usable, but we’ve observed behaviors worth noting (see below).     |

### Provider-Specific Notes

For detailed information about each model, including status, capabilities, and observed behaviors, see the provider-specific pages:

* **[OpenAI Models](/reference/llm-providers/openai)** - Notes on GPT-5.1, GPT-5.1 Chat Latest, GPT-4.1 Nano, and other untested models
* **[Anthropic Models](/reference/llm-providers/anthropic)** - Claude 4.5, 4.1, and 4 family models
* **[Google Models](/reference/llm-providers/google)** - Known issues with Gemini rendering consistency and untested Gemini 3.0 models
* **[Groq Models](/reference/llm-providers/groq)** - Notes on untested Llama 4 Scout and Maverick models
* **[Mistral Models](/reference/llm-providers/mistral)** - Known issues with Mistral Large 2.1 and Medium 3 rendering

Each provider page includes complete model information, configuration guidance, and specific notes about observed behaviors during testing.

<Callout type="info" title="Production Guidance">
  For production-critical formatting, use **Tested** models and validate
  outputs. When using **Untested** or **Known Issues** models, run a small
  prompt suite to check behavior in your specific workload.
</Callout>

### Usage Patterns

* **Prefer `tested`** models for reliability. If using others, test with your use case.
* **Use inline notes** in the picker to spot caveats quickly.

### Integration

You can change providers and models at the project level under **LLM Provider Settings**. tambo will apply your token limits and defaults accordingly.