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chore: 同步模型价格数据 (4b3288e187307f3e6e12d301730213c03b854ce5eb2de1b7a447249641e4a55b)
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@@ -15831,6 +15831,68 @@
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"max_tokens": 8191,
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"mode": "embedding"
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},
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"gigachat/GigaChat-2-Lite": {
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"input_cost_per_token": 0.0,
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"litellm_provider": "gigachat",
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"max_input_tokens": 128000,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"mode": "chat",
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"output_cost_per_token": 0.0,
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"supports_function_calling": true,
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"supports_system_messages": true
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},
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"gigachat/GigaChat-2-Max": {
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"input_cost_per_token": 0.0,
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"litellm_provider": "gigachat",
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"max_input_tokens": 128000,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"mode": "chat",
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"output_cost_per_token": 0.0,
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"supports_function_calling": true,
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"supports_system_messages": true,
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"supports_vision": true
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},
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"gigachat/GigaChat-2-Pro": {
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"input_cost_per_token": 0.0,
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"litellm_provider": "gigachat",
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"max_input_tokens": 128000,
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"max_output_tokens": 8192,
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"max_tokens": 8192,
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"mode": "chat",
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"output_cost_per_token": 0.0,
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"supports_function_calling": true,
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"supports_system_messages": true,
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"supports_vision": true
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},
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"gigachat/Embeddings": {
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"input_cost_per_token": 0.0,
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"litellm_provider": "gigachat",
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"max_input_tokens": 512,
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"max_tokens": 512,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 1024
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},
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"gigachat/Embeddings-2": {
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"input_cost_per_token": 0.0,
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"litellm_provider": "gigachat",
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"max_input_tokens": 512,
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"max_tokens": 512,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 1024
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},
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"gigachat/EmbeddingsGigaR": {
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"input_cost_per_token": 0.0,
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"litellm_provider": "gigachat",
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"max_input_tokens": 4096,
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"max_tokens": 4096,
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"mode": "embedding",
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"output_cost_per_token": 0.0,
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"output_vector_size": 2560
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},
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"google.gemma-3-12b-it": {
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"input_cost_per_token": 9e-08,
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"litellm_provider": "bedrock_converse",
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