Stop Guessing. Start Comparing.
whichllmmodel is an independent directory built to cut through marketing hype and help developers choose the perfect AI model based on data, not guesses.
Our Story & Mission
Every single month, dozens of foundation text and image models are released by tech giants and open-source communities. As developers, we found ourselves drowning in a sea of parameters: Should we use GPT-5, Claude Sonnet, or Gemini Flash? Which is actually cheaper under heavy production loads? Is the speed difference worth the benchmark trade-off?
We realized that model decision fatigue was slowing down execution times. General comparison sites just dump tables of numbers on you, leaving you to do the manual mental math.
We built whichllmmodel as a tool that puts you in control. By letting you set custom priority weights for coding capability, cost, latency, reasoning accuracy, and context window size, we evaluate the models dynamically to recommend your perfect matches.
Data Collection & Methodology
To maintain absolute transparency, we document exactly how our scores and comparisons are calculated:
Blended CPM Pricing
For LLMs, we calculate a blended Cost Per Million (CPM) tokens assuming a standard **3:1 ratio** of input to output tokens (e.g., 3 input tokens for every 1 output token). This reflects average developer request structures.
Standard Benchmarks
We use trusted evaluations to map intelligence. Coding is scored against **SWE-bench-pro** (or similar code synthesis benchmarks), and reasoning is mapped against **GPQA Diamond** (for graduate-level science and logic).
Latency / Throughput
Speed is represented in **tps (tokens per second)** or speed tiers (for image models), reflecting the average response times under typical api workloads to help developers build real-time responsive products.
E-E-A-T Trust Statement: whichllmmodel is 100% independent. We do not accept sponsorship from model providers to manipulate rankings. Our metrics database is updated monthly directly from official provider pricing tables and open-source benchmark databases.
Zubair Tahir
Founder & Lead Developer
Zubair is a software engineer who frequently builds with AI models and got tired of spending hours debugging, pricing, and benchmark-testing APIs every time a new model was released. He built whichllmmodel to save developers that headache and provide a transparent, community-friendly comparison suite.