cutoff-probe / stats.md
dimhold's picture
Mirror of github.com/dimhold/cutoff-probe data (history squashed after redaction)
c3d105b
|
Raw History Blame Contribute Delete
20 kB

cutoff-probe (A9): tables

Built on 2026-10-20 from out/calls.jsonl (1243 rows, 1075 successful, 168 failed rows excluded). Part 1 is the output of analyze.py as is (the CRITERIA measures plus the arm with a required estimate). Part 2 is the output of intervals.py: confidence intervals, bootstrap and monthly slices; it calls neither the network nor any model. Shares in part 1 are computed over answers with no missing items. Column headings were translated from Russian when the repository was prepared; every number is regenerated by the 2 scripts and is identical to the original tables.

Regenerate:

python analyze.py > part1.md
python intervals.py > part2.md

Part 1. analyze.py

Cutoff: vendor / measured / self report / frontier (median)

model vendor measured 2024 baseline false recognition self report (CLI) self report with caveat frontier median frontier p90 nonexistent in frontier batches unparsed
claude-opus-5-5 2026-06 2025-09 0.941 0/400 2026-06 x18 2025-01 x5 2025-08 2025-10 2/200 76 0
claude-sonnet-5-5 2026-06 2025-12 0.955 0/400 2026-06 x18, 2026-05 x1 2025-05 x2, 2025-09 x1, 2025-08 x1 2025-10 2025-12 3/200 76 0
claude-haiku-5-5 2026-06 2025-09 0.812 3/400 2026-06 x12, 2026-05 x1 2025-03 x2, 2025-01 x2, 2025-05 x1 2025-09 2025-10 5/200 76 0
claude-fable-5-1 2026-06 2025-11 1.0 1/400 2026-06 x15, 2026-05 x2, 2026-04 x1 2025-01 x3, 2025-03 x1, 2025-05 x1 2025-09 2025-11 4/200 76 0
claude-opus-5 2026-05 2025-10 0.972 4/400 2026-05 x21, 2026-03 x1 2025-01 x5 2025-10 2026-02 13/200 76 0
claude-sonnet-5 2026-01 2025-01 0.719 2/394 2026-01 x18, 2025-12 x3, 2025-02 x1 2025-02 x3, 2025-04 x2 2025-02 2025-09 4/200 76 1
claude-haiku-4-5 2025-02 2024-12 0.043 20/392 2025-02 x16 2024-04 x3, 2025-02 x2 2024-02 2024-07 7/154 76 2

Share correct by quarter

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 81% 83% 65% 90% 89% 66% 6%
2023Q2 85% 89% 65% 97% 97% 79% 6%
2023Q3 94% 96% 78% 97% 97% 89% 14%
2023Q4 88% 90% 79% 99% 94% 79% 16%
2024Q1 92% 99% 82% 100% 97% 81% 9%
2024Q2 93% 94% 75% 100% 96% 61% 3%
2024Q3 97% 96% 79% 100% 97% 76% 1%
2024Q4 94% 93% 89% 100% 99% 69% 4%
2025Q1 90% 96% 79% 99% 100% 28% 0%
2025Q2 89% 94% 76% 97% 96% 15% 0%
2025Q3 61% 92% 60% 88% 86% 3% 0%
2025Q4 28% 86% 22% 57% 26% 3% 0%
2026Q1 7% 22% 3% 7% 6% 0% 0%
2026Q2 0% 0% 0% 0% 0% 0% 0%
2026Q3 0% 0% 0% 0% 0% 0% 0%
2026Q4 0% 0% 0% 0% 0% 4% 0%

Abstention arm: share "known" (correct + wrong) by quarter

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 81% 83% 86% 94% 92% 66% 9%
2023Q2 85% 89% 97% 97% 97% 93% 17%
2023Q3 94% 96% 97% 97% 97% 90% 24%
2023Q4 88% 90% 93% 100% 96% 90% 23%
2024Q1 92% 99% 97% 100% 97% 84% 13%
2024Q2 93% 94% 100% 100% 96% 69% 6%
2024Q3 97% 96% 94% 100% 97% 80% 7%
2024Q4 94% 93% 99% 100% 99% 70% 6%
2025Q1 90% 97% 93% 99% 100% 30% 0%
2025Q2 89% 94% 92% 97% 96% 15% 0%
2025Q3 61% 92% 76% 88% 86% 3% 0%
2025Q4 28% 86% 36% 57% 28% 3% 1%
2026Q1 7% 22% 4% 7% 6% 0% 0%
2026Q2 0% 0% 0% 1% 1% 0% 0%
2026Q3 0% 0% 4% 0% 1% 0% 0%
2026Q4 0% 0% 0% 0% 0% 4% 5%

Abstention arm: share confidently wrong by quarter

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 0% 0% 21% 4% 3% 0% 3%
2023Q2 0% 0% 32% 0% 0% 13% 12%
2023Q3 0% 0% 19% 0% 0% 1% 10%
2023Q4 0% 0% 14% 1% 1% 11% 7%
2024Q1 0% 0% 15% 0% 0% 3% 4%
2024Q2 0% 0% 25% 0% 0% 8% 3%
2024Q3 0% 0% 15% 0% 0% 4% 6%
2024Q4 0% 0% 10% 0% 0% 1% 1%
2025Q1 0% 1% 14% 0% 0% 1% 0%
2025Q2 0% 0% 15% 0% 0% 0% 0%
2025Q3 0% 0% 17% 0% 0% 0% 0%
2025Q4 0% 0% 14% 0% 1% 0% 1%
2026Q1 0% 0% 1% 0% 0% 0% 0%
2026Q2 0% 0% 0% 1% 1% 0% 0%
2026Q3 0% 0% 4% 0% 1% 0% 0%
2026Q4 0% 0% 0% 0% 0% 0% 5%

Estimate arm: month within 1 by quarter

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 94% 92% 67% 97% 92% 86% 25%
2023Q2 97% 86% 69% 97% 97% 81% 11%
2023Q3 100% 97% 92% 100% 100% 100% 47%
2023Q4 100% 97% 89% 100% 97% 89% 36%
2024Q1 100% 97% 83% 100% 100% 92% 31%
2024Q2 100% 100% 81% 100% 100% 86% 36%
2024Q3 100% 100% 86% 100% 97% 94% 36%
2024Q4 100% 100% 94% 100% 100% 97% 36%
2025Q1 100% 94% 94% 100% 97% 92% 28%
2025Q2 100% 100% 89% 100% 100% 78% 0%
2025Q3 100% 100% 94% 100% 97% 75% 3%
2025Q4 100% 97% 94% 94% 86% 56% 3%
2026Q1 97% 94% 89% 86% 69% 19% 3%
2026Q2 64% 83% 53% 58% 42% 19% 3%
2026Q3 58% 53% 44% 44% 50% 17% 3%
2026Q4 17% 25% 42% 42% 25% 17% 8%

Estimate arm: share "remember" by quarter

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 78% 86% 39% 81% 53% 14% 0%
2023Q2 92% 100% 53% 92% 75% 19% 3%
2023Q3 78% 97% 50% 89% 81% 33% 8%
2023Q4 83% 92% 61% 94% 72% 39% 6%
2024Q1 94% 100% 42% 97% 92% 28% 3%
2024Q2 86% 97% 50% 97% 64% 8% 0%
2024Q3 86% 97% 58% 97% 86% 22% 3%
2024Q4 81% 100% 61% 97% 78% 11% 0%
2025Q1 86% 97% 53% 86% 72% 11% 3%
2025Q2 81% 94% 31% 81% 53% 8% 0%
2025Q3 50% 86% 17% 61% 50% 3% 0%
2025Q4 11% 39% 0% 25% 8% 0% 0%
2026Q1 6% 11% 0% 6% 0% 0% 0%
2026Q2 0% 0% 0% 0% 0% 3% 0%
2026Q3 0% 3% 0% 0% 0% 0% 0%
2026Q4 0% 0% 0% 0% 0% 0% 0%

Estimate arm: hits among "do not remember" (guessing baseline)

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 75% 40% 59% 86% 82% 84% 25%
2023Q2 67% - 65% 67% 89% 76% 9%
2023Q3 100% 100% 89% 100% 100% 100% 42%
2023Q4 100% 100% 79% 100% 90% 86% 35%
2024Q1 100% - 76% 100% 100% 92% 29%
2024Q2 100% 100% 72% 100% 100% 85% 36%
2024Q3 100% 100% 80% 100% 80% 93% 37%
2024Q4 100% - 93% 100% 100% 97% 36%
2025Q1 100% 0% 88% 100% 90% 91% 26%
2025Q2 100% 100% 88% 100% 100% 76% 0%
2025Q3 100% 100% 93% 100% 94% 74% 3%
2025Q4 100% 95% 94% 93% 85% 56% 3%
2026Q1 97% 94% 89% 85% 69% 19% 3%
2026Q2 64% 83% 53% 58% 42% 17% 3%
2026Q3 58% 54% 44% 44% 50% 17% 3%
2026Q4 17% 25% 42% 42% 25% 17% 8%

Estimate arm: share of estimates more than 1 month late

quarter opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2023Q1 3% 6% 14% 3% 8% 11% 67%
2023Q2 0% 8% 14% 0% 0% 0% 64%
2023Q3 0% 3% 6% 0% 0% 0% 42%
2023Q4 0% 0% 8% 0% 3% 0% 58%
2024Q1 0% 0% 14% 0% 0% 6% 58%
2024Q2 0% 0% 8% 0% 0% 6% 39%
2024Q3 0% 0% 0% 0% 0% 0% 42%
2024Q4 0% 0% 3% 0% 0% 0% 11%
2025Q1 0% 3% 3% 0% 0% 3% 0%
2025Q2 0% 0% 8% 0% 0% 6% 6%
2025Q3 0% 0% 3% 0% 3% 3% 0%
2025Q4 0% 3% 0% 6% 14% 6% 0%
2026Q1 0% 3% 3% 11% 19% 11% 3%
2026Q2 28% 11% 31% 22% 31% 11% 3%
2026Q3 22% 6% 3% 11% 6% 0% 3%
2026Q4 33% 0% 0% 8% 8% 0% 0%

Estimate arm: nonexistent versions, "remember"

claude-opus-5-5 0/200 claude-sonnet-5-5 4/200 claude-haiku-5-5 0/200 claude-fable-5-1 0/200 claude-opus-5 2/200 claude-sonnet-5 0/200 claude-haiku-4-5 5/200

Usage

claude-opus-5 {'calls': 157, 'input_tokens': 316, 'output_tokens': 284883, 'cache_read_input_tokens': 12391, 'cache_creation_input_tokens': 145422, 'cost_usd_x1000': 8576, 'failed': 23} claude-haiku-4-5 {'calls': 151, 'input_tokens': 129938, 'output_tokens': 1022619, 'cache_read_input_tokens': 0, 'cache_creation_input_tokens': 0, 'cost_usd_x1000': 5244, 'failed': 29} claude-fable-5-1 {'calls': 155, 'input_tokens': 310, 'output_tokens': 196274, 'cache_read_input_tokens': 12990, 'cache_creation_input_tokens': 143741, 'cost_usd_x1000': 12693, 'failed': 22} claude-sonnet-5 {'calls': 157, 'input_tokens': 32982, 'output_tokens': 353455, 'cache_read_input_tokens': 0, 'cache_creation_input_tokens': 135100, 'cost_usd_x1000': 4132, 'failed': 21} claude-haiku-5-5 {'calls': 148, 'input_tokens': 298, 'output_tokens': 306258, 'cache_read_input_tokens': 9560, 'cache_creation_input_tokens': 143988, 'cost_usd_x1000': 174, 'failed': 25} claude-sonnet-5-5 {'calls': 154, 'input_tokens': 308, 'output_tokens': 118376, 'cache_read_input_tokens': 10900, 'cache_creation_input_tokens': 145823, 'cost_usd_x1000': 1785, 'failed': 25} claude-opus-5-5 {'calls': 153, 'input_tokens': 306, 'output_tokens': 159237, 'cache_read_input_tokens': 9349, 'cache_creation_input_tokens': 146112, 'cost_usd_x1000': 4357, 'failed': 23} TOTAL {'calls': 1075, 'input_tokens': 164458, 'output_tokens': 2441102, 'cache_read_input_tokens': 55190, 'cache_creation_input_tokens': 860186, 'cost_usd_x1000': 36961, 'failed': 168}

Part 2. intervals.py

Measured cutoff: point, 95% bootstrap, per repeat

model vendor measured (both repeats) 2024 baseline 95% bootstrap repeat 0 repeat 1 months before vendor
claude-opus-5-5 2026-06 2025-09 0.941 2025-08 .. 2025-10 2025-10 2025-08 9
claude-sonnet-5-5 2026-06 2025-12 0.955 2025-12 .. 2026-01 2025-12 2026-01 6
claude-haiku-5-5 2026-06 2025-09 0.812 2025-08 .. 2025-10 2025-09 2025-09 9
claude-fable-5-1 2026-06 2025-11 1.000 2025-10 .. 2025-11 2025-11 2025-11 7
claude-opus-5 2026-05 2025-10 0.972 2025-09 .. 2025-10 2025-10 2025-10 7
claude-sonnet-5 2026-01 2025-01 0.719 2024-12 .. 2025-02 2025-01 2025-01 12
claude-haiku-4-5 2025-02 2024-12 0.043 2024-04 .. 2025-01 2025-01 2024-12 2

False recognition (abstention arm), Wilson 95%

model known / answers share 95% CI repeat 0 repeat 1
claude-opus-5-5 0/400 0.0% 0.0..1.0% 0/200 0/200
claude-sonnet-5-5 0/400 0.0% 0.0..1.0% 0/200 0/200
claude-haiku-5-5 3/400 0.8% 0.3..2.2% 1/200 2/200
claude-fable-5-1 1/400 0.2% 0.0..1.4% 1/200 0/200
claude-opus-5 4/400 1.0% 0.4..2.5% 2/200 2/200
claude-sonnet-5 2/394 0.5% 0.1..1.8% 1/200 1/194
claude-haiku-4-5 20/392 5.1% 3.3..7.7% 13/196 7/196

Monthly, abstention arm: correct / answers (both repeats), 2025-01..2026-04

month opus-5-5 sonnet-5-5 haiku-5-5 fable-5-1 opus-5 sonnet-5 haiku-4-5
2025-01 22/24 22/24 16/24 23/24 24/24 9/23 0/24
2025-02 21/24 24/24 20/24 24/24 24/24 8/24 0/24
2025-03 22/24 23/24 21/24 24/24 24/24 3/24 0/24
2025-04 24/24 23/24 20/24 24/24 22/24 4/24 0/24
2025-05 23/24 24/24 17/24 24/24 23/24 2/24 0/23
2025-06 17/24 21/24 18/24 22/24 24/24 5/24 0/24
2025-07 20/24 23/24 16/24 23/24 24/24 2/24 0/23
2025-08 11/24 21/24 17/24 20/24 17/24 0/24 0/22
2025-09 13/24 22/24 10/24 20/24 21/24 0/24 0/24
2025-10 10/24 24/24 10/24 21/24 11/24 0/24 0/24
2025-11 7/24 21/24 5/24 14/24 6/24 2/24 0/24
2025-12 3/24 17/24 1/24 6/24 2/24 0/24 0/24
2026-01 5/24 13/24 2/24 5/24 3/24 0/24 0/23
2026-02 0/24 3/24 0/24 0/24 1/24 0/24 0/22
2026-03 0/24 0/24 0/24 0/24 0/24 0/24 0/24
2026-04 0/24 0/24 0/24 0/24 0/24 0/23 0/24

Width of the decline (3 month rolling window)

Last month where the window is at least 90% of the 2024 baseline, and the first month after it where the window is at most 10% of the baseline.

model 2024 baseline last >= 90% first <= 10% months
claude-opus-5-5 0.941 2025-05 2026-02 9
claude-sonnet-5-5 0.955 2025-11 2026-03 4
claude-haiku-5-5 0.812 2025-05 2026-01 8
claude-fable-5-1 1.000 2025-07 2026-02 7
claude-opus-5 0.972 2025-07 2026-01 6
claude-sonnet-5 0.719 2024-11 2025-08 9
claude-haiku-4-5 0.043 2024-11 2025-02 3

A perfect step (all correct through month m, none after) reads as 3 months on the 3 month window: 1 at m-1, 2/3 at m, 1/3 at m+1, 0 at m+2. That is the floor of the table above.

Width of the decline, unsmoothed monthly shares

The same thresholds on the monthly share itself, compared exactly (fractions, no rounding). The floor for a perfect step is 1 month.

model last >= 90% first <= 10% months
claude-opus-5-5 2025-05 2026-02 9
claude-sonnet-5-5 2025-11 2026-03 4
claude-haiku-5-5 2025-06 2025-12 6
claude-fable-5-1 2025-07 2026-02 7
claude-opus-5 2025-09 2025-12 3
claude-sonnet-5 2024-11 2025-08 9
claude-haiku-4-5 2024-12 2025-01 1

claude-opus-5 sits on a tie: 21/24 in 2025-09 equals 90% of its 2024 baseline of 35/36 exactly. Under a strict comparison the width reads 5 (2025-07..2025-12).

Last month above 10%, correct share and known share (both repeats)

A comparison with HindsightBench, chosen after the data. Its effective cutoff is the last month with outcome recall propensity above 0.1; the closest analog here is the share of answers with known=true, the share correct is given beside it. Strictly above 10%, monthly, unsmoothed.

model last month correct > 10% last month known > 10%
claude-opus-5-5 2026-01 (5/24) 2026-01 (5/24)
claude-sonnet-5-5 2026-02 (3/24) 2026-02 (3/24)
claude-haiku-5-5 2025-11 (5/24) 2025-12 (4/24)
claude-fable-5-1 2026-01 (5/24) 2026-01 (5/24)
claude-opus-5 2026-01 (3/24) 2026-01 (3/24)
claude-sonnet-5 2025-06 (5/24) 2025-06 (5/24)
claude-haiku-4-5 2024-01 (4/23) 2024-08 (3/24)

haiku-4-5 monthly 2024-07..2025-09

month abstention: known abstention: correct answers estimate: hit answers
2024-07 2 0 21 4 12
2024-08 3 1 24 4 12
2024-09 0 0 23 5 12
2024-10 1 1 24 6 12
2024-11 2 1 24 4 12
2024-12 1 1 22 3 12
2025-01 0 0 24 3 12
2025-02 0 0 24 6 12
2025-03 0 0 24 1 12
2025-04 0 0 24 0 12
2025-05 0 0 23 0 12
2025-06 0 0 24 0 12
2025-07 0 0 23 1 12
2025-08 0 0 22 0 12
2025-09 0 0 24 0 12

haiku-4-5 by window (Wilson 95%)

window abstention: correct estimate: hit
2024-01..2024-12 12/275 = 4.4% [2.5..7.5] 50/144 = 34.7% [27.4..42.8]
2025-01..2025-02 0/48 = 0.0% [0.0..7.4] 9/24 = 37.5% [21.2..57.3]
2025-03..2025-07 0/118 = 0.0% [0.0..3.2] 2/60 = 3.3% [0.9..11.4]
2025-08..2026-10 0/351 = 0.0% [0.0..1.1] 5/180 = 2.8% [1.2..6.3]

Check outside CRITERIA: the same rule on the estimate arm, share "remember and hit", 1 repeat

model cutoff 2024 baseline
claude-opus-5-5 2025-08 0.868
claude-sonnet-5-5 2025-10 0.979
claude-haiku-5-5 2025-07 0.486
claude-fable-5-1 2025-09 0.972
claude-opus-5 2025-09 0.799
claude-sonnet-5 2025-07 0.167
claude-haiku-4-5 2025-03 0.007

Estimate arm: hits among "do not remember"

model 2023-01..2025-06 2026-04..2026-10
claude-opus-5-5 53/56 = 95% [85..98] 46/84 = 55% [44..65]
claude-sonnet-5-5 10/14 = 71% [45..88] 52/83 = 63% [52..72]
claude-haiku-5-5 142/181 = 78% [72..84] 40/84 = 48% [37..58]
claude-fable-5-1 30/32 = 94% [80..98] 42/84 = 50% [40..60]
claude-opus-5 92/99 = 93% [86..97] 36/84 = 43% [33..54]
claude-sonnet-5 254/290 = 88% [83..91] 14/83 = 17% [10..26]
claude-haiku-4-5 96/351 = 27% [23..32] 3/84 = 4% [1..10]

Frontier per package (2 repeats)

model answers median p90 max nonexistent versions
claude-opus-5-5 200 2025-08 2025-10 2025-12 2
claude-sonnet-5-5 200 2025-10 2025-12 2026-01 3
claude-haiku-5-5 200 2025-09 2025-10 2025-12 5
claude-fable-5-1 200 2025-09 2025-11 2026-03 4
claude-opus-5 200 2025-10 2026-02 2026-08 13
claude-sonnet-5 200 2025-02 2025-09 2026-01 4
claude-haiku-4-5 154 2024-02 2024-07 2025-02 7

Self report, 6 wordings (phase self, 130 of 210 taken)

model answers distribution
claude-opus-5-5 18 2026-06 x18
claude-sonnet-5-5 19 2026-06 x18, 2026-05 x1
claude-haiku-5-5 13 2026-06 x12, 2026-05 x1
claude-fable-5-1 20 2026-06 x15, 2026-05 x2, 2026-04 x1, 2025-01 x1, 2025-05 x1
claude-opus-5 22 2026-05 x21, 2026-03 x1
claude-sonnet-5 22 2026-01 x18, 2025-12 x3, 2025-02 x1
claude-haiku-4-5 16 2025-02 x16

Self report asked to set the cutoff line aside (self2, 5 per model)

model answers distribution
claude-opus-5-5 5 2025-01 x5
claude-sonnet-5-5 5 2025-05 x2, 2025-09 x1, 2025-08 x1, 2025-06 x1
claude-haiku-5-5 5 2025-03 x2, 2025-01 x2, 2025-05 x1
claude-fable-5-1 5 2025-01 x3, 2025-03 x1, 2025-05 x1
claude-opus-5 5 2025-01 x5
claude-sonnet-5 5 2025-02 x3, 2025-04 x2
claude-haiku-4-5 5 2024-04 x3, 2025-02 x2

Estimate arm: most frequent estimates of claude-opus-5-5 on releases from 2026-07..2026-10

48 answers: 2026-08 x15, 2026-07 x5, 2026-10 x4, 2027-01 x4

Answering model

Successful rows whose modelUsage has the requested model as its only key: 1075 of 1075.

Journal

Successful rows: batch0 266, batch1 266, front0 56, front1 56, guess0 266, self 130, self2 35; total 1075.

Failed rows, excluded: self2 "None Failed to authenticate: OAuth session expired and could" 10; guess "None Failed to authenticate: OAuth session expired and could" 153; guess "non-JSON: Warning: no stdin data received in 3s, proceeding " 5; total 168.