What Does AI Actually Cost?

Compare input, cache reuse and estimated cost per model call within observed model workloads. Explore request costs separately.

Measured from 1617 assistant runs across 329 conversations (2026-02-12–2026-10-11). Recent runs count more: their weight halves every 30 days.

Model prices updated: 2026-10-23

Input: $2.00/M tokensOutput: $10.00/M tokensCached: $0.10/M tokensContext: 1.0M

Input & Cache Efficiency

Input tokens per model call
140K
Cache-read share of reported input
68.0%
Estimated API cost per model call
10.9¢

3 matched attempts: 3 record model-call counts, 3 record cache usage, and 3 support the cost calculation.

Work throughput: 2.09 recorded tool calls per model call. More tool calls may represent more work; this is not an inefficiency score.

Compare the same model and workload at comparable context sizes and harness versions. Missing cache counters are excluded from cache/cost metrics. Cost uses current model API prices and excludes helper, child, service and cache-write surcharges. System/history/tool-definition attribution and completion quality are not recorded, so these figures cannot establish a harness efficiency trend.

Workload estimates below use 3 recorded attempts from Claude Sonnet 5.5. Unsupported workloads remain unmeasured.

~8 tool calls~4 model callsLimited samples
~7 tool calls~5 model callsLimited samples

Cost per Observed Workload

Average primary-model cost per assistant attempt with Claude Sonnet 5.5; all internal model calls are already included

ActionCostPromptOutputCacheSamples
Multi-page Research
~7 tool calls
49.3¢713K4K71.5%1~est
Read Emails
~8 tool calls
47.1¢711K3K72.3%1~est
Multi-tool Action
~8 tool calls
22.9¢117K4K20.7%1~est

Usage comes from one local profile (329 conversations, 4075 messages), weighted toward recent runs. Matched model/workload groups remain separate. More tool calls and higher total usage can represent more capable execution; totals alone do not measure harness efficiency. Examples cover whole assistant attempts, not fixed recipe steps. Unknown task intent is not inferred from tools. Estimates cover primary-model API tokens only, excluding helpers, child agents, tool fees and cache-write surcharges. Unreported cache gets no discount in request estimates and is excluded from efficiency metrics. Subscription usage is repriced at API rates. You pay providers directly; Caiioo adds no token markup.