diff --git a/packages/opentelemetry-instrumentation-openai/README.md b/packages/opentelemetry-instrumentation-openai/README.md
index d18d6e2d64..ca776b9a0e 100644
--- a/packages/opentelemetry-instrumentation-openai/README.md
+++ b/packages/opentelemetry-instrumentation-openai/README.md
@@ -4,8 +4,18 @@
     <img src="https://badge.fury.io/py/opentelemetry-instrumentation-openai.svg">
 </a>
 
+
 This library allows tracing OpenAI prompts and completions sent with the official [OpenAI library](https://github.com/openai/openai-python).
 
+## Meter Attributes
+
+As of vNEXT, all meter data points now include both the response and request model names:
+
+* `gen_ai.response.model` — The model name returned in the response (e.g., "gpt-3.5-turbo-0125").
+* `gen_ai.request.model` — The model name specified in the request payload (e.g., "gpt-3.5-turbo").
+
+This provides richer context for metrics and observability.
+
 ## Installation
 
 ```bash
diff --git a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py
index 0b8c9d6b84..394b9509b7 100644
--- a/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py
+++ b/packages/opentelemetry-instrumentation-openai/opentelemetry/instrumentation/openai/shared/chat_wrappers.py
@@ -888,6 +888,7 @@ def _build_from_streaming_response(
 
     shared_attributes = {
         SpanAttributes.LLM_RESPONSE_MODEL: complete_response.get("model") or None,
+        "gen_ai.request.model": request_kwargs.get("model") if request_kwargs else None,
         "server.address": _get_openai_base_url(instance),
         "stream": True,
     }
@@ -959,6 +960,7 @@ async def _abuild_from_streaming_response(
 
     shared_attributes = {
         SpanAttributes.LLM_RESPONSE_MODEL: complete_response.get("model") or None,
+        "gen_ai.request.model": request_kwargs.get("model") if request_kwargs else None,
         "server.address": _get_openai_base_url(instance),
         "stream": True,
     }
diff --git a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py
index 12c0933d53..57f7529c1e 100644
--- a/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py
+++ b/packages/opentelemetry-instrumentation-openai/tests/metrics/test_openai_metrics.py
@@ -47,12 +47,15 @@ def test_chat_completion_metrics(instrument_legacy, reader, openai_client):
                         ]
                         assert len(data_point.attributes["server.address"]) > 0
                         assert data_point.sum > 0
+                        # Check request model attribute
+                        assert data_point.attributes["gen_ai.request.model"] == "gpt-3.5-turbo"
 
                 if metric.name == Meters.LLM_GENERATION_CHOICES:
                     found_choice_metric = True
                     for data_point in metric.data.data_points:
                         assert data_point.value >= 1
                         assert len(data_point.attributes["server.address"]) > 0
+                        assert data_point.attributes["gen_ai.request.model"] == "gpt-3.5-turbo"
 
                 if metric.name == Meters.LLM_OPERATION_DURATION:
                     found_duration_metric = True
@@ -66,6 +69,10 @@ def test_chat_completion_metrics(instrument_legacy, reader, openai_client):
                         len(data_point.attributes["server.address"]) > 0
                         for data_point in metric.data.data_points
                     )
+                    assert all(
+                        data_point.attributes["gen_ai.request.model"] == "gpt-3.5-turbo"
+                        for data_point in metric.data.data_points
+                    )
 
     assert found_token_metric is True
     assert found_choice_metric is True