diff --git a/benchmark.py b/benchmark.py
new file mode 100644
index 0000000000..5188e0c150
--- /dev/null
+++ b/benchmark.py
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+from litellm import completion, completion_cost
+import time
+import click
+from tqdm import tqdm
+from tabulate import tabulate
+from termcolor import colored 
+
+# Define the list of models to benchmark
+models = ['gpt-3.5-turbo', 'togethercomputer/llama-2-70b-chat', 'claude-2']
+
+# List of questions to benchmark (replace with your questions)
+questions = [
+    "When will BerriAI IPO?",
+    "When will LiteLLM hit $100M ARR?"
+]
+
+@click.command()
+@click.option('--system-prompt', default="You are a helpful assistant that can answer questions.", help="System prompt for the conversation.")
+def main(system_prompt):
+    for question in questions:
+        data = []  # Data for the current question
+
+        with tqdm(total=len(models)) as pbar:
+            for model in models:
+                colored_description = colored(f"Running question: {question} for model: {model}", 'green')
+                pbar.set_description(colored_description)
+                start_time = time.time()
+
+                response = completion(
+                    model=model,
+                    max_tokens=500,
+                    messages=[
+                        {"role": "system", "content": system_prompt},
+                        {"role": "user", "content": question}
+                    ],
+                )
+
+                end = time.time()
+                total_time = end - start_time
+                cost = completion_cost(response)
+                raw_response = response['choices'][0]['message']['content']
+
+                data.append({
+                    'Model': colored(model, 'light_blue'),
+                    'Response': raw_response,  # Colorize the response
+                    'ResponseTime': colored(f"{total_time:.2f} seconds", "red"),
+                    'Cost': colored(f"${cost:.6f}", 'green'),  # Colorize the cost
+                })
+
+                pbar.update(1)
+
+        # Separate headers from the data
+        headers = ['Model', 'Response', 'Response Time (seconds)', 'Cost ($)']
+        colwidths = [15, 80, 15, 10]
+
+        # Create a nicely formatted table for the current question
+        table = tabulate([list(d.values()) for d in data], headers, tablefmt="grid", maxcolwidths=colwidths)
+        
+        # Print the table for the current question
+        colored_question = colored(question, 'green')
+        click.echo(f"\nBenchmark Results for '{colored_question}':")
+        click.echo(table)  # Display the formatted table
+
+if __name__ == '__main__':
+    main()