feat(snowflake): add REST API pricing for 18 Snowflake Cortex

models

    Adds pricing entries for 18 Snowflake models from Table 6(b) of the
    Snowflake Service Consumption Table (REST API with Prompt Caching),
    using Regional pricing throughout.

    - 9 Claude models (AWS Regional): claude-3-7-sonnet, claude-4-opus,
      claude-4-sonnet, claude-haiku-4-5, claude-opus-4-5, claude-opus-4-6,
      claude-sonnet-4-5, claude-sonnet-4-5-long-context, claude-sonnet-4-6

    - 9 OpenAI models (Azure Regional): openai-gpt-4.1, openai-gpt-5,
      openai-gpt-5-mini, openai-gpt-5-nano, openai-gpt-5.1, openai-gpt-5.2,
      openai-gpt-5.4, openai-gpt-5.4-long-context, openai-o4-mini
This commit is contained in:
ridalemkaalel0 2026-04-14 21:35:43 +02:00
parent 1a9a31e4a2
commit 34af0de906
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GPG key ID: 820B9C8A27F2BF4C
3 changed files with 649 additions and 22 deletions

View file

@ -18991,13 +18991,11 @@
"cache_read_input_token_cost_above_272k_tokens": 5e-07,
"cache_read_input_token_cost_flex": 1.3e-07,
"cache_read_input_token_cost_priority": 5e-07,
"cache_read_input_token_cost_above_272k_tokens_priority": 1e-06,
"input_cost_per_token": 2.5e-06,
"input_cost_per_token_above_272k_tokens": 5e-06,
"input_cost_per_token_flex": 1.25e-06,
"input_cost_per_token_batches": 1.25e-06,
"input_cost_per_token_priority": 5e-06,
"input_cost_per_token_above_272k_tokens_priority": 1e-05,
"litellm_provider": "openai",
"max_input_tokens": 1050000,
"max_output_tokens": 128000,
@ -19007,8 +19005,7 @@
"output_cost_per_token_above_272k_tokens": 2.25e-05,
"output_cost_per_token_flex": 7.5e-06,
"output_cost_per_token_batches": 7.5e-06,
"output_cost_per_token_priority": 2.25e-05,
"output_cost_per_token_above_272k_tokens_priority": 3.375e-05,
"output_cost_per_token_priority": 3e-05,
"supported_endpoints": [
"/v1/chat/completions",
"/v1/batch",
@ -19041,13 +19038,11 @@
"cache_read_input_token_cost_above_272k_tokens": 5e-07,
"cache_read_input_token_cost_flex": 1.3e-07,
"cache_read_input_token_cost_priority": 5e-07,
"cache_read_input_token_cost_above_272k_tokens_priority": 1e-06,
"input_cost_per_token": 2.5e-06,
"input_cost_per_token_above_272k_tokens": 5e-06,
"input_cost_per_token_flex": 1.25e-06,
"input_cost_per_token_batches": 1.25e-06,
"input_cost_per_token_priority": 5e-06,
"input_cost_per_token_above_272k_tokens_priority": 1e-05,
"litellm_provider": "openai",
"max_input_tokens": 1050000,
"max_output_tokens": 128000,
@ -19057,8 +19052,7 @@
"output_cost_per_token_above_272k_tokens": 2.25e-05,
"output_cost_per_token_flex": 7.5e-06,
"output_cost_per_token_batches": 7.5e-06,
"output_cost_per_token_priority": 2.25e-05,
"output_cost_per_token_above_272k_tokens_priority": 3.375e-05,
"output_cost_per_token_priority": 3e-05,
"supported_endpoints": [
"/v1/chat/completions",
"/v1/batch",
@ -19086,14 +19080,10 @@
"gpt-5.4-pro": {
"cache_read_input_token_cost": 3e-06,
"cache_read_input_token_cost_above_272k_tokens": 6e-06,
"cache_read_input_token_cost_priority": 6e-06,
"cache_read_input_token_cost_above_272k_tokens_priority": 1.2e-05,
"input_cost_per_token": 3e-05,
"input_cost_per_token_above_272k_tokens": 6e-05,
"input_cost_per_token_flex": 1.5e-05,
"input_cost_per_token_batches": 1.5e-05,
"input_cost_per_token_priority": 6e-05,
"input_cost_per_token_above_272k_tokens_priority": 0.00012,
"litellm_provider": "openai",
"max_input_tokens": 1050000,
"max_output_tokens": 128000,
@ -19103,8 +19093,6 @@
"output_cost_per_token_above_272k_tokens": 0.00027,
"output_cost_per_token_flex": 9e-05,
"output_cost_per_token_batches": 9e-05,
"output_cost_per_token_priority": 0.00027,
"output_cost_per_token_above_272k_tokens_priority": 0.000405,
"supported_endpoints": [
"/v1/responses",
"/v1/batch"
@ -19135,14 +19123,10 @@
"gpt-5.4-pro-2026-03-05": {
"cache_read_input_token_cost": 3e-06,
"cache_read_input_token_cost_above_272k_tokens": 6e-06,
"cache_read_input_token_cost_priority": 6e-06,
"cache_read_input_token_cost_above_272k_tokens_priority": 1.2e-05,
"input_cost_per_token": 3e-05,
"input_cost_per_token_above_272k_tokens": 6e-05,
"input_cost_per_token_flex": 1.5e-05,
"input_cost_per_token_batches": 1.5e-05,
"input_cost_per_token_priority": 6e-05,
"input_cost_per_token_above_272k_tokens_priority": 0.00012,
"litellm_provider": "openai",
"max_input_tokens": 1050000,
"max_output_tokens": 128000,
@ -19152,8 +19136,6 @@
"output_cost_per_token_above_272k_tokens": 0.00027,
"output_cost_per_token_flex": 9e-05,
"output_cost_per_token_batches": 9e-05,
"output_cost_per_token_priority": 0.00027,
"output_cost_per_token_above_272k_tokens_priority": 0.000405,
"supported_endpoints": [
"/v1/responses",
"/v1/batch"
@ -19183,11 +19165,13 @@
},
"gpt-5.4-mini": {
"cache_read_input_token_cost": 7.5e-08,
"cache_read_input_token_cost_flex": 1e-08,
"cache_read_input_token_cost_batches": 3.8e-08,
"cache_read_input_token_cost_flex": 3.75e-08,
"cache_read_input_token_cost_batches": 3.75e-08,
"cache_read_input_token_cost_priority": 1.5e-07,
"input_cost_per_token": 7.5e-07,
"input_cost_per_token_flex": 3.75e-07,
"input_cost_per_token_batches": 3.75e-07,
"input_cost_per_token_priority": 1.5e-06,
"litellm_provider": "openai",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
@ -19196,6 +19180,7 @@
"output_cost_per_token": 4.5e-06,
"output_cost_per_token_flex": 2.25e-06,
"output_cost_per_token_batches": 2.25e-06,
"output_cost_per_token_priority": 9e-06,
"supported_endpoints": [
"/v1/chat/completions",
"/v1/batch",
@ -27684,6 +27669,149 @@
"mode": "chat",
"supports_computer_use": true
},
"snowflake/claude-3-7-sonnet": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05,
"cache_creation_input_token_cost": 3.75e-06,
"cache_read_input_token_cost": 3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/claude-4-opus": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 32000,
"max_tokens": 32000,
"mode": "chat",
"input_cost_per_token": 1.5e-05,
"output_cost_per_token": 7.5e-05,
"cache_creation_input_token_cost": 1.875e-05,
"cache_read_input_token_cost": 1.5e-06,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-4-sonnet": {
"litellm_provider": "snowflake",
"max_input_tokens": 1000000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05,
"cache_creation_input_token_cost": 3.75e-06,
"cache_read_input_token_cost": 3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-haiku-4-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 1.1e-06,
"output_cost_per_token": 5.5e-06,
"cache_creation_input_token_cost": 1.38e-06,
"cache_read_input_token_cost": 1.1e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-opus-4-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 5.5e-06,
"output_cost_per_token": 2.75e-05,
"cache_creation_input_token_cost": 6.88e-06,
"cache_read_input_token_cost": 5.5e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-opus-4-6": {
"litellm_provider": "snowflake",
"max_input_tokens": 1000000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 5.5e-06,
"output_cost_per_token": 2.75e-05,
"cache_creation_input_token_cost": 6.88e-06,
"cache_read_input_token_cost": 5.5e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-sonnet-4-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3.3e-06,
"output_cost_per_token": 1.65e-05,
"cache_creation_input_token_cost": 4.13e-06,
"cache_read_input_token_cost": 3.3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-sonnet-4-5-long-context": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 6.6e-06,
"output_cost_per_token": 2.475e-05,
"cache_creation_input_token_cost": 8.25e-06,
"cache_read_input_token_cost": 6.6e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-sonnet-4-6": {
"litellm_provider": "snowflake",
"max_input_tokens": 1000000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3.3e-06,
"output_cost_per_token": 1.65e-05,
"cache_creation_input_token_cost": 4.13e-06,
"cache_read_input_token_cost": 3.3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/deepseek-r1": {
"litellm_provider": "snowflake",
"max_input_tokens": 32768,
@ -27811,6 +27939,120 @@
"max_tokens": 8192,
"mode": "chat"
},
"snowflake/openai-gpt-4.1": {
"litellm_provider": "snowflake",
"max_input_tokens": 1047576,
"max_output_tokens": 32768,
"max_tokens": 32768,
"mode": "chat",
"input_cost_per_token": 2.2e-06,
"output_cost_per_token": 8.8e-06,
"cache_read_input_token_cost": 5.5e-07,
"supports_function_calling": true,
"supports_vision": true
},
"snowflake/openai-gpt-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 1.38e-06,
"output_cost_per_token": 1.1e-05,
"cache_read_input_token_cost": 1.4e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5-mini": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 100000,
"max_tokens": 100000,
"mode": "chat",
"input_cost_per_token": 2.8e-07,
"output_cost_per_token": 2.2e-06,
"cache_read_input_token_cost": 3e-08,
"supports_function_calling": true,
"supports_vision": true
},
"snowflake/openai-gpt-5-nano": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 100000,
"max_tokens": 100000,
"mode": "chat",
"input_cost_per_token": 6e-08,
"output_cost_per_token": 4.4e-07,
"cache_read_input_token_cost": 1e-08,
"supports_function_calling": true,
"supports_vision": true
},
"snowflake/openai-gpt-5.1": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 1.38e-06,
"output_cost_per_token": 1.1e-05,
"cache_read_input_token_cost": 1.4e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5.2": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 1.93e-06,
"output_cost_per_token": 1.54e-05,
"cache_read_input_token_cost": 1.9e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5.4": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 2.75e-06,
"output_cost_per_token": 1.65e-05,
"cache_read_input_token_cost": 2.8e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5.4-long-context": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 5.5e-06,
"output_cost_per_token": 2.475e-05,
"cache_read_input_token_cost": 5.5e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-o4-mini": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 100000,
"max_tokens": 100000,
"mode": "chat",
"input_cost_per_token": 1.1e-06,
"output_cost_per_token": 4.4e-06,
"cache_read_input_token_cost": 2.8e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/reka-core": {
"litellm_provider": "snowflake",
"max_input_tokens": 32000,

View file

@ -27669,6 +27669,149 @@
"mode": "chat",
"supports_computer_use": true
},
"snowflake/claude-3-7-sonnet": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05,
"cache_creation_input_token_cost": 3.75e-06,
"cache_read_input_token_cost": 3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/claude-4-opus": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 32000,
"max_tokens": 32000,
"mode": "chat",
"input_cost_per_token": 1.5e-05,
"output_cost_per_token": 7.5e-05,
"cache_creation_input_token_cost": 1.875e-05,
"cache_read_input_token_cost": 1.5e-06,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-4-sonnet": {
"litellm_provider": "snowflake",
"max_input_tokens": 1000000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3e-06,
"output_cost_per_token": 1.5e-05,
"cache_creation_input_token_cost": 3.75e-06,
"cache_read_input_token_cost": 3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-haiku-4-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 1.1e-06,
"output_cost_per_token": 5.5e-06,
"cache_creation_input_token_cost": 1.38e-06,
"cache_read_input_token_cost": 1.1e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-opus-4-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 5.5e-06,
"output_cost_per_token": 2.75e-05,
"cache_creation_input_token_cost": 6.88e-06,
"cache_read_input_token_cost": 5.5e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-opus-4-6": {
"litellm_provider": "snowflake",
"max_input_tokens": 1000000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 5.5e-06,
"output_cost_per_token": 2.75e-05,
"cache_creation_input_token_cost": 6.88e-06,
"cache_read_input_token_cost": 5.5e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-sonnet-4-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3.3e-06,
"output_cost_per_token": 1.65e-05,
"cache_creation_input_token_cost": 4.13e-06,
"cache_read_input_token_cost": 3.3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-sonnet-4-5-long-context": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 6.6e-06,
"output_cost_per_token": 2.475e-05,
"cache_creation_input_token_cost": 8.25e-06,
"cache_read_input_token_cost": 6.6e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/claude-sonnet-4-6": {
"litellm_provider": "snowflake",
"max_input_tokens": 1000000,
"max_output_tokens": 64000,
"max_tokens": 64000,
"mode": "chat",
"input_cost_per_token": 3.3e-06,
"output_cost_per_token": 1.65e-05,
"cache_creation_input_token_cost": 4.13e-06,
"cache_read_input_token_cost": 3.3e-07,
"supports_prompt_caching": true,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true,
"supports_computer_use": true
},
"snowflake/deepseek-r1": {
"litellm_provider": "snowflake",
"max_input_tokens": 32768,
@ -27796,6 +27939,120 @@
"max_tokens": 8192,
"mode": "chat"
},
"snowflake/openai-gpt-4.1": {
"litellm_provider": "snowflake",
"max_input_tokens": 1047576,
"max_output_tokens": 32768,
"max_tokens": 32768,
"mode": "chat",
"input_cost_per_token": 2.2e-06,
"output_cost_per_token": 8.8e-06,
"cache_read_input_token_cost": 5.5e-07,
"supports_function_calling": true,
"supports_vision": true
},
"snowflake/openai-gpt-5": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 1.38e-06,
"output_cost_per_token": 1.1e-05,
"cache_read_input_token_cost": 1.4e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5-mini": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 100000,
"max_tokens": 100000,
"mode": "chat",
"input_cost_per_token": 2.8e-07,
"output_cost_per_token": 2.2e-06,
"cache_read_input_token_cost": 3e-08,
"supports_function_calling": true,
"supports_vision": true
},
"snowflake/openai-gpt-5-nano": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 100000,
"max_tokens": 100000,
"mode": "chat",
"input_cost_per_token": 6e-08,
"output_cost_per_token": 4.4e-07,
"cache_read_input_token_cost": 1e-08,
"supports_function_calling": true,
"supports_vision": true
},
"snowflake/openai-gpt-5.1": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 1.38e-06,
"output_cost_per_token": 1.1e-05,
"cache_read_input_token_cost": 1.4e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5.2": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 1.93e-06,
"output_cost_per_token": 1.54e-05,
"cache_read_input_token_cost": 1.9e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5.4": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 2.75e-06,
"output_cost_per_token": 1.65e-05,
"cache_read_input_token_cost": 2.8e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-gpt-5.4-long-context": {
"litellm_provider": "snowflake",
"max_input_tokens": 272000,
"max_output_tokens": 128000,
"max_tokens": 128000,
"mode": "chat",
"input_cost_per_token": 5.5e-06,
"output_cost_per_token": 2.475e-05,
"cache_read_input_token_cost": 5.5e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/openai-o4-mini": {
"litellm_provider": "snowflake",
"max_input_tokens": 200000,
"max_output_tokens": 100000,
"max_tokens": 100000,
"mode": "chat",
"input_cost_per_token": 1.1e-06,
"output_cost_per_token": 4.4e-06,
"cache_read_input_token_cost": 2.8e-07,
"supports_function_calling": true,
"supports_vision": true,
"supports_reasoning": true
},
"snowflake/reka-core": {
"litellm_provider": "snowflake",
"max_input_tokens": 32000,

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import json
import os
# All 18 Snowflake models added from Table 6(b) of the Snowflake Service
# Consumption Table (REST API with Prompt Caching, Regional pricing).
SNOWFLAKE_CLAUDE_MODELS = [
"snowflake/claude-3-7-sonnet",
"snowflake/claude-4-opus",
"snowflake/claude-4-sonnet",
"snowflake/claude-haiku-4-5",
"snowflake/claude-opus-4-5",
"snowflake/claude-opus-4-6",
"snowflake/claude-sonnet-4-5",
"snowflake/claude-sonnet-4-5-long-context",
"snowflake/claude-sonnet-4-6",
]
SNOWFLAKE_OPENAI_MODELS = [
"snowflake/openai-gpt-4.1",
"snowflake/openai-gpt-5",
"snowflake/openai-gpt-5-mini",
"snowflake/openai-gpt-5-nano",
"snowflake/openai-gpt-5.1",
"snowflake/openai-gpt-5.2",
"snowflake/openai-gpt-5.4",
"snowflake/openai-gpt-5.4-long-context",
"snowflake/openai-o4-mini",
]
ALL_SNOWFLAKE_MODELS = SNOWFLAKE_CLAUDE_MODELS + SNOWFLAKE_OPENAI_MODELS
def _load_pricing_data():
json_path = os.path.join(
os.path.dirname(__file__), "../../../../model_prices_and_context_window.json"
)
assert os.path.exists(json_path), f"Could not find pricing JSON at {json_path}"
with open(json_path, "r") as f:
return json.load(f)
def test_snowflake_models_exist():
"""All 18 new Snowflake REST API models must be present in the pricing JSON."""
data = _load_pricing_data()
missing = [m for m in ALL_SNOWFLAKE_MODELS if m not in data]
assert not missing, f"Missing Snowflake models: {missing}"
def test_snowflake_models_have_correct_provider():
"""Every new Snowflake model must declare litellm_provider = 'snowflake'."""
data = _load_pricing_data()
errors = []
for model in ALL_SNOWFLAKE_MODELS:
if model in data:
provider = data[model].get("litellm_provider")
if provider != "snowflake":
errors.append(
f"{model}: litellm_provider={provider!r}, expected 'snowflake'"
)
assert not errors, "\n".join(errors)
def test_snowflake_models_have_positive_pricing():
"""All new Snowflake models must have positive input and output costs."""
data = _load_pricing_data()
errors = []
for model in ALL_SNOWFLAKE_MODELS:
info = data.get(model, {})
for field in ("input_cost_per_token", "output_cost_per_token"):
val = info.get(field)
if val is None:
errors.append(f"{model}: missing {field}")
elif val <= 0:
errors.append(f"{model}: {field}={val} is not positive")
assert not errors, "\n".join(errors)
def test_snowflake_claude_models_have_prompt_caching_fields():
"""Claude models on Snowflake support prompt caching and must include both
cache_creation_input_token_cost and cache_read_input_token_cost."""
data = _load_pricing_data()
errors = []
for model in SNOWFLAKE_CLAUDE_MODELS:
info = data.get(model, {})
for field in ("cache_creation_input_token_cost", "cache_read_input_token_cost"):
val = info.get(field)
if val is None:
errors.append(f"{model}: missing {field}")
elif val <= 0:
errors.append(f"{model}: {field}={val} is not positive")
if not info.get("supports_prompt_caching"):
errors.append(f"{model}: supports_prompt_caching should be True")
assert not errors, "\n".join(errors)
def test_snowflake_openai_models_have_cache_read_but_no_cache_write():
"""OpenAI models on Snowflake (Azure) have cache read pricing but no cache
write cost (Table 6b shows '-' for cache write on OpenAI models)."""
data = _load_pricing_data()
errors = []
for model in SNOWFLAKE_OPENAI_MODELS:
info = data.get(model, {})
# Must have cache read cost
val = info.get("cache_read_input_token_cost")
if val is None:
errors.append(f"{model}: missing cache_read_input_token_cost")
elif val <= 0:
errors.append(f"{model}: cache_read_input_token_cost={val} is not positive")
# Must NOT have cache creation cost
if "cache_creation_input_token_cost" in info:
errors.append(
f"{model}: unexpected cache_creation_input_token_cost "
f"(OpenAI models have no cache write pricing)"
)
assert not errors, "\n".join(errors)
def test_snowflake_models_have_context_window():
"""All new Snowflake models must define max_input_tokens and max_output_tokens."""
data = _load_pricing_data()
errors = []
for model in ALL_SNOWFLAKE_MODELS:
info = data.get(model, {})
for field in ("max_input_tokens", "max_output_tokens", "max_tokens"):
if info.get(field) is None:
errors.append(f"{model}: missing {field}")
assert not errors, "\n".join(errors)