diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json
index 951c114b0a9..f63c41ea20f 100644
--- a/litellm/model_prices_and_context_window_backup.json
+++ b/litellm/model_prices_and_context_window_backup.json
@@ -24227,6 +24227,108 @@
         "supports_web_search": true,
         "supports_xhigh_reasoning_effort": true
     },
+    "gpt-5.6-cyber": {
+        "cache_creation_input_token_cost": 1.5625e-05,
+        "cache_creation_input_token_cost_above_272k_tokens": 3.125e-05,
+        "cache_read_input_token_cost": 1.25e-06,
+        "cache_read_input_token_cost_above_272k_tokens": 2.5e-06,
+        "input_cost_per_token": 1.25e-05,
+        "input_cost_per_token_above_272k_tokens": 2.5e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 400000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 7.5e-05,
+        "output_cost_per_token_above_272k_tokens": 0.0001125,
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
+    "daybreak-red-latest": {
+        "cache_creation_input_token_cost": 1.5625e-05,
+        "cache_creation_input_token_cost_above_272k_tokens": 3.125e-05,
+        "cache_read_input_token_cost": 1.25e-06,
+        "cache_read_input_token_cost_above_272k_tokens": 2.5e-06,
+        "input_cost_per_token": 1.25e-05,
+        "input_cost_per_token_above_272k_tokens": 2.5e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 400000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 7.5e-05,
+        "output_cost_per_token_above_272k_tokens": 0.0001125,
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
+    "daybreak-blue-latest": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_creation_input_token_cost_above_272k_tokens": 1.25e-05,
+        "cache_read_input_token_cost": 5e-07,
+        "cache_read_input_token_cost_above_272k_tokens": 1e-06,
+        "input_cost_per_token": 5e-06,
+        "input_cost_per_token_above_272k_tokens": 1e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 1050000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 3e-05,
+        "output_cost_per_token_above_272k_tokens": 4.5e-05,
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
     "gpt-5.5": {
         "cache_read_input_token_cost": 5e-07,
         "cache_read_input_token_cost_above_272k_tokens": 1e-06,
diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json
index 951c114b0a9..f63c41ea20f 100644
--- a/model_prices_and_context_window.json
+++ b/model_prices_and_context_window.json
@@ -24227,6 +24227,108 @@
         "supports_web_search": true,
         "supports_xhigh_reasoning_effort": true
     },
+    "gpt-5.6-cyber": {
+        "cache_creation_input_token_cost": 1.5625e-05,
+        "cache_creation_input_token_cost_above_272k_tokens": 3.125e-05,
+        "cache_read_input_token_cost": 1.25e-06,
+        "cache_read_input_token_cost_above_272k_tokens": 2.5e-06,
+        "input_cost_per_token": 1.25e-05,
+        "input_cost_per_token_above_272k_tokens": 2.5e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 400000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 7.5e-05,
+        "output_cost_per_token_above_272k_tokens": 0.0001125,
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
+    "daybreak-red-latest": {
+        "cache_creation_input_token_cost": 1.5625e-05,
+        "cache_creation_input_token_cost_above_272k_tokens": 3.125e-05,
+        "cache_read_input_token_cost": 1.25e-06,
+        "cache_read_input_token_cost_above_272k_tokens": 2.5e-06,
+        "input_cost_per_token": 1.25e-05,
+        "input_cost_per_token_above_272k_tokens": 2.5e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 400000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 7.5e-05,
+        "output_cost_per_token_above_272k_tokens": 0.0001125,
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
+    "daybreak-blue-latest": {
+        "cache_creation_input_token_cost": 6.25e-06,
+        "cache_creation_input_token_cost_above_272k_tokens": 1.25e-05,
+        "cache_read_input_token_cost": 5e-07,
+        "cache_read_input_token_cost_above_272k_tokens": 1e-06,
+        "input_cost_per_token": 5e-06,
+        "input_cost_per_token_above_272k_tokens": 1e-05,
+        "litellm_provider": "openai",
+        "max_input_tokens": 1050000,
+        "max_output_tokens": 128000,
+        "max_tokens": 128000,
+        "mode": "responses",
+        "output_cost_per_token": 3e-05,
+        "output_cost_per_token_above_272k_tokens": 4.5e-05,
+        "supported_endpoints": [
+            "/v1/responses"
+        ],
+        "supported_modalities": [
+            "text",
+            "image"
+        ],
+        "supported_output_modalities": [
+            "text"
+        ],
+        "supports_function_calling": true,
+        "supports_native_streaming": true,
+        "supports_prompt_caching": true,
+        "supports_reasoning": true,
+        "supports_response_schema": true,
+        "supports_system_messages": true,
+        "supports_tool_choice": true,
+        "supports_vision": true,
+        "supports_web_search": true
+    },
     "gpt-5.5": {
         "cache_read_input_token_cost": 5e-07,
         "cache_read_input_token_cost_above_272k_tokens": 1e-06,
diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
index 158cdb45f6b..1ae03f27585 100644
--- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
+++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_llm_cost_calc_utils.py
@@ -752,6 +752,47 @@ def test_generic_cost_per_token_gpt56_terra_cache_costs_by_tier_and_context(
     assert prompt_cost == pytest.approx(expected_prompt_cost)
 
 
+@pytest.mark.parametrize("model", ["gpt-5.6-cyber", "daybreak-red-latest"])
+@pytest.mark.parametrize(
+    "prompt_tokens,input_rate,cache_write_rate,cache_read_rate,output_rate",
+    [
+        (100000, 1.25e-5, 1.5625e-5, 1.25e-6, 7.5e-5),
+        (300000, 2.5e-5, 3.125e-5, 2.5e-6, 1.125e-4),
+    ],
+)
+def test_generic_cost_per_token_gpt56_cyber(
+    model, prompt_tokens, input_rate, cache_write_rate, cache_read_rate, output_rate
+):
+    os.environ["LITELLM_LOCAL_MODEL_COST_MAP"] = "True"
+    litellm.model_cost = litellm.get_model_cost_map(url="")
+
+    cached_tokens = 50000
+    cache_write_tokens = 40000
+    text_tokens = prompt_tokens - cached_tokens - cache_write_tokens
+    completion_tokens = 1000
+    usage = Usage(
+        prompt_tokens=prompt_tokens,
+        completion_tokens=completion_tokens,
+        total_tokens=prompt_tokens + completion_tokens,
+        prompt_tokens_details=PromptTokensDetailsWrapper(
+            cached_tokens=cached_tokens, cache_write_tokens=cache_write_tokens
+        ),
+    )
+
+    prompt_cost, completion_cost = generic_cost_per_token(
+        model=model,
+        usage=usage,
+        custom_llm_provider="openai",
+    )
+
+    assert prompt_cost == pytest.approx(
+        text_tokens * input_rate
+        + cached_tokens * cache_read_rate
+        + cache_write_tokens * cache_write_rate
+    )
+    assert completion_cost == pytest.approx(completion_tokens * output_rate)
+
+
 @pytest.mark.parametrize(
     "model,input_cost,output_cost,cache_read_cost",
     [