USE-CASE GUIDES

Best flagship LLM API for maximum capability

When the task genuinely needs the largest, most capable model a provider offers — not the mid-tier one — here's every flagship-tier model we track, cheapest first.

When a task genuinely needs a provider's strongest available model — complex reasoning, nuanced writing, difficult edge cases — price becomes secondary to capability, but it's still worth knowing what the ceiling costs first. These are the models each provider markets as its flagship tier, sorted by input price ascending.

ℹ️How this list is built: Filtered to the flagship tier, sorted by input price ascending.
5 models
Model Provider Input /1M Output /1M Context
Google $2.00 $12.00 ≤200K tokens tier
xAI $2.00 $6.00 500K tokens
Anthropic $5.00 $25.00 1M tokens
Anthropic $10.00 $50.00 1M tokens
OpenAI $10.00 $50.00 ~1.05M tokens

We don't benchmark task-specific quality — this shortlist is built from verified price and published context window only. Use it to narrow candidates by cost, then evaluate output quality yourself.

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Frequently asked questions

We classify a model as flagship, balanced, or budget based on how the provider itself positions it in its own lineup and pricing page — not on a benchmark score we ran.

We don't test capability, so we can't say. Treat this list as a price map of the flagship tier, not a quality ranking.

Typically because a wrong answer is expensive to catch or fix downstream, or the task needs handling that budget and balanced models are more likely to get wrong. If errors are cheap to catch and retry, a cheaper tier is often the better economic choice.