Stop Guessing Which Model to Use — Look at These 5 Numbers Instead
I’ve watched too many people pick models the wrong way. A coworker said it was good. The name sounded familiar. That’s it.
Then they wonder why their API bill is 3x what it should be, or why the model can’t handle their use case.
You don’t need to be an expert. You need to look at five things.
1. Know what you’re building
Different models are good at different things. Start here:
- Chat / conversation → Usage rankings. When thousands of devs pick a model for chat, the signal is real.
- Code generation → Check if the model description mentions code benchmarks.
- Image understanding → Filter by multimodal (look for the 👁️ icon on our table).
- Long documents → Context window is your main concern.
I know someone doing contract review. They used GPT-4 for a year because it was the default. Then they found a model with 4x the context window at a third the price. Switched, saved money, same quality. Defaults are expensive.
2. Same model, different platform, wildly different price
This is the one that surprises people.
Same exact model. $2/million tokens on OpenRouter. $1.20 on SiliconFlow. That’s 40% gone, for nothing.
Every model page on this site has a cross-platform price table. Look at it before you commit. Don’t leave money on the table.
3. Context window matters more than you think
Models with 128K+ context don’t “forget” the beginning of your conversation halfway through. If you’re feeding in contracts, research papers, or codebases, this matters more than price.
Check the Longest Context leaderboard on the homepage. For document-heavy workflows, it’s your most important filter.
4. Watch the trend, not just the rank
A model at #30 with a green ↑ every week? That’s a signal. Something is catching on.
A model in the top 10 with a red ↓? Users are leaving. Maybe there’s a better alternative. Maybe it went down last week. Either way, pay attention.
5. Use the comparison tool
Pick 3-5 candidates. Throw them into Compare. Price, context, platforms — one screen.
I built this because the human brain is terrible at comparing more than three things at once. The tool does it for you.
Five minutes looking at data beats five hours of blind testing. Every time.