diff --git a/integration/embed_truncation_test.go b/integration/embed_truncation_test.go
new file mode 100644
index 0000000000..fccc6d9b6c
--- /dev/null
+++ b/integration/embed_truncation_test.go
@@ -0,0 +1,145 @@
+//go:build integration
+
+package integration
+
+import (
+	"context"
+	"strings"
+	"testing"
+	"time"
+
+	"github.com/ollama/ollama/api"
+)
+
+func TestEmbedTruncationRefactor(t *testing.T) {
+	ctx, cancel := context.WithTimeout(context.Background(), 3*time.Minute)
+	defer cancel()
+	client, _, cleanup := InitServerConnection(ctx, t)
+	defer cleanup()
+
+	t.Run("single input token count", func(t *testing.T) {
+		req := api.EmbedRequest{
+			Model: "all-minilm",
+			Input: "why is the sky blue?",
+		}
+
+		res, err := embedTestHelper(ctx, client, t, req)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		if res.PromptEvalCount <= 0 {
+			t.Fatalf("expected positive token count, got %d", res.PromptEvalCount)
+		}
+	})
+
+	t.Run("batch parallel token counting", func(t *testing.T) {
+		req := api.EmbedRequest{
+			Model: "all-minilm",
+			Input: []string{"cat", "dog and mouse", "bird"},
+		}
+
+		res, err := embedTestHelper(ctx, client, t, req)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		if len(res.Embeddings) != 3 {
+			t.Fatalf("expected 3 embeddings, got %d", len(res.Embeddings))
+		}
+
+		if res.PromptEvalCount <= 0 {
+			t.Fatalf("expected positive token count, got %d", res.PromptEvalCount)
+		}
+	})
+
+	t.Run("truncation single input", func(t *testing.T) {
+		truncTrue := true
+		longInput := strings.Repeat("word ", 100)
+
+		req := api.EmbedRequest{
+			Model:    "all-minilm",
+			Input:    longInput,
+			Truncate: &truncTrue,
+			Options:  map[string]any{"num_ctx": 50},
+		}
+
+		res, err := embedTestHelper(ctx, client, t, req)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		if res.PromptEvalCount > 50 {
+			t.Fatalf("expected tokens <= 50 after truncation, got %d", res.PromptEvalCount)
+		}
+
+		if res.PromptEvalCount == 0 {
+			t.Fatal("expected non-zero token count after truncation")
+		}
+	})
+
+	t.Run("truncation batch", func(t *testing.T) {
+		truncTrue := true
+		req := api.EmbedRequest{
+			Model:    "all-minilm",
+			Input:    []string{"short", strings.Repeat("long ", 100), "medium text"},
+			Truncate: &truncTrue,
+			Options:  map[string]any{"num_ctx": 30},
+		}
+
+		res, err := embedTestHelper(ctx, client, t, req)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		if len(res.Embeddings) != 3 {
+			t.Fatalf("expected 3 embeddings, got %d", len(res.Embeddings))
+		}
+
+		if res.PromptEvalCount > 90 {
+			t.Fatalf("expected tokens <= 90 (3 × 30 max), got %d", res.PromptEvalCount)
+		}
+	})
+
+	t.Run("truncate false error", func(t *testing.T) {
+		truncFalse := false
+		req := api.EmbedRequest{
+			Model:    "all-minilm",
+			Input:    strings.Repeat("word ", 100),
+			Truncate: &truncFalse,
+			Options:  map[string]any{"num_ctx": 10},
+		}
+
+		_, err := embedTestHelper(ctx, client, t, req)
+		if err == nil {
+			t.Fatal("expected error when truncate=false with long input")
+		}
+
+		if !strings.Contains(err.Error(), "exceeds maximum context length") {
+			t.Fatalf("expected context length error, got: %v", err)
+		}
+	})
+
+	t.Run("runner token count accuracy", func(t *testing.T) {
+		baseline := api.EmbedRequest{Model: "all-minilm", Input: "test"}
+		baseRes, err := embedTestHelper(ctx, client, t, baseline)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		batch := api.EmbedRequest{
+			Model: "all-minilm",
+			Input: []string{"test", "test", "test"},
+		}
+		batchRes, err := embedTestHelper(ctx, client, t, batch)
+		if err != nil {
+			t.Fatal(err)
+		}
+
+		expectedCount := baseRes.PromptEvalCount * 3
+		if batchRes.PromptEvalCount < expectedCount-2 || batchRes.PromptEvalCount > expectedCount+2 {
+			t.Fatalf("expected ~%d tokens (3 × %d), got %d",
+				expectedCount, baseRes.PromptEvalCount, batchRes.PromptEvalCount)
+		}
+	})
+}