From d497434680186367ce42795ae1fca314503cd2aa Mon Sep 17 00:00:00 2001 From: mateo Date: Tue, 8 Sep 2026 19:28:04 +0000 Subject: [PATCH] fix(model_prices): update provider and web search pricing Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --- ...odel_prices_and_context_window_backup.json | 140 +++++++++++++++--- model_prices_and_context_window.json | 140 +++++++++++++++--- .../test_tool_call_cost_tracking.py | 65 +++++++- ...tex_ai_gemini_transcribe_transformation.py | 4 +- 4 files changed, 293 insertions(+), 56 deletions(-) diff --git a/litellm/model_prices_and_context_window_backup.json b/litellm/model_prices_and_context_window_backup.json index ef8da798922..a540df1c7d1 100644 --- a/litellm/model_prices_and_context_window_backup.json +++ b/litellm/model_prices_and_context_window_backup.json @@ -29176,7 +29176,13 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "search_context_cost_per_query": { + "search_context_size_high": 0.025, + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025 + }, + "supports_web_search": true }, "gpt-4o-mini-2024-07-18": { "cache_read_input_token_cost": 7.5e-08, @@ -29193,9 +29199,9 @@ "output_cost_per_token_priority": 1e-06, "output_cost_per_token_batches": 3e-07, "search_context_cost_per_query": { - "search_context_size_high": 0.03, + "search_context_size_high": 0.025, "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29204,7 +29210,8 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "supports_web_search": true }, "gpt-4o-mini-audio-preview": { "deprecation_date": "2026-05-07", @@ -29294,9 +29301,9 @@ "output_cost_per_token": 6e-07, "output_cost_per_token_batches": 3e-07, "search_context_cost_per_query": { - "search_context_size_high": 0.03, + "search_context_size_high": 0.025, "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29321,9 +29328,9 @@ "output_cost_per_token": 6e-07, "output_cost_per_token_batches": 3e-07, "search_context_cost_per_query": { - "search_context_size_high": 0.03, + "search_context_size_high": 0.025, "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29434,9 +29441,9 @@ "output_cost_per_token": 1e-05, "output_cost_per_token_batches": 5e-06, "search_context_cost_per_query": { - "search_context_size_high": 0.05, - "search_context_size_low": 0.03, - "search_context_size_medium": 0.035 + "search_context_size_high": 0.025, + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29461,9 +29468,9 @@ "output_cost_per_token": 1e-05, "output_cost_per_token_batches": 5e-06, "search_context_cost_per_query": { - "search_context_size_high": 0.05, - "search_context_size_low": 0.03, - "search_context_size_medium": 0.035 + "search_context_size_high": 0.025, + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -41625,6 +41632,28 @@ "mode": "rerank", "output_cost_per_token": 0.0 }, + "rerank-v4.0-fast": { + "input_cost_per_query": 0.002, + "input_cost_per_token": 0.0, + "litellm_provider": "cohere", + "max_input_tokens": 32768, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "rerank", + "output_cost_per_token": 0.0, + "source": "https://cohere.com/pricing" + }, + "rerank-v4.0-pro": { + "input_cost_per_query": 0.0025, + "input_cost_per_token": 0.0, + "litellm_provider": "cohere", + "max_input_tokens": 32768, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "rerank", + "output_cost_per_token": 0.0, + "source": "https://cohere.com/pricing" + }, "nvidia_nim/nvidia/nv-rerankqa-mistral-4b-v3": { "input_cost_per_query": 0.0, "input_cost_per_token": 0.0, @@ -47811,7 +47840,7 @@ "cache_read_input_token_cost": 5e-08, "input_cost_per_token": 2e-07, "litellm_provider": "vertex_ai", - "max_input_tokens": 2000000, + "max_input_tokens": 128000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", @@ -47827,7 +47856,7 @@ "cache_read_input_token_cost": 5e-08, "input_cost_per_token": 2e-07, "litellm_provider": "vertex_ai", - "max_input_tokens": 2000000, + "max_input_tokens": 128000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", @@ -47842,14 +47871,17 @@ }, "vertex_ai/xai/grok-4.20-non-reasoning": { "cache_read_input_token_cost": 2e-07, - "input_cost_per_token": 2e-06, + "cache_read_input_token_cost_above_200k_tokens": 4e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, "litellm_provider": "vertex_ai", "max_input_tokens": 2000000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", - "output_cost_per_token": 6e-06, - "source": "https://docs.x.ai/developers/models", + "output_cost_per_token": 2.5e-06, + "output_cost_per_token_above_200k_tokens": 5e-06, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", "supports_function_calling": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -47858,14 +47890,17 @@ }, "vertex_ai/xai/grok-4.20-reasoning": { "cache_read_input_token_cost": 2e-07, - "input_cost_per_token": 2e-06, + "cache_read_input_token_cost_above_200k_tokens": 4e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, "litellm_provider": "vertex_ai", "max_input_tokens": 2000000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", - "output_cost_per_token": 6e-06, - "source": "https://docs.x.ai/developers/models", + "output_cost_per_token": 2.5e-06, + "output_cost_per_token_above_200k_tokens": 5e-06, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", "supports_function_calling": true, "supports_reasoning": true, "supports_response_schema": true, @@ -47873,6 +47908,42 @@ "supports_vision": true, "supports_web_search": true }, + "vertex_ai/xai/grok-4.3": { + "cache_read_input_token_cost": 2e-07, + "cache_read_input_token_cost_above_200k_tokens": 4e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, + "litellm_provider": "vertex_ai", + "max_input_tokens": 200000, + "max_tokens": 200000, + "mode": "chat", + "output_cost_per_token": 2.5e-06, + "output_cost_per_token_above_200k_tokens": 5e-06, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "vertex_ai/xai/grok-4.6": { + "cache_read_input_token_cost": 5e-07, + "cache_read_input_token_cost_above_200k_tokens": 1e-06, + "input_cost_per_token": 2e-06, + "input_cost_per_token_above_200k_tokens": 4e-06, + "litellm_provider": "vertex_ai", + "max_input_tokens": 524288, + "max_tokens": 524288, + "mode": "chat", + "output_cost_per_token": 6e-06, + "output_cost_per_token_above_200k_tokens": 1.2e-05, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, "vertex_ai/qwen/qwen3-235b-a22b-instruct-2507-maas": { "input_cost_per_token": 2.2e-07, "litellm_provider": "vertex_ai-qwen_models", @@ -56824,8 +56895,8 @@ "rpm": 10 }, "vertex_ai/gemini-3.5-transcribe-preview": { - "input_cost_per_audio_token": 2.5e-06, - "input_cost_per_token": 2.5e-06, + "input_cost_per_audio_token": 2e-06, + "input_cost_per_token": 2e-06, "litellm_provider": "vertex_ai", "mode": "audio_transcription", "output_cost_per_token": 1.2e-05, @@ -56860,6 +56931,27 @@ ], "supports_audio_input": true }, + "vertex_ai/gemini-3.5-live-translate-preview": { + "input_cost_per_audio_token": 3.5e-06, + "input_cost_per_token": 3.5e-06, + "litellm_provider": "vertex_ai", + "mode": "realtime", + "output_cost_per_audio_token": 2.1e-05, + "output_cost_per_token": 2.1e-05, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "audio" + ], + "supported_output_modalities": [ + "audio", + "text" + ], + "supports_audio_input": true, + "supports_audio_output": true + }, "perplexity/pplx-embed-context-v1-0.6b": { "input_cost_per_token": 8e-09, "litellm_provider": "perplexity", diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index ef8da798922..a540df1c7d1 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -29176,7 +29176,13 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "search_context_cost_per_query": { + "search_context_size_high": 0.025, + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025 + }, + "supports_web_search": true }, "gpt-4o-mini-2024-07-18": { "cache_read_input_token_cost": 7.5e-08, @@ -29193,9 +29199,9 @@ "output_cost_per_token_priority": 1e-06, "output_cost_per_token_batches": 3e-07, "search_context_cost_per_query": { - "search_context_size_high": 0.03, + "search_context_size_high": 0.025, "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29204,7 +29210,8 @@ "supports_response_schema": true, "supports_system_messages": true, "supports_tool_choice": true, - "supports_vision": true + "supports_vision": true, + "supports_web_search": true }, "gpt-4o-mini-audio-preview": { "deprecation_date": "2026-05-07", @@ -29294,9 +29301,9 @@ "output_cost_per_token": 6e-07, "output_cost_per_token_batches": 3e-07, "search_context_cost_per_query": { - "search_context_size_high": 0.03, + "search_context_size_high": 0.025, "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29321,9 +29328,9 @@ "output_cost_per_token": 6e-07, "output_cost_per_token_batches": 3e-07, "search_context_cost_per_query": { - "search_context_size_high": 0.03, + "search_context_size_high": 0.025, "search_context_size_low": 0.025, - "search_context_size_medium": 0.0275 + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29434,9 +29441,9 @@ "output_cost_per_token": 1e-05, "output_cost_per_token_batches": 5e-06, "search_context_cost_per_query": { - "search_context_size_high": 0.05, - "search_context_size_low": 0.03, - "search_context_size_medium": 0.035 + "search_context_size_high": 0.025, + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -29461,9 +29468,9 @@ "output_cost_per_token": 1e-05, "output_cost_per_token_batches": 5e-06, "search_context_cost_per_query": { - "search_context_size_high": 0.05, - "search_context_size_low": 0.03, - "search_context_size_medium": 0.035 + "search_context_size_high": 0.025, + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025 }, "supports_function_calling": true, "supports_parallel_function_calling": true, @@ -41625,6 +41632,28 @@ "mode": "rerank", "output_cost_per_token": 0.0 }, + "rerank-v4.0-fast": { + "input_cost_per_query": 0.002, + "input_cost_per_token": 0.0, + "litellm_provider": "cohere", + "max_input_tokens": 32768, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "rerank", + "output_cost_per_token": 0.0, + "source": "https://cohere.com/pricing" + }, + "rerank-v4.0-pro": { + "input_cost_per_query": 0.0025, + "input_cost_per_token": 0.0, + "litellm_provider": "cohere", + "max_input_tokens": 32768, + "max_output_tokens": 32768, + "max_tokens": 32768, + "mode": "rerank", + "output_cost_per_token": 0.0, + "source": "https://cohere.com/pricing" + }, "nvidia_nim/nvidia/nv-rerankqa-mistral-4b-v3": { "input_cost_per_query": 0.0, "input_cost_per_token": 0.0, @@ -47811,7 +47840,7 @@ "cache_read_input_token_cost": 5e-08, "input_cost_per_token": 2e-07, "litellm_provider": "vertex_ai", - "max_input_tokens": 2000000, + "max_input_tokens": 128000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", @@ -47827,7 +47856,7 @@ "cache_read_input_token_cost": 5e-08, "input_cost_per_token": 2e-07, "litellm_provider": "vertex_ai", - "max_input_tokens": 2000000, + "max_input_tokens": 128000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", @@ -47842,14 +47871,17 @@ }, "vertex_ai/xai/grok-4.20-non-reasoning": { "cache_read_input_token_cost": 2e-07, - "input_cost_per_token": 2e-06, + "cache_read_input_token_cost_above_200k_tokens": 4e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, "litellm_provider": "vertex_ai", "max_input_tokens": 2000000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", - "output_cost_per_token": 6e-06, - "source": "https://docs.x.ai/developers/models", + "output_cost_per_token": 2.5e-06, + "output_cost_per_token_above_200k_tokens": 5e-06, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", "supports_function_calling": true, "supports_response_schema": true, "supports_tool_choice": true, @@ -47858,14 +47890,17 @@ }, "vertex_ai/xai/grok-4.20-reasoning": { "cache_read_input_token_cost": 2e-07, - "input_cost_per_token": 2e-06, + "cache_read_input_token_cost_above_200k_tokens": 4e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, "litellm_provider": "vertex_ai", "max_input_tokens": 2000000, "max_output_tokens": 2000000, "max_tokens": 2000000, "mode": "chat", - "output_cost_per_token": 6e-06, - "source": "https://docs.x.ai/developers/models", + "output_cost_per_token": 2.5e-06, + "output_cost_per_token_above_200k_tokens": 5e-06, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", "supports_function_calling": true, "supports_reasoning": true, "supports_response_schema": true, @@ -47873,6 +47908,42 @@ "supports_vision": true, "supports_web_search": true }, + "vertex_ai/xai/grok-4.3": { + "cache_read_input_token_cost": 2e-07, + "cache_read_input_token_cost_above_200k_tokens": 4e-07, + "input_cost_per_token": 1.25e-06, + "input_cost_per_token_above_200k_tokens": 2.5e-06, + "litellm_provider": "vertex_ai", + "max_input_tokens": 200000, + "max_tokens": 200000, + "mode": "chat", + "output_cost_per_token": 2.5e-06, + "output_cost_per_token_above_200k_tokens": 5e-06, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, + "vertex_ai/xai/grok-4.6": { + "cache_read_input_token_cost": 5e-07, + "cache_read_input_token_cost_above_200k_tokens": 1e-06, + "input_cost_per_token": 2e-06, + "input_cost_per_token_above_200k_tokens": 4e-06, + "litellm_provider": "vertex_ai", + "max_input_tokens": 524288, + "max_tokens": 524288, + "mode": "chat", + "output_cost_per_token": 6e-06, + "output_cost_per_token_above_200k_tokens": 1.2e-05, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", + "supports_function_calling": true, + "supports_reasoning": true, + "supports_response_schema": true, + "supports_tool_choice": true, + "supports_vision": true + }, "vertex_ai/qwen/qwen3-235b-a22b-instruct-2507-maas": { "input_cost_per_token": 2.2e-07, "litellm_provider": "vertex_ai-qwen_models", @@ -56824,8 +56895,8 @@ "rpm": 10 }, "vertex_ai/gemini-3.5-transcribe-preview": { - "input_cost_per_audio_token": 2.5e-06, - "input_cost_per_token": 2.5e-06, + "input_cost_per_audio_token": 2e-06, + "input_cost_per_token": 2e-06, "litellm_provider": "vertex_ai", "mode": "audio_transcription", "output_cost_per_token": 1.2e-05, @@ -56860,6 +56931,27 @@ ], "supports_audio_input": true }, + "vertex_ai/gemini-3.5-live-translate-preview": { + "input_cost_per_audio_token": 3.5e-06, + "input_cost_per_token": 3.5e-06, + "litellm_provider": "vertex_ai", + "mode": "realtime", + "output_cost_per_audio_token": 2.1e-05, + "output_cost_per_token": 2.1e-05, + "source": "https://cloud.google.com/gemini-enterprise-agent-platform/generative-ai/pricing", + "supported_endpoints": [ + "/v1/realtime" + ], + "supported_modalities": [ + "audio" + ], + "supported_output_modalities": [ + "audio", + "text" + ], + "supports_audio_input": true, + "supports_audio_output": true + }, "perplexity/pplx-embed-context-v1-0.6b": { "input_cost_per_token": 8e-09, "litellm_provider": "perplexity", diff --git a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py index 6cc3dcceebc..38bf8c544c7 100644 --- a/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py +++ b/tests/test_litellm/litellm_core_utils/llm_cost_calc/test_tool_call_cost_tracking.py @@ -1,5 +1,6 @@ -import os +import json from collections.abc import Mapping, Sequence +from pathlib import Path import pytest @@ -11,8 +12,6 @@ from litellm.types.llms.openai import FileSearchTool, ResponsesAPIResponse, WebS from litellm.types.utils import ModelResponse, StandardBuiltInToolsParams - - def test_web_search_cost_low(): web_search_options = WebSearchOptions(search_context_size="low") model_info = litellm.get_model_info("gpt-4o-search-preview") @@ -683,12 +682,13 @@ def test_web_search_provider_prefix_fallback_does_not_misprice_non_gemini_model( def _openai_responses_with_web_search_calls(model, num_calls): - from litellm.types.llms.openai import ResponsesAPIResponse from openai.types.responses.response_function_web_search import ( ActionSearch, ResponseFunctionWebSearch, ) + from litellm.types.llms.openai import ResponsesAPIResponse + output = [ ResponseFunctionWebSearch( id=f"ws_{i}", @@ -859,11 +859,64 @@ def test_dated_search_preview_entries_carry_search_pricing(local_model_cost_map) custom_llm_provider="openai", standard_built_in_tools_params=None, ) - assert cost == pytest.approx(0.035), ( - f"dated search-preview id must bill the $0.035 search fee, got ${cost}" + assert cost == pytest.approx(0.025), ( + f"dated search-preview id must bill the $0.025 search fee, got ${cost}" ) +@pytest.mark.parametrize( + "web_search_options", + [ + None, + WebSearchOptions(search_context_size="low"), + WebSearchOptions(search_context_size="medium"), + WebSearchOptions(search_context_size="high"), + ], +) +def test_gpt_4o_mini_snapshot_bills_web_search_like_its_alias( + web_search_options, local_model_cost_map +): + """Snapshot and alias must bill web search identically: OpenAI lists preview search at $25 per 1k calls.""" + alias_info = litellm.get_model_info("gpt-4o-mini") + snapshot_info = litellm.get_model_info("gpt-4o-mini-2024-07-18") + + assert snapshot_info["supports_web_search"] is True + assert alias_info["supports_web_search"] is True + + snapshot_cost = StandardBuiltInToolCostTracking.get_cost_for_web_search( + web_search_options=web_search_options, model_info=snapshot_info + ) + alias_cost = StandardBuiltInToolCostTracking.get_cost_for_web_search( + web_search_options=web_search_options, model_info=alias_info + ) + + assert snapshot_cost == alias_cost == 0.025 + + +def test_gpt_4o_mini_web_search_price_matches_in_both_cost_maps(): + """The bundled backup and canonical file are both served to deployments, so both must carry the price.""" + repo_root = Path(__file__).parents[4] + cost_maps = tuple( + json.loads((repo_root / path).read_text(encoding="utf-8")) + for path in ( + "model_prices_and_context_window.json", + "litellm/model_prices_and_context_window_backup.json", + ) + ) + canonical, backup = cost_maps + expected_search_price = { + "search_context_size_low": 0.025, + "search_context_size_medium": 0.025, + "search_context_size_high": 0.025, + } + for model_name in ("gpt-4o-mini", "gpt-4o-mini-2024-07-18"): + canonical_entry = canonical[model_name] + backup_entry = backup[model_name] + assert canonical_entry["search_context_cost_per_query"] == expected_search_price + assert backup_entry["search_context_cost_per_query"] == expected_search_price + assert canonical_entry == backup_entry + + # Note: File search integration test removed due to complex annotation detection logic # The unit tests in test_azure_assistant_cost_tracking.py provide comprehensive coverage diff --git a/tests/test_litellm/llms/vertex_ai/audio_transcription/test_vertex_ai_gemini_transcribe_transformation.py b/tests/test_litellm/llms/vertex_ai/audio_transcription/test_vertex_ai_gemini_transcribe_transformation.py index eadd87d9c92..08e46b1ffac 100644 --- a/tests/test_litellm/llms/vertex_ai/audio_transcription/test_vertex_ai_gemini_transcribe_transformation.py +++ b/tests/test_litellm/llms/vertex_ai/audio_transcription/test_vertex_ai_gemini_transcribe_transformation.py @@ -322,8 +322,8 @@ class TestModelCostEntry: entry = json.load(f)["vertex_ai/gemini-3.5-transcribe-preview"] assert entry["mode"] == "audio_transcription" assert entry["litellm_provider"] == "vertex_ai" - assert entry["input_cost_per_audio_token"] == pytest.approx(2.5e-06) - assert entry["input_cost_per_token"] == pytest.approx(2.5e-06) + assert entry["input_cost_per_audio_token"] == pytest.approx(2e-06) + assert entry["input_cost_per_token"] == pytest.approx(2e-06) assert entry["output_cost_per_token"] == pytest.approx(1.2e-05) assert entry["supported_endpoints"] == ["/v1/audio/transcriptions"]