diff --git a/packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/__init__.py b/packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/__init__.py
index e4ac944ef5..081e02cc3f 100644
--- a/packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/__init__.py
+++ b/packages/opentelemetry-instrumentation-anthropic/opentelemetry/instrumentation/anthropic/__init__.py
@@ -85,6 +85,8 @@
         "span_name": "anthropic.chat",
     },
     # Beta API methods (regular Anthropic SDK)
+    # Note: AsyncMessages.stream returns an async context manager (not a coroutine),
+    # so it uses the sync wrapper like the non-beta version above
     {
         "package": "anthropic.resources.beta.messages.messages",
         "object": "Messages",
@@ -97,7 +99,15 @@
         "method": "stream",
         "span_name": "anthropic.chat",
     },
+    {
+        "package": "anthropic.resources.beta.messages.messages",
+        "object": "AsyncMessages",
+        "method": "stream",
+        "span_name": "anthropic.chat",
+    },
     # Beta API methods (Bedrock SDK)
+    # Note: AsyncMessages.stream returns an async context manager (not a coroutine),
+    # so it uses the sync wrapper like the non-beta version above
     {
         "package": "anthropic.lib.bedrock._beta_messages",
         "object": "Messages",
@@ -110,6 +120,12 @@
         "method": "stream",
         "span_name": "anthropic.chat",
     },
+    {
+        "package": "anthropic.lib.bedrock._beta_messages",
+        "object": "AsyncMessages",
+        "method": "stream",
+        "span_name": "anthropic.chat",
+    },
 ]
 
 WRAPPED_AMETHODS = [
@@ -132,12 +148,6 @@
         "method": "create",
         "span_name": "anthropic.chat",
     },
-    {
-        "package": "anthropic.resources.beta.messages.messages",
-        "object": "AsyncMessages",
-        "method": "stream",
-        "span_name": "anthropic.chat",
-    },
     # Beta API async methods (Bedrock SDK)
     {
         "package": "anthropic.lib.bedrock._beta_messages",
@@ -145,12 +155,6 @@
         "method": "create",
         "span_name": "anthropic.chat",
     },
-    {
-        "package": "anthropic.lib.bedrock._beta_messages",
-        "object": "AsyncMessages",
-        "method": "stream",
-        "span_name": "anthropic.chat",
-    },
 ]
 
 
diff --git a/packages/opentelemetry-instrumentation-anthropic/tests/test_beta_streaming.py b/packages/opentelemetry-instrumentation-anthropic/tests/test_beta_streaming.py
new file mode 100644
index 0000000000..18386b7d2b
--- /dev/null
+++ b/packages/opentelemetry-instrumentation-anthropic/tests/test_beta_streaming.py
@@ -0,0 +1,208 @@
+"""Tests for beta streaming API.
+
+These tests verify that the OpenTelemetry instrumentation works correctly with
+the beta streaming API (client.beta.messages.stream()), which was the subject
+of a fix that moved AsyncMessages.stream from WRAPPED_AMETHODS to WRAPPED_METHODS.
+
+The beta streaming API returns an async context manager, not a coroutine, so it
+needs the sync wrapper (not the async wrapper that would await it).
+
+Related:
+- Issue #3178: https://github.com/traceloop/openllmetry/issues/3178
+- PR #3220: https://github.com/traceloop/openllmetry/pull/3220 (fixed non-beta)
+"""
+
+import pytest
+from opentelemetry.semconv._incubating.attributes import (
+    gen_ai_attributes as GenAIAttributes,
+)
+from opentelemetry.semconv_ai import SpanAttributes
+
+
+@pytest.mark.vcr
+def test_anthropic_beta_message_stream_manager_legacy(
+    instrument_legacy, anthropic_client, span_exporter, log_exporter, reader
+):
+    """Test sync beta streaming with legacy attributes."""
+    response_content = ""
+    with anthropic_client.beta.messages.stream(
+        max_tokens=1024,
+        messages=[
+            {
+                "role": "user",
+                "content": "Tell me a very short joke about OpenTelemetry",
+            }
+        ],
+        model="claude-3-5-haiku-20241022",
+    ) as stream:
+        for event in stream:
+            if event.type == "content_block_delta" and event.delta.type == "text_delta":
+                response_content += event.delta.text
+
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "anthropic.chat",
+    ]
+    anthropic_span = spans[0]
+    assert (
+        anthropic_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"]
+        == "Tell me a very short joke about OpenTelemetry"
+    )
+    assert (anthropic_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"]) == "user"
+    assert (
+        anthropic_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content")
+        == response_content
+    )
+    assert (
+        anthropic_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.role")
+        == "assistant"
+    )
+    assert anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] >= 1
+    assert (
+        anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS]
+        + anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS]
+        == anthropic_span.attributes[SpanAttributes.LLM_USAGE_TOTAL_TOKENS]
+    )
+
+    logs = log_exporter.get_finished_logs()
+    assert len(logs) == 0, (
+        "Assert that it doesn't emit logs when use_legacy_attributes is True"
+    )
+
+
+@pytest.mark.vcr
+@pytest.mark.asyncio
+async def test_async_anthropic_beta_message_stream_manager_legacy(
+    instrument_legacy, async_anthropic_client, span_exporter, log_exporter, reader
+):
+    """Test async beta streaming with legacy attributes.
+
+    This is the main test case for the fix. Before the fix, this would fail with:
+        RuntimeWarning: coroutine '_awrap' was never awaited
+        TypeError: 'coroutine' object does not support the asynchronous context manager protocol
+
+    The fix moves beta.messages.AsyncMessages.stream from WRAPPED_AMETHODS to
+    WRAPPED_METHODS, using the sync wrapper instead of async wrapper.
+    """
+    response_content = ""
+    async with async_anthropic_client.beta.messages.stream(
+        max_tokens=1024,
+        messages=[
+            {
+                "role": "user",
+                "content": "Tell me a very short joke about OpenTelemetry",
+            }
+        ],
+        model="claude-3-5-haiku-20241022",
+    ) as stream:
+        async for event in stream:
+            if event.type == "content_block_delta" and event.delta.type == "text_delta":
+                response_content += event.delta.text
+
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "anthropic.chat",
+    ]
+    anthropic_span = spans[0]
+    assert (
+        anthropic_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.content"]
+        == "Tell me a very short joke about OpenTelemetry"
+    )
+    assert (anthropic_span.attributes[f"{GenAIAttributes.GEN_AI_PROMPT}.0.role"]) == "user"
+    assert (
+        anthropic_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.content")
+        == response_content
+    )
+    assert (
+        anthropic_span.attributes.get(f"{GenAIAttributes.GEN_AI_COMPLETION}.0.role")
+        == "assistant"
+    )
+    assert anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] >= 1
+    assert (
+        anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS]
+        + anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS]
+        == anthropic_span.attributes[SpanAttributes.LLM_USAGE_TOTAL_TOKENS]
+    )
+
+    logs = log_exporter.get_finished_logs()
+    assert len(logs) == 0, (
+        "Assert that it doesn't emit logs when use_legacy_attributes is True"
+    )
+
+
+@pytest.mark.vcr
+@pytest.mark.asyncio
+async def test_async_anthropic_beta_message_stream_manager_with_events_with_content(
+    instrument_with_content, async_anthropic_client, span_exporter, log_exporter, reader
+):
+    """Test async beta streaming with events and content logging enabled."""
+    response_content = ""
+    async with async_anthropic_client.beta.messages.stream(
+        max_tokens=1024,
+        messages=[
+            {
+                "role": "user",
+                "content": "Tell me a very short joke about OpenTelemetry",
+            }
+        ],
+        model="claude-3-5-haiku-20241022",
+    ) as stream:
+        async for event in stream:
+            if event.type == "content_block_delta" and event.delta.type == "text_delta":
+                response_content += event.delta.text
+
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "anthropic.chat",
+    ]
+    anthropic_span = spans[0]
+    assert anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] >= 1
+    assert (
+        anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS]
+        + anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS]
+        == anthropic_span.attributes[SpanAttributes.LLM_USAGE_TOTAL_TOKENS]
+    )
+
+    logs = log_exporter.get_finished_logs()
+    assert len(logs) == 2
+
+
+@pytest.mark.vcr
+@pytest.mark.asyncio
+async def test_async_anthropic_beta_message_stream_manager_with_events_with_no_content(
+    instrument_with_no_content,
+    async_anthropic_client,
+    span_exporter,
+    log_exporter,
+    reader,
+):
+    """Test async beta streaming with events but content logging disabled."""
+    response_content = ""
+    async with async_anthropic_client.beta.messages.stream(
+        max_tokens=1024,
+        messages=[
+            {
+                "role": "user",
+                "content": "Tell me a very short joke about OpenTelemetry",
+            }
+        ],
+        model="claude-3-5-haiku-20241022",
+    ) as stream:
+        async for event in stream:
+            if event.type == "content_block_delta" and event.delta.type == "text_delta":
+                response_content += event.delta.text
+
+    spans = span_exporter.get_finished_spans()
+    assert [span.name for span in spans] == [
+        "anthropic.chat",
+    ]
+    anthropic_span = spans[0]
+    assert anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS] >= 1
+    assert (
+        anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_OUTPUT_TOKENS]
+        + anthropic_span.attributes[GenAIAttributes.GEN_AI_USAGE_INPUT_TOKENS]
+        == anthropic_span.attributes[SpanAttributes.LLM_USAGE_TOTAL_TOKENS]
+    )
+
+    logs = log_exporter.get_finished_logs()
+    assert len(logs) == 2