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fix(model_prices): registry audit 2026-10-03, add cohere embed v5, grok-imagine-video-1.5-lite and openrouter gpt-image rows (#44376)
* fix(model_prices): registry audit 2026-10-03, add cohere embed v5 and absorb openrouter gpt-image rows Co-authored-by: tinysolver <iam.tinysolver@gmail.com> Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(model_prices): add grok-imagine-video-1.5-lite and gemini 3.5 transcribe limits, drop deprecation-only date Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: tinysolver <iam.tinysolver@gmail.com>
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@ -16085,6 +16085,28 @@
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"input_cost_per_image_token": 4.7e-07,
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"source": "https://cohere.com/pricing"
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},
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"cohere/embed-v5.0-pro": {
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"input_cost_per_token": 1.2e-07,
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"litellm_provider": "cohere",
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"max_input_tokens": 128000,
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"max_tokens": 128000,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 2048,
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"supports_embedding_image_input": true,
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"source": "https://cohere.com/pricing"
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},
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"cohere/embed-v5.0-fast": {
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"input_cost_per_token": 8e-08,
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"litellm_provider": "cohere",
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"max_input_tokens": 128000,
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"max_tokens": 128000,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 2048,
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"supports_embedding_image_input": true,
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"source": "https://cohere.com/pricing"
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},
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"cohere/parse-v5.0": {
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"litellm_provider": "cohere",
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"mode": "ocr",
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@ -61056,6 +61078,9 @@
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"input_cost_per_audio_token": 2e-06,
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"input_cost_per_token": 2e-06,
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"litellm_provider": "gemini",
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"max_input_tokens": 98304,
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"max_output_tokens": 32768,
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"max_tokens": 32768,
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"mode": "audio_transcription",
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"output_cost_per_token": 1.2e-05,
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"source": "https://ai.google.dev/gemini-api/docs/pricing",
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@ -61078,6 +61103,9 @@
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"input_cost_per_audio_token": 3.5e-06,
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"input_cost_per_token": 3.5e-06,
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"litellm_provider": "gemini",
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"max_input_tokens": 131072,
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"max_output_tokens": 65536,
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"max_tokens": 65536,
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"mode": "audio_transcription",
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"output_cost_per_token": 2.1e-05,
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"source": "https://ai.google.dev/gemini-api/docs/pricing",
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@ -64092,6 +64120,23 @@
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"video"
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]
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},
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"xai/grok-imagine-video-1.5-lite": {
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"input_cost_per_image": 0.01,
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"litellm_provider": "xai",
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"mode": "video_generation",
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"output_cost_per_second": 0.02,
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"output_cost_per_second_1080p": 0.14,
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"output_cost_per_second_480p": 0.02,
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"output_cost_per_second_720p": 0.03,
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"source": "https://docs.x.ai/developers/pricing",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"video"
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]
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},
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"xai/grok-imagine-video-1.5-2026-05-30": {
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"input_cost_per_image": 0.01,
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"litellm_provider": "xai",
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@ -75511,6 +75556,42 @@
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"supports_vision": true,
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"supports_web_search": true
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},
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"openrouter/openai/gpt-image-2": {
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"input_cost_per_image_token": 8e-06,
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"input_cost_per_token": 5e-06,
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"litellm_provider": "openrouter",
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"mode": "image_generation",
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"output_cost_per_image_token": 3e-05,
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"source": "https://openrouter.ai/api/v1/images/models/openai/gpt-image-2/endpoints",
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"supported_endpoints": [
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"/v1/images/generations"
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],
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"supports_vision": true
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},
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"openrouter/openai/gpt-image-2.5-flare": {
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"input_cost_per_image_token": 8e-06,
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"input_cost_per_token": 5e-06,
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"litellm_provider": "openrouter",
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"mode": "image_generation",
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"output_cost_per_image_token": 3e-05,
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"source": "https://openrouter.ai/api/v1/images/models/openai/gpt-image-2.5-flare/endpoints",
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"supported_endpoints": [
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"/v1/images/generations"
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],
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"supports_vision": true
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},
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"openrouter/openai/gpt-image-2.5-sunburst": {
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"input_cost_per_image_token": 8e-06,
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"input_cost_per_token": 5e-06,
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"litellm_provider": "openrouter",
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"mode": "image_generation",
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"output_cost_per_image_token": 3e-05,
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"source": "https://openrouter.ai/api/v1/images/models/openai/gpt-image-2.5-sunburst/endpoints",
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"supported_endpoints": [
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"/v1/images/generations"
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],
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"supports_vision": true
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},
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"openrouter/openai/gpt-5.4-mini:batch": {
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"cache_read_input_token_cost": 3.75e-08,
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"input_cost_per_token": 3.75e-07,
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@ -16085,6 +16085,28 @@
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"input_cost_per_image_token": 4.7e-07,
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"source": "https://cohere.com/pricing"
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},
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"cohere/embed-v5.0-pro": {
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"input_cost_per_token": 1.2e-07,
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"litellm_provider": "cohere",
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"max_input_tokens": 128000,
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"max_tokens": 128000,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 2048,
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"supports_embedding_image_input": true,
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"source": "https://cohere.com/pricing"
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},
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"cohere/embed-v5.0-fast": {
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"input_cost_per_token": 8e-08,
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"litellm_provider": "cohere",
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"max_input_tokens": 128000,
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"max_tokens": 128000,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 2048,
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"supports_embedding_image_input": true,
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"source": "https://cohere.com/pricing"
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},
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"cohere/parse-v5.0": {
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"litellm_provider": "cohere",
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"mode": "ocr",
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@ -61056,6 +61078,9 @@
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"input_cost_per_audio_token": 2e-06,
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"input_cost_per_token": 2e-06,
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"litellm_provider": "gemini",
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"max_input_tokens": 98304,
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"max_output_tokens": 32768,
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"max_tokens": 32768,
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"mode": "audio_transcription",
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"output_cost_per_token": 1.2e-05,
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"source": "https://ai.google.dev/gemini-api/docs/pricing",
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@ -61078,6 +61103,9 @@
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"input_cost_per_audio_token": 3.5e-06,
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"input_cost_per_token": 3.5e-06,
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"litellm_provider": "gemini",
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"max_input_tokens": 131072,
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"max_output_tokens": 65536,
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"max_tokens": 65536,
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"mode": "audio_transcription",
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"output_cost_per_token": 2.1e-05,
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"source": "https://ai.google.dev/gemini-api/docs/pricing",
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@ -64092,6 +64120,23 @@
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"video"
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]
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},
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"xai/grok-imagine-video-1.5-lite": {
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"input_cost_per_image": 0.01,
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"litellm_provider": "xai",
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"mode": "video_generation",
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"output_cost_per_second": 0.02,
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"output_cost_per_second_1080p": 0.14,
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"output_cost_per_second_480p": 0.02,
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"output_cost_per_second_720p": 0.03,
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"source": "https://docs.x.ai/developers/pricing",
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"supported_modalities": [
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"text",
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"image"
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],
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"supported_output_modalities": [
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"video"
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]
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},
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"xai/grok-imagine-video-1.5-2026-05-30": {
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"input_cost_per_image": 0.01,
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"litellm_provider": "xai",
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@ -75511,6 +75556,42 @@
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"supports_vision": true,
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"supports_web_search": true
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},
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"openrouter/openai/gpt-image-2": {
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"input_cost_per_image_token": 8e-06,
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"input_cost_per_token": 5e-06,
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"litellm_provider": "openrouter",
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"mode": "image_generation",
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"output_cost_per_image_token": 3e-05,
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"source": "https://openrouter.ai/api/v1/images/models/openai/gpt-image-2/endpoints",
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"supported_endpoints": [
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"/v1/images/generations"
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],
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"supports_vision": true
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},
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"openrouter/openai/gpt-image-2.5-flare": {
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"input_cost_per_image_token": 8e-06,
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"input_cost_per_token": 5e-06,
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"litellm_provider": "openrouter",
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"mode": "image_generation",
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"output_cost_per_image_token": 3e-05,
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"source": "https://openrouter.ai/api/v1/images/models/openai/gpt-image-2.5-flare/endpoints",
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"supported_endpoints": [
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"/v1/images/generations"
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],
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"supports_vision": true
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},
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"openrouter/openai/gpt-image-2.5-sunburst": {
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"input_cost_per_image_token": 8e-06,
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"input_cost_per_token": 5e-06,
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"litellm_provider": "openrouter",
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"mode": "image_generation",
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"output_cost_per_image_token": 3e-05,
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"source": "https://openrouter.ai/api/v1/images/models/openai/gpt-image-2.5-sunburst/endpoints",
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"supported_endpoints": [
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"/v1/images/generations"
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],
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"supports_vision": true
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},
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"openrouter/openai/gpt-5.4-mini:batch": {
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"cache_read_input_token_cost": 3.75e-08,
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"input_cost_per_token": 3.75e-07,
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43
tests/unit/test_openrouter_gpt_image_model_metadata.py
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43
tests/unit/test_openrouter_gpt_image_model_metadata.py
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from pathlib import Path
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from typing import Final
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import pytest
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from pydantic import TypeAdapter
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from litellm import get_model_info
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from litellm.litellm_core_utils.get_llm_provider_logic import get_llm_provider
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REPO_ROOT: Final = Path(__file__).parents[2]
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COST_MAP_ADAPTER: Final = TypeAdapter(dict[str, dict[str, object]])
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MODELS: Final = (
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"openrouter/openai/gpt-image-2",
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"openrouter/openai/gpt-image-2.5-flare",
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"openrouter/openai/gpt-image-2.5-sunburst",
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)
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PRICE_FIELDS: Final = ("input_cost_per_token", "input_cost_per_image_token", "output_cost_per_image_token")
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def _cost_map(path: Path) -> dict[str, dict[str, object]]:
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return COST_MAP_ADAPTER.validate_json(path.read_bytes())
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MAIN_COST_MAP: Final = _cost_map(REPO_ROOT / "model_prices_and_context_window.json")
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BACKUP_COST_MAP: Final = _cost_map(REPO_ROOT / "litellm" / "model_prices_and_context_window_backup.json")
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@pytest.mark.parametrize("model", MODELS)
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def test_openrouter_gpt_image_row_is_identical_in_main_and_backup(model: str) -> None:
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assert model in MAIN_COST_MAP, f"{model} is missing from model_prices_and_context_window.json"
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assert BACKUP_COST_MAP.get(model) == MAIN_COST_MAP[model]
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@pytest.mark.usefixtures("local_model_cost_map")
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@pytest.mark.parametrize("model", MODELS)
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def test_openrouter_gpt_image_model_info_comes_from_the_openrouter_row(model: str) -> None:
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routed_model, provider, _, _ = get_llm_provider(model=model)
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assert (routed_model, provider) == (model.removeprefix("openrouter/"), "openrouter")
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info = get_model_info(model=routed_model, custom_llm_provider=provider)
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row = MAIN_COST_MAP[model]
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assert (info["key"], info["litellm_provider"], info["mode"]) == (model, "openrouter", "image_generation")
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assert {field: info[field] for field in PRICE_FIELDS} == {field: row[field] for field in PRICE_FIELDS}
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