## Python SDK Changes:

* `open_router.benchmarks.get_benchmarks()`: **Added**
* `open_router.datasets.get_benchmarks_artificial_analysis()`: **Deleted** **Breaking** ⚠️
* `open_router.datasets.get_benchmarks_design_arena()`: **Deleted** **Breaking** ⚠️
* `open_router.embeddings.list_models()`:  `response.data.[].reasoning` **Added**
* `open_router.models.get()`:  `response.data.reasoning` **Added**
* `open_router.models.list()`:  `response.data.[].reasoning` **Added**
* `open_router.models.list_for_user()`:  `response.data.[].reasoning` **Added**

src/openrouter/components/unifiedbenchmarksaaitem.py

@@ -0,0 +1,90 @@
+"""Code generated by Speakeasy (https://speakeasy.com). DO NOT EDIT."""
+
+from __future__ import annotations
+from .unifiedbenchmarkpricing import (
+    UnifiedBenchmarkPricing,
+    UnifiedBenchmarkPricingTypedDict,
+)
+from openrouter.types import BaseModel, Nullable, UNSET_SENTINEL
+from pydantic import model_serializer
+from typing import Literal
+from typing_extensions import TypedDict
+
+
+UnifiedBenchmarksAAItemSource = Literal["artificial-analysis",]
+r"""Benchmark source discriminator."""
+
+
+class UnifiedBenchmarksAAItemTypedDict(TypedDict):
+    agentic_index: Nullable[float]
+    r"""Artificial Analysis Agentic Index composite score. Higher is better."""
+    coding_index: Nullable[float]
+    r"""Artificial Analysis Coding Index composite score. Higher is better."""
+    display_name: str
+    r"""Model name as listed on Artificial Analysis."""
+    intelligence_index: Nullable[float]
+    r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
+    model_permaslug: str
+    r"""Stable OpenRouter model identifier."""
+    pricing: Nullable[UnifiedBenchmarkPricingTypedDict]
+    r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
+    source: UnifiedBenchmarksAAItemSource
+    r"""Benchmark source discriminator."""
+
+
+class UnifiedBenchmarksAAItem(BaseModel):
+    agentic_index: Nullable[float]
+    r"""Artificial Analysis Agentic Index composite score. Higher is better."""
+
+    coding_index: Nullable[float]
+    r"""Artificial Analysis Coding Index composite score. Higher is better."""
+
+    display_name: str
+    r"""Model name as listed on Artificial Analysis."""
+
+    intelligence_index: Nullable[float]
+    r"""Artificial Analysis Intelligence Index composite score. Higher is better."""
+
+    model_permaslug: str
+    r"""Stable OpenRouter model identifier."""
+
+    pricing: Nullable[UnifiedBenchmarkPricing]
+    r"""OpenRouter pricing per token for this model. Null if pricing is unavailable."""
+
+    source: UnifiedBenchmarksAAItemSource
+    r"""Benchmark source discriminator."""
+
+    @model_serializer(mode="wrap")
+    def serialize_model(self, handler):
+        optional_fields = []
+        nullable_fields = [
+            "agentic_index",
+            "coding_index",
+            "intelligence_index",
+            "pricing",
+        ]
+        null_default_fields = []
+
+        serialized = handler(self)
+
+        m = {}
+
+        for n, f in type(self).model_fields.items():
+            k = f.alias or n
+            val = serialized.get(k)
+            serialized.pop(k, None)
+
+            optional_nullable = k in optional_fields and k in nullable_fields
+            is_set = (
+                self.__pydantic_fields_set__.intersection({n})
+                or k in null_default_fields
+            )  # pylint: disable=no-member
+
+            if val is not None and val != UNSET_SENTINEL:
+                m[k] = val
+            elif val != UNSET_SENTINEL and (
+                not k in optional_fields or (optional_nullable and is_set)
+            ):
+                m[k] = val
+
+        return m