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Refresh VoyageAI models, prices and context (#7472)

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* Refresh VoyageAI models and prices and context

* Refresh VoyageAI models and prices and context

* Refresh VoyageAI models and prices and context
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fzowl 2025-01-07 05:38:01 +01:00 committed by GitHub
parent 819079f23b
commit c22d9208da
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1 changed files with 69 additions and 7 deletions
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model_prices_and_context_window.json
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@ -7656,6 +7656,22 @@
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-finance-2": {
"max_tokens": 32000,
"max_input_tokens": 32000,
"input_cost_per_token": 0.00000012,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-lite-02-instruct": {
"max_tokens": 4000,
"max_input_tokens": 4000,
"input_cost_per_token": 0.0000001,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-law-2": {
"max_tokens": 16000,
"max_input_tokens": 16000,
@ -7680,22 +7696,68 @@
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-lite-02-instruct": {
"max_tokens": 4000,
"max_input_tokens": 4000,
"input_cost_per_token": 0.0000001,
"voyage/voyage-3-large": {
"max_tokens": 32000,
"max_input_tokens": 32000,
"input_cost_per_token": 0.00000018,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-finance-2": {
"max_tokens": 4000,
"max_input_tokens": 4000,
"voyage/voyage-3": {
"max_tokens": 32000,
"max_input_tokens": 32000,
"input_cost_per_token": 0.00000006,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-3-lite": {
"max_tokens": 32000,
"max_input_tokens": 32000,
"input_cost_per_token": 0.00000002,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-code-3": {
"max_tokens": 32000,
"max_input_tokens": 32000,
"input_cost_per_token": 0.00000018,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/voyage-multimodal-3": {
"max_tokens": 32000,
"max_input_tokens": 32000,
"input_cost_per_token": 0.00000012,
"output_cost_per_token": 0.000000,
"litellm_provider": "voyage",
"mode": "embedding"
},
"voyage/rerank-2": {
"max_tokens": 16000,
"max_input_tokens": 16000,
"max_output_tokens": 16000,
"max_query_tokens": 16000,
"input_cost_per_token": 0.00000005,
"input_cost_per_query": 0.00000005,
"output_cost_per_token": 0.0,
"litellm_provider": "voyage",
"mode": "rerank"
},
"voyage/rerank-2-lite": {
"max_tokens": 8000,
"max_input_tokens": 8000,
"max_output_tokens": 8000,
"max_query_tokens": 8000,
"input_cost_per_token": 0.00000002,
"input_cost_per_query": 0.00000002,
"output_cost_per_token": 0.0,
"litellm_provider": "voyage",
"mode": "rerank"
},
"databricks/databricks-meta-llama-3-1-405b-instruct": {
"max_tokens": 128000,
"max_input_tokens": 128000,