feat(model_prices): add deepseek-v3 to model price maps (#43660)

litellm/model_prices_and_context_window_backup.json

@@ -16172,6 +16172,23 @@
         "supports_system_messages": true,
         "supports_tool_choice": false
     },
+    "deepseek-v3": {
+        "cache_creation_input_token_cost": 0.0,
+        "cache_read_input_token_cost": 7e-08,
+        "input_cost_per_token": 2.7e-07,
+        "input_cost_per_token_cache_hit": 7e-08,
+        "litellm_provider": "deepseek",
+        "max_input_tokens": 65536,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "output_cost_per_token": 1.1e-06,
+        "source": "https://api-docs.deepseek.com/quick_start/pricing",
+        "supports_assistant_prefill": true,
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_tool_choice": true
+    },
     "dashscope/deepseek-v4-flash": {
         "cache_read_input_token_cost": 4e-08,
         "input_cost_per_token": 2e-07,

model_prices_and_context_window.json

@@ -16172,6 +16172,23 @@
         "supports_system_messages": true,
         "supports_tool_choice": false
     },
+    "deepseek-v3": {
+        "cache_creation_input_token_cost": 0.0,
+        "cache_read_input_token_cost": 7e-08,
+        "input_cost_per_token": 2.7e-07,
+        "input_cost_per_token_cache_hit": 7e-08,
+        "litellm_provider": "deepseek",
+        "max_input_tokens": 65536,
+        "max_output_tokens": 8192,
+        "max_tokens": 8192,
+        "mode": "chat",
+        "output_cost_per_token": 1.1e-06,
+        "source": "https://api-docs.deepseek.com/quick_start/pricing",
+        "supports_assistant_prefill": true,
+        "supports_function_calling": true,
+        "supports_prompt_caching": true,
+        "supports_tool_choice": true
+    },
     "dashscope/deepseek-v4-flash": {
         "cache_read_input_token_cost": 4e-08,
         "input_cost_per_token": 2e-07,

tests/test_litellm/test_deepseek_v3_costs.py

@@ -0,0 +1,113 @@
+"""
+Tests for deepseek-v3 model prices and context window configuration.
+
+Closes https://github.com/BerriAI/litellm/issues/43660
+"""
+
+import json
+from pathlib import Path
+
+import pytest
+
+import litellm
+from litellm import completion_cost
+from litellm.types.utils import Choices, Message, ModelResponse, Usage
+from litellm.utils import get_model_info
+
+REPO_ROOT = Path(__file__).parents[2]
+MAIN_PATH = REPO_ROOT / "model_prices_and_context_window.json"
+BACKUP_PATH = REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json"
+
+EXPECTED_CONFIG = {
+    "litellm_provider": "deepseek",
+    "mode": "chat",
+    "input_cost_per_token": 2.7e-07,
+    "output_cost_per_token": 1.1e-06,
+    "cache_read_input_token_cost": 7e-08,
+    "max_input_tokens": 65536,
+    "max_output_tokens": 8192,
+    "supports_function_calling": True,
+    "supports_tool_choice": True,
+    "supports_assistant_prefill": True,
+    "supports_prompt_caching": True,
+}
+
+
+@pytest.fixture(autouse=True)
+def local_model_cost_map(monkeypatch):
+    original_model_cost = litellm.model_cost
+    monkeypatch.setenv("LITELLM_LOCAL_MODEL_COST_MAP", "True")
+    litellm.model_cost = litellm.get_model_cost_map(url="")
+    litellm.get_model_info.cache_clear()
+    try:
+        yield
+    finally:
+        litellm.model_cost = original_model_cost
+        litellm.get_model_info.cache_clear()
+
+
+def test_deepseek_v3_in_cost_map():
+    with open(MAIN_PATH, encoding="utf-8") as f:
+        model_cost = json.load(f)
+
+    for key in ("deepseek-v3", "deepseek/deepseek-v3"):
+        info = model_cost.get(key)
+        assert info is not None, f"{key} missing from model_prices_and_context_window.json"
+        for field, expected_val in EXPECTED_CONFIG.items():
+            assert info.get(field) == expected_val, f"Mismatch for {field} in {key}"
+
+
+def test_deepseek_v3_in_backup_cost_map():
+    with open(BACKUP_PATH, encoding="utf-8") as f:
+        model_cost = json.load(f)
+
+    for key in ("deepseek-v3", "deepseek/deepseek-v3"):
+        info = model_cost.get(key)
+        assert info is not None, f"{key} missing from backup JSON"
+        for field, expected_val in EXPECTED_CONFIG.items():
+            assert info.get(field) == expected_val, f"Mismatch for {field} in {key}"
+
+
+def test_deepseek_v3_get_model_info():
+    info = get_model_info(model="deepseek-v3")
+    assert info is not None
+    assert info["litellm_provider"] == "deepseek"
+    assert info["input_cost_per_token"] == pytest.approx(2.7e-07)
+    assert info["output_cost_per_token"] == pytest.approx(1.1e-06)
+    assert info["cache_read_input_token_cost"] == pytest.approx(7e-08)
+    assert info["max_input_tokens"] == 65536
+    assert info["max_output_tokens"] == 8192
+
+
+def test_deepseek_v3_completion_cost():
+    response = ModelResponse(
+        model="deepseek-v3",
+        choices=[Choices(index=0, message=Message(role="assistant", content="test"))],
+        usage=Usage(
+            prompt_tokens=1_000_000,
+            completion_tokens=1_000_000,
+            total_tokens=2_000_000,
+        ),
+    )
+
+    cost_bare = completion_cost(
+        completion_response=response,
+        model="deepseek-v3",
+        custom_llm_provider="deepseek",
+    )
+    assert cost_bare == pytest.approx(1.37, abs=1e-9)
+
+    response_prefixed = ModelResponse(
+        model="deepseek/deepseek-v3",
+        choices=[Choices(index=0, message=Message(role="assistant", content="test"))],
+        usage=Usage(
+            prompt_tokens=1_000_000,
+            completion_tokens=1_000_000,
+            total_tokens=2_000_000,
+        ),
+    )
+    cost_prefixed = completion_cost(
+        completion_response=response_prefixed,
+        model="deepseek/deepseek-v3",
+    )
+    assert cost_prefixed == pytest.approx(1.37, abs=1e-9)