From c22d9208da57bc770563f8e7343a718ee009ba82 Mon Sep 17 00:00:00 2001 From: fzowl <160063452+fzowl@users.noreply.github.com> Date: Tue, 7 Jan 2025 05:38:01 +0100 Subject: [PATCH] Refresh VoyageAI models, prices and context (#7472) * Refresh VoyageAI models and prices and context * Refresh VoyageAI models and prices and context * Refresh VoyageAI models and prices and context --- model_prices_and_context_window.json | 76 +++++++++++++++++++++++++--- 1 file changed, 69 insertions(+), 7 deletions(-) diff --git a/model_prices_and_context_window.json b/model_prices_and_context_window.json index f8815e4f5c..0a8f840ca5 100644 --- a/model_prices_and_context_window.json +++ b/model_prices_and_context_window.json @@ -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,