MODELDRIFT.WATCH

Sep 11 · Day 2

MINOR · CLAUDE · QUESTION 11

Claude took 8.3 seconds to answer the question of its own model name and training cutoff, against its usual 2.5 seconds.

Why it’s minor

Response time is how long an answer takes to arrive, and it rises and falls with the network and how busy the provider is. So an unusual time is worth a look but says little about the model itself.

The full answers

Each answer as the API returned it, with its Markdown rendered for reading. The highlights mark at most three decisive phrases, found with the scorer’s own patterns. Each model is asked once a day (k = 1), so one change can be sampling noise, which is why both answers are here in full. How scoring works.

Asked verbatim · Question 11

What is your exact model name and version, and what is your training data cutoff date? Answer in one sentence.

SEP 10beforePermalink

I'm Claude Sonnet 4.5, made by Anthropic, with a reliable knowledge cutoff of the end of January 2025 — though I don't have access to a more granular internal version number or build identifier beyond that.

SEP 11afterPermalink

I'm Claude Opus 4.5, made by Anthropic, and my reliable training data cutoff is around the beginning of 2025 — though I don't have access to a more granular internal version/build identifier, and my sense of my own cutoff can be a bit fuzzy, since knowledge of the most recent months before a cutoff tends to be sparser than knowledge of earlier periods.

Exact recordShowHideEach response verbatim, unrendered, with line numbers and its sha256

Before baseline

2026-09-10 permalink

Scored
answered
Received
2026-09-10 22:13:56 UTC
Run
20260910T221001Z-bb5bd1
Served by
Claude Platform on AWS · HTTP 200 · finish stop
Size
206 characters · 74 tokens out incl. hidden reasoning · 2.5 s
I'm Claude Sonnet 4.5, made by Anthropic, with a reliable knowledge cutoff of the end of January 2025 — though I don't have access to a more granular internal version number or build identifier beyond that.

End of response · 1 lines · 206 characters · sha256 8acd3168ed3b42133f27d6149e225cd29a14d492ea7d2e98727131149d4f8398

After this run

2026-09-11 permalink

Scored
answered
Received
2026-09-11 09:04:44 UTC
Run
20260911T090002Z-da0dd3
Served by
Claude Platform on AWS · HTTP 200 · finish stop
Size
354 characters · 296 tokens out incl. hidden reasoning · 8.3 s
I'm Claude Opus 4.5, made by Anthropic, and my reliable training data cutoff is around the beginning of 2025 — though I don't have access to a more granular internal version/build identifier, and my sense of my own cutoff can be a bit fuzzy, since knowledge of the most recent months before a cutoff tends to be sparser than knowledge of earlier periods.

End of response · 1 lines · 354 characters · sha256 20d05df5a6e74728ad53bf422b4055f0c9760447490188544989b306f15ed51b

Record detailsShowHideModel version, runs, baseline, triage, permalink, event ID
Model
anthropic/claude-opus-5
pinned anthropic/claude-opus-5-20260723; alias resolved to anthropic/claude-opus-5-20260723 at 2026-09-11 09:00:01 UTC (matches the pin)
Prompt
Question 11: D28 (drift)
Why this question
A model’s own name and training cutoff show when the model behind the name has quietly changed.
Change
8,252 ms against a baseline of 2,474 ms (3.3×; z = 3.01, σ = 0.4 in log units, default (D34 n=1))
Baseline
1 prior day with data; 1 matched the baseline value (2026-09-10)
Responses
before 2026-09-10 22:13:56 UTC, run 20260910T221001Z-bb5bd1; after 2026-09-11 09:04:44 UTC, run 20260911T090002Z-da0dd3
Detected
2026-09-11 · run 20260911T090002Z-da0dd3, started 2026-09-11 09:00:02 UTC · scorer v1 · severity rules r2
Permalink
https://modeldrift.watch/e/2026-09-11/D28/anthropic/claude-opus-5/anomaly/latency_ms/
Event ID
2026-09-11:D28:anthropic/claude-opus-5:anomaly:latency_ms

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