diff --git a/mteb/models/voyage_models.py b/mteb/models/voyage_models.py
index 2d3b3b100f..8a222e5d9d 100644
--- a/mteb/models/voyage_models.py
+++ b/mteb/models/voyage_models.py
@@ -16,6 +16,24 @@
     # synthetic data
 }
 
+# Total token limits per model based on VoyageAI documentation
+VOYAGE_TOTAL_TOKEN_LIMITS = {
+    "voyage-3.5-lite": 1_000_000,
+    "voyage-3.5": 320_000,
+    "voyage-2": 320_000,
+    "voyage-3-large": 120_000,
+    "voyage-code-3": 120_000,
+    "voyage-large-2-instruct": 120_000,
+    "voyage-finance-2": 120_000,
+    "voyage-multilingual-2": 120_000,
+    "voyage-law-2": 120_000,
+    "voyage-large-2": 120_000,
+    "voyage-3": 120_000,
+    "voyage-3-lite": 120_000,
+    "voyage-code-2": 120_000,
+    "voyage-3-m-exp": 120_000,
+}
+
 
 def token_limit(max_tpm: int, interval: int = 60):
     limit_interval_start_ts = time.time()
@@ -75,6 +93,7 @@ def __init__(
         max_retries: int = 5,
         max_rpm: int = 300,
         max_tpm: int = 1_000_000,
+        max_tokens: int | None = None,
         model_prompts: dict[str, str] | None = None,
         **kwargs,
     ) -> None:
@@ -85,17 +104,32 @@ def __init__(
         self._embed_func = rate_limit(max_rpm)(token_limit(max_tpm)(self._client.embed))
         self._model_name = model_name
         self._max_tpm = max_tpm
+        self._max_tokens = max_tokens
         self.model_prompts = self.validate_task_to_prompt_name(model_prompts)
 
+    def _calculate_default_batch_size(self) -> int:
+        """Calculate the default batch size based on total token limit and context length.
+
+        Formula: floor(total_token_limit / context_length)
+        """
+        if self._max_tokens is None:
+            return 32  # fallback to original default
+
+        total_token_limit = VOYAGE_TOTAL_TOKEN_LIMITS.get(self._model_name, 120_000)
+        return max(1, total_token_limit // self._max_tokens)
+
     def encode(
         self,
         sentences: list[str],
         *,
-        batch_size: int = 32,
+        batch_size: int | None = None,
         task_name: str,
         prompt_type: PromptType | None = None,
         **kwargs: Any,
     ) -> np.ndarray:
+        if batch_size is None:
+            batch_size = self._calculate_default_batch_size()
+
         prompt_name = self.get_prompt_name(self.model_prompts, task_name, prompt_type)
         input_type = self.model_prompts.get(prompt_name, "document")
 
@@ -149,6 +183,7 @@ def _batched_encode(
     loader=partial(
         VoyageWrapper,
         model_name="voyage-3.5",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,
@@ -174,6 +209,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-large-2-instruct",
+        max_tokens=16000,
         model_prompts=model_prompts,
     ),
     max_tokens=16000,
@@ -199,6 +235,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-finance-2",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,
@@ -224,6 +261,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-law-2",
+        max_tokens=16000,
         model_prompts=model_prompts,
     ),
     max_tokens=16000,
@@ -249,6 +287,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-code-2",
+        max_tokens=16000,
         model_prompts=model_prompts,
     ),
     max_tokens=16000,
@@ -274,6 +313,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-code-3",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,
@@ -300,6 +340,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-large-2",
+        max_tokens=16000,
         model_prompts=model_prompts,
     ),
     max_tokens=16000,
@@ -325,6 +366,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-2",
+        max_tokens=4000,
         model_prompts=model_prompts,
     ),
     max_tokens=4000,
@@ -349,6 +391,7 @@ def _batched_encode(
     loader=partial(  # type: ignore
         VoyageWrapper,
         model_name="voyage-multilingual-2",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,
@@ -374,6 +417,7 @@ def _batched_encode(
     loader=partial(
         VoyageWrapper,
         model_name="voyage-3",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,
@@ -399,6 +443,7 @@ def _batched_encode(
     loader=partial(
         VoyageWrapper,
         model_name="voyage-3-lite",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,
@@ -424,6 +469,7 @@ def _batched_encode(
     loader=partial(
         VoyageWrapper,
         model_name="voyage-3-m-exp",
+        max_tokens=32000,
         model_prompts=model_prompts,
     ),
     max_tokens=32000,