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fix(model-pricing): add openai aliases for kimi and glm aliases

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sirius 2026-07-08 09:35:17 +08:00
parent db2402754a
commit f4a2a62397
2 changed files with 64 additions and 0 deletions
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36
model_prices_and_context_window.json
View file

@ -38527,6 +38527,42 @@
"litellm_provider": "openai",
"mode": "chat"
},
"openai/glm-5.2": {
"cache_read_input_token_cost": 2.6e-07,
"input_cost_per_token": 1.4e-06,
"litellm_provider": "openai",
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"max_tokens": 262144,
"mode": "chat",
"output_cost_per_token": 4.4e-06,
"supports_function_calling": true,
"supports_reasoning": true
},
"openai/kimi-k2.7-code": {
"cache_read_input_token_cost": 1.9e-07,
"input_cost_per_token": 9.5e-07,
"litellm_provider": "openai",
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"max_tokens": 262144,
"mode": "chat",
"output_cost_per_token": 4e-06,
"supports_function_calling": true,
"supports_reasoning": true
},
"openai/kimi-k2.7-code-highspeed": {
"cache_read_input_token_cost": 1.9e-07,
"input_cost_per_token": 9.5e-07,
"litellm_provider": "openai",
"max_input_tokens": 262144,
"max_output_tokens": 262144,
"max_tokens": 262144,
"mode": "chat",
"output_cost_per_token": 4e-06,
"supports_function_calling": true,
"supports_reasoning": true
},
"openai/sora-2": {
"litellm_provider": "openai",
"mode": "video_generation",

28
tests/test_litellm/test_utils.py
View file

@ -3066,6 +3066,34 @@ def test_model_info_for_openrouter_kimi_k2_5():
print("openrouter kimi-k2.5 model info", model_info)
def test_model_info_for_openai_kimi_and_glm_aliases(local_model_cost_map):
kimi = litellm.get_model_info(model="openai/kimi-k2.7-code", custom_llm_provider="openai")
assert kimi is not None
assert kimi["litellm_provider"] == "openai"
assert kimi["input_cost_per_token"] == 9.5e-07
assert kimi["output_cost_per_token"] == 4e-06
assert kimi["cache_read_input_token_cost"] == 1.9e-07
assert kimi["max_input_tokens"] == 262144
kimi_highspeed = litellm.get_model_info(
model="openai/kimi-k2.7-code-highspeed", custom_llm_provider="openai"
)
assert kimi_highspeed is not None
assert kimi_highspeed["litellm_provider"] == "openai"
assert kimi_highspeed["input_cost_per_token"] == 9.5e-07
assert kimi_highspeed["output_cost_per_token"] == 4e-06
assert kimi_highspeed["cache_read_input_token_cost"] == 1.9e-07
assert kimi_highspeed["max_input_tokens"] == 262144
glm = litellm.get_model_info(model="openai/glm-5.2", custom_llm_provider="openai")
assert glm is not None
assert glm["litellm_provider"] == "openai"
assert glm["input_cost_per_token"] == 1.4e-06
assert glm["output_cost_per_token"] == 4.4e-06
assert glm["cache_read_input_token_cost"] == 2.6e-07
assert glm["max_input_tokens"] == 262144
def test_gemini_embedding_2_ga_in_cost_map():
"""GA and Vertex preview gemini-embedding-2 entries align with multimodal unit pricing."""
import json