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fix(azure_ai): correct MAI-Image-2.5-Pro pricing to published Pro rates
MAI-Image-2.5-Pro image output is $106 per 1M tokens per Microsoft's Pro announcement, not the $47 per 1M inherited from the base MAI-Image-2.5 tier. Update output_cost_per_image_token to 0.000106, derive the per-image fallback (1024 output tokens per 1024x1024 image) as 0.1085, and point source at the Pro announcement blog.
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3 changed files with 8 additions and 8 deletions
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@ -8647,9 +8647,9 @@
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"input_cost_per_token": 5e-06,
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"litellm_provider": "azure_ai",
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"mode": "image_generation",
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"output_cost_per_image": 0.05,
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"output_cost_per_image_token": 4.7e-05,
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"source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/new-mai-models-in-microsoft-foundry-across-text-image-voice-and-speech/4524632",
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"output_cost_per_image": 0.1085,
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"output_cost_per_image_token": 0.000106,
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"source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-mai-image-2-5-pro-and-mai-voice-2-flash-in-microsoft-foundry/4539446",
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"supported_endpoints": [
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"/v1/images/generations",
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"/v1/images/edits"
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@ -8647,9 +8647,9 @@
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"input_cost_per_token": 5e-06,
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"litellm_provider": "azure_ai",
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"mode": "image_generation",
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"output_cost_per_image": 0.05,
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"output_cost_per_image_token": 4.7e-05,
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"source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/new-mai-models-in-microsoft-foundry-across-text-image-voice-and-speech/4524632",
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"output_cost_per_image": 0.1085,
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"output_cost_per_image_token": 0.000106,
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"source": "https://techcommunity.microsoft.com/blog/azure-ai-foundry-blog/introducing-mai-image-2-5-pro-and-mai-voice-2-flash-in-microsoft-foundry/4539446",
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"supported_endpoints": [
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"/v1/images/generations",
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"/v1/images/edits"
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@ -62,8 +62,8 @@ class TestAzureMAIImageGeneration:
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)
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assert pro_info["input_cost_per_token"] == 5e-06
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assert pro_info["input_cost_per_image_token"] == 8e-06
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assert pro_info["output_cost_per_image_token"] == 4.7e-05
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assert pro_info["output_cost_per_image"] == 0.05
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assert pro_info["output_cost_per_image_token"] == 0.000106
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assert pro_info["output_cost_per_image"] == 0.1085
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image_2e_info = litellm.get_model_info(
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model="azure_ai/MAI-Image-2e",
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