diff --git a/src/exo/master/api.py b/src/exo/master/api.py
index 91f066b6..a191b029 100644
--- a/src/exo/master/api.py
+++ b/src/exo/master/api.py
@@ -42,6 +42,7 @@ from exo.shared.types.api import (
     CompletionLogprobs,
     CompletionResponse,
     CompletionTaskParams,
+    CompletionTokensDetails,
     CreateInstanceParams,
     CreateInstanceResponse,
     DeleteInstanceResponse,
@@ -65,6 +66,7 @@ from exo.shared.types.api import (
     PlacementPreviewResponse,
     StreamingChoiceResponse,
     ToolCall,
+    Usage,
 )
 from exo.shared.types.chunks import (
     CompletionChunk,
@@ -231,6 +233,12 @@ class API:
         self._image_store = ImageStore(EXO_IMAGE_CACHE_DIR)
         self._tg: TaskGroup | None = None
 
+        # Accumulated usage stats across all requests
+        self._total_prompt_tokens: int = 0
+        self._total_completion_tokens: int = 0
+        self._total_reasoning_tokens: int = 0
+        self._total_requests: int = 0
+
     def reset(self, new_session_id: SessionId, result_clock: int):
         logger.info("Resetting API State")
         self.state = State()
@@ -296,6 +304,17 @@ class API:
         self.app.get("/images/{image_id}")(self.get_image)
         self.app.get("/state")(lambda: self.state)
         self.app.get("/events")(lambda: self._event_log)
+        self.app.get("/v1/usage")(self.get_usage)
+
+    def get_usage(self) -> dict[str, int]:
+        """Return accumulated token usage across all requests."""
+        return {
+            "total_requests": self._total_requests,
+            "total_prompt_tokens": self._total_prompt_tokens,
+            "total_completion_tokens": self._total_completion_tokens,
+            "total_reasoning_tokens": self._total_reasoning_tokens,
+            "total_tokens": self._total_prompt_tokens + self._total_completion_tokens,
+        }
 
     async def place_instance(self, payload: PlaceInstanceParams):
         command = PlaceInstance(
@@ -563,6 +582,13 @@ class API:
             yield f"data: {chunk_response.model_dump_json()}\n\n"
 
             if chunk.finish_reason is not None:
+                # Accumulate usage stats from the final chunk
+                if isinstance(chunk, TokenChunk) and chunk.stats is not None:
+                    s = chunk.stats
+                    self._total_prompt_tokens += s.prompt_tokens
+                    self._total_completion_tokens += s.generation_tokens
+                    self._total_reasoning_tokens += s.reasoning_tokens
+                    self._total_requests += 1
                 yield "data: [DONE]\n\n"
 
     async def _collect_chat_completion(
@@ -575,6 +601,7 @@ class API:
         logprobs_items: list[LogprobsContentItem] = []
         model: str | None = None
         finish_reason: FinishReason | None = None
+        stats: GenerationStats | None = None
 
         async for chunk in self._chat_chunk_stream(command_id):
             # Skip CompletionChunk - it's for the legacy completions API
@@ -592,6 +619,8 @@ class API:
 
             if isinstance(chunk, TokenChunk):
                 text_parts.append(chunk.text)
+                if chunk.stats is not None:
+                    stats = chunk.stats
                 if chunk.logprob is not None:
                     lp = _build_logprobs(chunk)
                     if lp.content:
@@ -621,6 +650,22 @@ class API:
         if logprobs_items:
             logprobs = Logprobs(content=logprobs_items)
 
+        usage: Usage | None = None
+        if stats is not None:
+            completion_tokens = stats.generation_tokens
+            usage = Usage(
+                prompt_tokens=stats.prompt_tokens,
+                completion_tokens=completion_tokens,
+                total_tokens=stats.prompt_tokens + completion_tokens,
+                completion_tokens_details=CompletionTokensDetails(
+                    reasoning_tokens=stats.reasoning_tokens,
+                ) if stats.reasoning_tokens > 0 else None,
+            )
+            self._total_prompt_tokens += stats.prompt_tokens
+            self._total_completion_tokens += completion_tokens
+            self._total_reasoning_tokens += stats.reasoning_tokens
+            self._total_requests += 1
+
         return ChatCompletionResponse(
             id=command_id,
             created=int(time.time()),
@@ -637,6 +682,7 @@ class API:
                     finish_reason=finish_reason,
                 )
             ],
+            usage=usage,
         )
 
     async def _collect_chat_completion_with_stats(
diff --git a/src/exo/shared/types/api.py b/src/exo/shared/types/api.py
index 99a21437..a27c27c2 100644
--- a/src/exo/shared/types/api.py
+++ b/src/exo/shared/types/api.py
@@ -151,6 +151,7 @@ class GenerationStats(BaseModel):
     generation_tps: float
     prompt_tokens: int
     generation_tokens: int
+    reasoning_tokens: int = 0
     peak_memory_usage: Memory
 
 
diff --git a/src/exo/worker/runner/batched_handler.py b/src/exo/worker/runner/batched_handler.py
index b7a7b18d..43076192 100644
--- a/src/exo/worker/runner/batched_handler.py
+++ b/src/exo/worker/runner/batched_handler.py
@@ -59,6 +59,7 @@ class ActiveRequest:
     gpt_oss_parser: Any | None = None  # StreamableParser for GPT-OSS models
     gpt_oss_thinking: bool = False
     tokens_generated: int = 0
+    reasoning_tokens: int = 0
     prompt_tokens: int = 0
     start_time: float = field(default_factory=time.perf_counter)
 
@@ -290,6 +291,10 @@ class BatchedInferenceHandler:
                 delta: str | None = parser.last_content_delta  # pyright: ignore[reportAny]
                 channel: str = parser.current_channel  # pyright: ignore[reportAny]
 
+                # Track reasoning tokens (analysis channel = thinking)
+                if channel == "analysis":
+                    active_request.reasoning_tokens += 1
+
                 # Handle thinking tag transitions
                 prefix = ""
                 if channel == "analysis" and not active_request.gpt_oss_thinking:
@@ -339,6 +344,7 @@ class BatchedInferenceHandler:
                     generation_tps=generation_tps,
                     prompt_tokens=active_request.prompt_tokens,
                     generation_tokens=active_request.tokens_generated,
+                    reasoning_tokens=active_request.reasoning_tokens,
                     peak_memory_usage=Memory.from_bytes(peak_memory_bytes),
                 )