[Obs AI Assistant] Add LLM performance matrix docs

solutions/observability/connect-to-own-local-llm.md

@@ -19,6 +19,10 @@ If your Elastic deployment is not on the same network, you must configure an Ngi
 You do not have to set up a proxy if LM Studio is running locally, or on the same network as your Elastic deployment. 
 ::::
 
+::::{note}
+For information about the performance of open-source models on {{obs-ai-assistant}} tasks, refer to the [LLM performance matrix](/solutions/observability/llm-performance-matrix.md).
+::::
+
 This example uses a server hosted in GCP to configure LM Studio with the [Llama-3.3-70B-Instruct](https://huggingface.co/lmstudio-community/Llama-3.3-70B-Instruct-GGUF) model.
 
 ### Already running LM Studio? [skip-if-already-running]

solutions/observability/llm-performance-matrix.md

@@ -0,0 +1,58 @@
+---
+mapped_pages:
+  - https://www.elastic.co/guide/en/observability/current/observability-llm-performance-matrix.html
+applies_to:
+  stack: ga 9.2
+  serverless: ga
+products:
+  - id: observability
+---
+
+# Large language model performance matrix
+
+_Last updated: 4 September 2025_
+
+This page summarizes internal test results comparing large language models (LLMs) across {{obs-ai-assistant}} use cases. To learn more about these use cases, refer to [AI Assistant](/solutions/observability/observability-ai-assistant.md).
+
+::::{important}
+Rating legend:
+
+**Excellent:** Highly accurate and reliable for the use case.<br>
+**Great:** Strong performance with minor limitations.<br>
+**Good:** Possibly adequate for many use cases but with noticeable tradeoffs.<br>
+**Poor:** Significant issues; not recommended for production for the use case.
+
+Recommended models are those rated **Excellent** or **Great** for the particular use case.
+::::
+
+## Proprietary models [_proprietary_models]
+
+Models from third-party LLM providers.
+
+| Provider | Model | **Alert questions** | **APM questions** | **Contextual insights** | **Documentation retrieval** | **Elasticsearch operations** | **{{esql}} generation** | **Execute connector** | **Knowledge retrieval** |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| Amazon Bedrock | **Claude Sonnet 3.5** | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | Great | Excellent |
+| Amazon Bedrock | **Claude Sonnet 3.7** | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent |
+| Amazon Bedrock | **Claude Sonnet 4**   | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent |
+| OpenAI    | **GPT-4.1**           | Excellent | Excellent | Excellent | Excellent | Excellent | Excellent | Great | Excellent |
+| Google Gemini    | **Gemini 2.0 Flash**  | Excellent | Good | Great | Excellent | Excellent | Great | Great | Excellent |
+| Google Gemini    | **Gemini 2.5 Flash**  | Excellent | Great | Excellent | Excellent | Excellent | Great | Great | Excellent |
+| Google Gemini    | **Gemini 2.5 Pro**    | Excellent | Excellent | Excellent | Excellent | Great | Great | Excellent | Excellent |
+
+
+## Open-source models [_open_source_models]
+
+Models you can [deploy and manage yourself](/solutions/observability/connect-to-own-local-llm.md).
+
+| Provider | Model | **Alert questions** | **APM questions** | **Contextual insights** | **Documentation retrieval** | **Elasticsearch operations** | **{{esql}} generation** | **Execute connector** | **Knowledge retrieval** |
+| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |
+| Meta | **Llama-3.3-70B-Instruct** | Excellent | Good | Great | Excellent | Excellent | Great | Great | Excellent |
+| Mistral | **Mistral-Small-3.2-24B-Instruct-2506** | Excellent | Good | Great | Excellent | Excellent | Poor | Great | Excellent |
+
+::::{note}
+`Llama-3.3-70B-Instruct` is currently supported with simulated function calling.
+::::
+
+## Evaluate your own model
+
+You can run the {{obs-ai-assistant}} evaluation framework against any model, and use it to benchmark a custom or self-hosted model against the use cases in the matrix. Refer to the [evaluation framework README](https://github.com/elastic/kibana/blob/main/x-pack/solutions/observability/plugins/observability_ai_assistant_app/scripts/evaluation/README.md) for setup and usage details.

solutions/observability/observability-ai-assistant.md

@@ -91,6 +91,11 @@ The AI Assistant connects to one of these supported LLM providers:
    - The provider's API endpoint URL
    - Your authentication key or secret
 
+::::{admonition} Recommended models
+While the AI Assistant is compatible with many different models, refer to the [Large language model performance matrix](/solutions/observability/llm-performance-matrix.md) to select models that perform well with your desired use cases.
+
+::::
+
 ### Elastic Managed LLM [elastic-managed-llm-obs-ai-assistant]
 
 :::{include} ../_snippets/elastic-managed-llm.md

solutions/toc.yml

@@ -466,6 +466,7 @@ toc:
       - file: observability/observability-ai-assistant.md
         children:
           - file: observability/connect-to-own-local-llm.md
+          - file: observability/llm-performance-matrix.md
       - file: observability/observability-serverless-feature-tiers.md
   - file: security.md
     children: