Methodology · how to read the data
Our contribution is the real price axis. Capability scores come from independent leaderboards, with their original context preserved.
Allowances assume saturated use. Lower usage increases your effective price. All token types count equally: input, output, cache reads, and cache writes in measured totals. We do not adjust for tokenizer differences or utilization.
A month defaults to 4 weeks. Kimi has an independent monthly pool equal to five weekly pools; Droid's month is 2× its weekly allowance. Model allowances within the same plan are alternatives and must not be summed.
Dollar/credit pools priced at public rates and metered APIs are converted using the same three-part workload; for Anthropic models the input share is priced at the 5-minute cache-write rate. Measured samples that include a token breakdown are converted to list-worth at public prices and then to the channel's workload (low-cache for Google and StepFun, Anthropic for Claude); samples without a breakdown and official token tables keep raw totals and are flagged as not workload-normalized. Vendor dashboard dollars are calibrated from measured usage, not treated as public-price dollars.
This is a comparison convention, not a measured workload. Cache-write charges are modeled only in the Anthropic workload (input share at the 5-minute cache-write rate); other channels with write fees may still see overstated allowances.
Each leaderboard uses one selected snapshot; different benchmark versions are never mixed. Code Arena refers to WebDev Overall, not general coding ability. The default view is each model's highest-score configuration; every archived configuration and the reasoning-effort filter remain available. Harness, reasoning effort, service mode, and known score intervals are retained.
Mappings do not verify a subscription’s harness or quota-measurement effort. Missing scores remain missing. Qualitative confidence is not a numerical error bar, and score intervals do not change frontier membership.
High: dashboard back-calculations, controlled saturation measurements, or official absolute-token/credit tables. Medium: usage logs plus quota reports, or official ratios applied to a strong baseline. Low: single reports, third-party summaries, and cross-plan assumptions.
Conflicting historical evidence is archived. The adopted decision and its rationale are exposed for every point. Original evidence text is preserved in its source language.
Currency conversion: 1 USD = 6.7787 CNY · 2026-09-04 · CFETS central parity, via Xinhua
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