Correction notice — published after this print, disclosing a fact that does not change dated_siu:
08 Sep 2026 — A reasoning-token cost gap affected this print: gemini-3.1-pro-preview's reasoning tokens (RunRecord.usage.reasoning — real, captured in every run record for this print) were not priced. packages/print/src/compute/class-cost.ts computed cost from usage.output alone. Reasoning tokens are billed by the provider at the output rate — confirmed live, 2026-09-08: Google's own published pricing states "Output price (including thinking tokens)", and a separate live check (xAI's real per-call billed cost) independently confirmed the same billing convention for reasoning models generally. This is not a methodology refinement — the index measures realised cost from executed runs, and the run records already carried this field. Corrected figures, computed from this print's own real run records and price snapshot with the fix applied, not from new data: this print's dated_siu was originally reported as $0.0081; the corrected figure is $0.0089. gemini-3.1-pro-preview's own basket cost was originally reported as $0.014111; the corrected figure is $0.020371. This print itself is not recomputed or replaced — the original stands, per the revision policy's unconditional never-edit guarantee. The fix (packages/print/src/compute/class-cost.ts, cost-of-production.ts) applies forward from the next published print onward, which will show a real, one-time jump in gemini-3.1-pro-preview's cost for this methodological reason, not a market move — see docs/methodology.md's Index governance.
▲ +11.0% since 03 Sep 2026 — More expensive than the previous print.
Equal weighting, disclosed: basket costs span 33.1× across
the 8 qualifying constituents. 3 of 8 constituents
(38%) sit at or above the mean basket cost and together account for
72% of the summed basket cost Dated SIU is computed from — equal weighting still
gives each of them the same 1÷8 nominal share. Dated SIU therefore tracks the more
expensive end of the basket more closely than a demand-weighted index would. See the
methodology's Weighting section, and Frontier SIU / Commodity SIU, the tier prints published
alongside this one for exactly this reason.
Exchange-rate table
Model
USD / SIU
Spread to index
SIU per $1
deepseek-v3.2
$0.0018
-77%
545.4
llama-3.3-70b-deepinfra
$0.0007
-91%
1401.9
mistral-small-3.2-24b-instruct
—
—
—
undefined class: T1 (no run records for this class)
qwen-2.5-72b-instruct
$0.0025
-69%
394.5
claude-sonnet-5
$0.0236
+191%
42.3
gpt-5.1
$0.0092
+13%
109.0
gemini-3.1-pro-preview
$0.0141
+74%
70.8
claude-haiku-4-5
$0.0077
-5%
129.2
gpt-5.4-mini
$0.0053
-34%
187.6
Floor & market spread
Not yet published — the floor needs a measured hardware-rental rate for the reference configuration, which this print does not yet include.
Sensitivity
The print recomputed under alternative cache and batch-discount policies, so the effect of those policy choices is stated rather than hidden inside one number.
Policy variant
Dated SIU
Delta
Applies to
cache-enabled: 40% of T2 input at 10% of input price
Dated SIU is an assessment of qualifying inference work under this basket version, model/provider configuration and quality gate — not a prediction of production agent costs, which vary with workflow design, tool reliability, retry policy and context handling.
Verify this yourself
Don't take this page's word for it — every value below is checkable independently.
Body hash
0x3208688d…b724c608
Recovered signer
0x284ff2f8…d48f845a — matches the TouchstoneAttestation publisher below
Recompute this print's body hash from the published JSON (JCS-canonicalised, signature fields excluded) and confirm it matches the body hash shown above.
Open the contract link above on Blockscout, go to "Read Contract", call publisher(), and confirm it matches the recovered signer shown above.
On the same "Read Contract" tab, call postedAt(bytes32) with the body hash shown above and confirm it returns a non-zero timestamp.