Frontier AI models: the top of each vendor's range and its cost
| # | AI model | Capabilities | API $/1M (in / out) | Context window | Price / mo | Output $/1M | Overview | Visit site |
|---|---|---|---|---|---|---|---|---|
| 41 | Mistral Large 3 Mistral AI | $0.5 / $1.5 | 256K tokens | API only | 1.5 | View |
Browse by need
These 41 are the flagships - each vendor best available model, and the most expensive thing they sell. GPT-6 Astra, Claude Opus 5 and Claude Opus 4.8 sit at the top, with output from $0.60 to $50 per million tokens.
Frontier models earn their price where being wrong is costly and hard to detect: legal and financial analysis, architecture decisions, long agentic runs that compound their own errors. They are poor value for classification, routing or summarising short text. The disciplined pattern is a cheap model by default with escalation on confidence or complexity.
Models with this capability
The 41 models below all support this capability. Prices are input and output per 1M tokens from the vendor official price list; for dirhams multiply by 3.6725. Tap a card to open the model page.
How to choose
- Define what triggers escalation: confidence, task type, or user tier.
- Compare on your own hardest cases — benchmark gaps rarely match production gaps.
- Use caching and batch aggressively; they apply here too and the savings are largest.
- Track cost per resolved task, not cost per call.
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