diff --git a/tests/e2e/cost_calculation/cost_matrix.py b/tests/e2e/cost_calculation/cost_matrix.py
index e8b1d249559..8f39e89a358 100644
--- a/tests/e2e/cost_calculation/cost_matrix.py
+++ b/tests/e2e/cost_calculation/cost_matrix.py
@@ -186,15 +186,12 @@ _WIRE_CAPS: Final[Mapping[str, frozenset[str]]] = MappingProxyType({
         }
     ),
     "openai_responses": frozenset({"cache_read", "reasoning", "web_search", "response_model", "absent_usage"}),
-    # Product gap: litellm hard-indexes message_delta["usage"] in
-    # anthropic/chat/handler.py, so a usage-absent anthropic stream raises
-    # KeyError; the real wire always carries it, so the case cannot be
-    # represented.
-    "anthropic_messages": frozenset({"cache_read", "cache_write_5m", "cache_write_1h", "web_search", "response_model"}),
-    # Product gap: the gemini transform sets ModelResponse.model from the
-    # request and drops the provider's modelVersion, so a response-model
-    # override can never be priced on this wire.
-    "gemini_generate": frozenset({"cache_read", "reasoning", "audio", "web_search", "absent_usage"}),
+    "anthropic_messages": frozenset(
+        {"cache_read", "cache_write_5m", "cache_write_1h", "web_search", "response_model", "absent_usage"}
+    ),
+    "gemini_generate": frozenset(
+        {"cache_read", "reasoning", "audio", "web_search", "response_model", "absent_usage"}
+    ),
     "together_chat": frozenset(
         {
             "cache_read", "cache_write_5m", "cache_write_1h", "reasoning", "audio",
@@ -240,9 +237,6 @@ class Case:
     billed_web_search_calls: int = 0
     response_model_override: bool = False
     exact_spend: bool = True
-    # stream_usage=absent on a wire with no proxy-side token recount means the
-    # bill is exactly zero; asserted as such rather than skipped.
-    expect_zero_bill: bool = False
 
     def scenario(self, scenario_id: str, model: FrontierModel, text: str) -> Scenario:
         return Scenario(
@@ -359,10 +353,6 @@ def cases_for(model: FrontierModel) -> tuple[Case, ...]:
                 stream=True,
                 stream_usage="absent",
                 exact_spend=False,
-                # The responses surface bills only provider-reported usage;
-                # with no usage in the stream the spend row is zero. Other
-                # wires recount tokens proxy-side and bill a nonzero amount.
-                expect_zero_bill=model.wire == "openai_responses",
             )
             if "absent_usage" in caps
             else None
diff --git a/tests/e2e/cost_calculation/test_token_pricing_e2e.py b/tests/e2e/cost_calculation/test_token_pricing_e2e.py
index e210dad94b1..ead86931424 100644
--- a/tests/e2e/cost_calculation/test_token_pricing_e2e.py
+++ b/tests/e2e/cost_calculation/test_token_pricing_e2e.py
@@ -90,11 +90,6 @@ class TestTokenPricing:
         )
         assert row is not None, f"no spend row with a cost breakdown landed for {model.map_key}/{case.name}"
 
-        if not case.exact_spend and case.expect_zero_bill:
-            # The provider reported no usage and this wire has no proxy-side
-            # recount, so the bill is exactly zero.
-            assert row.spend is not None and row.spend == 0, f"no-usage stream billed {row.spend}: {row}"
-            return
         if not case.exact_spend:
             # stream_usage=absent: the provider reported no usage, so the row's
             # token counts are the proxy's own recount; only assert a bill landed.
diff --git a/tests/e2e/cost_map.json b/tests/e2e/cost_map.json
index b761710bae3..68d840870c9 100644
--- a/tests/e2e/cost_map.json
+++ b/tests/e2e/cost_map.json
@@ -63,13 +63,18 @@
     "supports_web_search": true
   },
   "fireworks_ai/deepseek-v4p1-flash": {
+    "cache_creation_input_token_cost": 0.00033,
+    "cache_creation_input_token_cost_above_1hr": 0.00044,
     "cache_read_input_token_cost": 1.4e-05,
+    "input_cost_per_audio_token": 0.00066,
     "input_cost_per_token": 0.00014000000000000001,
     "litellm_provider": "fireworks_ai",
     "max_input_tokens": 2000000,
     "max_output_tokens": 128000,
     "max_tokens": 128000,
     "mode": "chat",
+    "output_cost_per_audio_token": 0.00077,
+    "output_cost_per_reasoning_token": 0.00055,
     "output_cost_per_token": 0.00028000000000000003,
     "search_context_cost_per_query": {
       "search_context_size_high": 0.03,
@@ -82,13 +87,18 @@
     "supports_web_search": true
   },
   "fireworks_ai/kimi-k3": {
+    "cache_creation_input_token_cost": 0.00033,
+    "cache_creation_input_token_cost_above_1hr": 0.00044,
     "cache_read_input_token_cost": 1.2e-05,
+    "input_cost_per_audio_token": 0.00066,
     "input_cost_per_token": 0.00012000000000000002,
     "litellm_provider": "fireworks_ai",
     "max_input_tokens": 2000000,
     "max_output_tokens": 128000,
     "max_tokens": 128000,
     "mode": "chat",
+    "output_cost_per_audio_token": 0.00077,
+    "output_cost_per_reasoning_token": 0.00055,
     "output_cost_per_token": 0.00024000000000000003,
     "search_context_cost_per_query": {
       "search_context_size_high": 0.03,
@@ -101,13 +111,18 @@
     "supports_web_search": true
   },
   "fireworks_ai/qwen3p8-max": {
+    "cache_creation_input_token_cost": 0.00033,
+    "cache_creation_input_token_cost_above_1hr": 0.00044,
     "cache_read_input_token_cost": 1.3e-05,
+    "input_cost_per_audio_token": 0.00066,
     "input_cost_per_token": 0.00013000000000000002,
     "litellm_provider": "fireworks_ai",
     "max_input_tokens": 2000000,
     "max_output_tokens": 128000,
     "max_tokens": 128000,
     "mode": "chat",
+    "output_cost_per_audio_token": 0.00077,
+    "output_cost_per_reasoning_token": 0.00055,
     "output_cost_per_token": 0.00026000000000000003,
     "search_context_cost_per_query": {
       "search_context_size_high": 0.03,