Claude 4.6 Opus
Anthropic's newest Opus-tier model focused on highest-quality reasoning and long-context performance.
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Price distribution shows typical request cost
Quartiles reveal what most runs cost; spikes usually mean long prompts or outputs
- •Median = typical cost per 100 requests for this model
- •Wide spread means costs vary a lot by prompt size or tools
- •Use this to estimate pricing before scaling usage
Price Distribution
Typical price per 100 requests across recent runs
TTFT distribution shows how fast responses start
Lower time-to-first-token means snappier experiences
- •Median TTFT = typical wait before tokens start
- •Wide spread means response speed varies by prompt complexity
- •Aim for lower TTFT on interactive user flows
TTFT Distribution
Provider time-to-first-token distribution
Real builder experiences
Was this model actually good in Pickaxe?
Share wins, failures, and cost/performance tradeoffs with other builders. The more real-world runs, the better the guidance.
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