Frontier AI models: the top of each vendor's range and its cost

Frontier tier
Services found: 41
#AI modelCapabilitiesAPI $/1M (in / out)Context windowPrice / moOutput $/1MOverviewVisit site
41

Mistral Large 3

Mistral AI
Text & chatVisionReasoning
$0.5 / $1.5256K tokensAPI only1.5View

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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.

Best available, priciestThe ceiling of current capability, at the top of the price list.
Hard to detect errorsWorth paying where mistakes are subtle and expensive, not where they are obvious.
Escalation targetMost efficient as the second step, not the default.

Models with this capability

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.

Common mistakes

Frontier by defaultThe most common way to multiply an AI budget with no measurable gain.
Ignoring the mid tierSonnet 5 and GPT-5.6 Terra close most of the gap for a fifth of the price.

Who this suits

Legal and financeWhere a missed clause or condition carries real cost.
Agentic systemsLong runs where early errors compound.
Research and strategySynthesis across conflicting material.

Frequently asked questions

When is the frontier tier worth it?

Where being wrong is costly and hard to detect: legal and financial analysis, architecture decisions, long agentic runs.

When is it a waste?

Classification, routing and summarising short text. A small model does these identically for a fifth of the price.

What is the sensible pattern?

A cheap model by default, escalating to the frontier on low confidence or high complexity.

Is the frontier tier worth it for coding?

For large cross-file refactors, yes. For routine code a dedicated coding model is cheaper and close.

How often does the frontier change?

Every major vendor shipped a new generation in 2026. Expect annual movement.

Frequently searched

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