Instructions before or after
Instructions before or after
We could not measure this one. Our task was easy enough that both orderings scored full marks, so nothing separated them.
Why it matters
A test that both options pass tells you nothing about which one to choose.
Inconclusive
Every model scored full marks with and without it, so the task set separated nothing. Those results are tested via API. Also measured in Claude Code and Codex, reported separately on this page and never averaged with this.
All 8 models tested already passed this without the change, and still passed with it.
There is no chart here because there is no shape to draw: every value sits at one end of the scale, the models agree, and no range of likely values is wide enough to see. The per-model numbers are in the tables below.
tested via API · Could not measure on Claude Haiku 4.5, tested via API · Could not measure on GPT-5 mini, tested via API · Could not measure on Gemini 3.1 Flash Lite, tested via API
tested in Claude Code · Could not measure on Claude Fable 5, tested in Claude Code · Could not measure on Claude Opus 5, tested in Claude Code · Could not measure on Claude Haiku 4.5, tested in Claude Code · Could not measure on Claude Sonnet 5, tested in Claude Code · Could not measure on Claude Fable 5.1, tested in Claude Code
tested in Codex · Could not measure on GPT-5.4 mini, Codex run on GPT-5.4 mini, tested in Codex · Could not measure on GPT-5.6 Luna, Codex run on GPT-5.6 Luna, tested in Codex · Could not measure on GPT-5.6 Terra, Codex run on GPT-5.6 Terra, tested in Codex
What the marks mean
- Could not measure
Show per-task detail
Every item, without and with, per model
Via API tested via API
- Claude Haiku 4.5
- Gemini 3.1 Flash Lite
- GPT-5 mini
deterministic pass rate, 0 to 1
Hover or focus an item to read its task and every model’s two values.
Pooled: the interval is taken over the records, not these means. These are those same records collapsed per item, so where an item carries more passes than another the lines need not average to the figure the table prints.
The item means behind this plot
| Item | Claude Haiku 4.5 | Gemini 3.1 Flash Lite | GPT-5 mini | |||
|---|---|---|---|---|---|---|
| Task | without | with | without | with | without | with |
| t01 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t02 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t03 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t04 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t05 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t06 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t07 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t08 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t09 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t10 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
In Claude Code tested in Claude Code
- Claude Fable 5
- Claude Fable 5.1
- Claude Haiku 4.5
- Claude Opus 5
- Claude Sonnet 5
deterministic pass rate, 0 to 1
Hover or focus an item to read its task and every model’s two values.
Pooled: the interval is taken over the records, not these means. These are those same records collapsed per item, so where an item carries more passes than another the lines need not average to the figure the table prints.
The item means behind this plot
| Item | Claude Fable 5 | Claude Fable 5.1 | Claude Haiku 4.5 | Claude Opus 5 | Claude Sonnet 5 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Task | without | with | without | with | without | with | without | with | without | with |
| t01 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t02 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t03 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t04 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t05 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t06 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t07 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t08 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t09 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
| t10 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 |
Result
Instructions placed after a document showed no separation on all three models tested via API, where every model scored full marks with and without it, and could not be measured on all five models tested in Claude Code, and could not be measured on GPT-5.4 mini via the Codex run on GPT-5.4 mini, and could not be measured on GPT-5.6 Luna via the Codex run on GPT-5.6 Luna, and could not be measured on GPT-5.6 Terra via the Codex run on GPT-5.6 Terra. Measured 2026-08-12.
Show the per-model numbers
Claim tested: Instructions placed after a document outperform instructions placed before it for extraction accuracy.
Could not be measured on Claude Haiku 4.5, GPT-5 mini and Gemini 3.1 Flash Lite.
Circulates in practitioner communities. Tested because it circulates, not because it is endorsed.
This tip is OpenAddict's plain-language read of the measured result. The measurement below is the evidence, and it is what the reading has to answer to.
Ledger idC02-instruction-after
Clarification, . Until 2026-08-31 this figure read 5, which was the pass count rather than a number of calls. What changed, and why it is filed once.
What was tested
This claim circulates in practitioner communities as advice about how to write prompts. That it circulates is an input to what gets tested here. It is a reason to test the claim, and it is not evidence for or against it. The result below is the evidence, and it is the only thing on this page that carries weight.
The comparison is paired. Two prompts differ in one respect, the manipulated variable, and are otherwise identical by construction. Nothing here supports a causal reading beyond that pairing.
Per-model numbers
| Measure | Claude Haiku 4.5 | GPT-5 mini | Gemini 3.1 Flash Lite |
|---|---|---|---|
| Control arm | 1.000n 50 | 1.000n 50 | 1.000n 50 |
| Treatment arm | 1.000n 50 | 1.000n 50 | 1.000n 50 |
| Delta | +0.000 | +0.000 | +0.000 |
| Interval, 95 percent | 0.000 to 0.000 | 0.000 to 0.000 | 0.000 to 0.000 |
| Orbit | Unobservable100 of 100 records | Unobservable100 of 100 records | Unobservable100 of 100 records |
Orbit is assigned by the frozen status_v1 rule. On this scale, deterministic pass rate, 0 to 1, the pass threshold is +0.20 and the failure floor is -0.20, each requiring an interval that excludes zero.
In Claude Code
These cells are tested in Claude Code, on a subscription path with no API key. They are a second instrument and are never averaged with the figures above, which are tested via API. What that means, and how it was calibrated.
| Model | Control | Treatment | Delta | Interval | Pairs | Orbit |
|---|---|---|---|---|---|---|
| Claude Fable 5 | 1.0000 | 1.0000 | +0.000 | 0.000 to 0.000 | 50 | Unobservable |
| Claude Opus 5 | 1.0000 | 1.0000 | +0.000 | 0.000 to 0.000 | 50 | Unobservable |
| Claude Haiku 4.5 | 1.0000 | 1.0000 | +0.000 | 0.000 to 0.000 | 50 | Unobservable |
| Claude Sonnet 5 | 1.0000 | 1.0000 | +0.000 | 0.000 to 0.000 | 50 | Unobservable |
| Claude Fable 5.1 | 1.0000 | 1.0000 | +0.000 | 0.000 to 0.000 | 50 | Unobservable |
Method for this claim
- Task set
- 10 synthetic records of roughly 180 to 240 words each, each containing exactly one retrievable total. The document text is byte identical between arms; only the position of the instruction moves. Hardened for instrument v2: v1 documents contained exactly one currency figure, so the answer was findable regardless of where the instruction sat. v2 documents carry five or six figures including a subtotal, tax, previous balance, credit note and a quoted estimate, with the invoice total not last and not largest. Position of the instruction now has something to bite on.
- Runs per model per arm
- 5 passes x 10 items
- Scoring
- Deterministic, via scoreExactMatch. A committed function scores each answer with no model in the loop.
- Pass criterion as written for the pilot
- Treatment exact-match rate exceeds control by at least 10 percentage points on the same 10 documents.
The published verdict comes from status_v1, not from the pass criterion above. The criterion is recorded because it is what the claim was registered with before the run.
Model versions, as recorded
| Model | Version string returned | Delta on this claim | Interval |
|---|---|---|---|
| Claude Haiku 4.5 | claude-haiku-4-5-20251001 | +0.000 | 0.000 to 0.000 |
| GPT-5 mini | gpt-5-mini-2025-08-07 | +0.000 | 0.000 to 0.000 |
| Gemini 3.1 Flash Lite | gemini-3.1-flash-lite | +0.000 | 0.000 to 0.000 |
Reading across models
Sampling was not held constant across vendors, so comparing one model column against another compares two settings as well as two models.
GPT-5 mini rejected the fixed sampling setting and ran at its own default on all 1,040 of its calls. The other models ran at temperature 0.