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AI API Models Prices

Last updated: September, 2026

1. What do you need it for?

2. Where will it run?

3. What matters more?

Available Models
Thinks step by step
Reads images
Works with tools
Budget pick
Self-hostable
All Models
Model
Released
Rating
Input / 1M
Output / 1M
Context
Deepgram
Deepgram Base
—
★ 2.5
$0.0125/min
—
o1
—
★ 3.1✓
$15
$60
200K

How to choose from all models

1. Start with the task

Pick a category on the left — reasoning, vision, coding, speech — to narrow hundreds of models down to a handful.

2. Then balance price and rating

Higher-rated models do more, cheaper models save money. Many teams use both, sending each request to the right one.

3. Available vs. coming soon

Models marked as not available yet can't be called here today. Use the Available Models chip to see only what works now.

Frequently asked questions

Why are some models not available?

We list every model we track so you can compare. Not all of them are live on LLM API yet.

How often is the list updated?

Every week.

Can I use all available models with one key?

Yes.

What does the rating for all models mean?

Each model is rated from 1.0 to 5.0 specifically for all. Green is 4.0 and above, yellow 3.0–3.9, red below 3.0. The same model can score differently in another category.

How is the rating calculated?

It comes from public data, not paid reviews: 50% production adoption (public leaderboard standing, routing popularity and download volume), 30% the benchmark that matters for this category, and 20% tooling and value for money (tool calling, structured outputs, context size and price against the category median).

What does the ✓ next to a rating mean?

It means an independent lab — LMArena or Artificial Analysis — has tested the model. Ratings without it are estimated from published specs such as context size, tooling support and price.

How are brand-new frontier models rated?

When a new model has strong independent benchmark results but no public usage data yet, adoption is left out instead of counted as low, and the rating uses 60% benchmark and 40% tooling and value.

How often are ratings updated?

Every week. If a source can't be reached, the previous week's figure is kept.