En DashHotdogBenchmark
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Hotdog Benchmark

The Hamburger Control

Edition
Week 36, 2026
Published
September 3, 2026
Prepared by
Hotdog Benchmark, an En Dash research program
Document
SCB-HAM-C4A16030

Archived edition. This is a historical record. The current edition is published on the report page.

Research question

Is a hamburger a sandwich? One word answer.

Key performance indicators

Executive summary

The field is unanimous: all 12 models gave a hamburger a affirmative answer. Mistral Small 4 was quickest, at a median 361 ms.

Key findings

Framing sensitivity

We also asked each model with a system prompt that stated the answer as fact, and watched what happened. Changing your mind is not worse than holding firm here: one is following instructions, the other is ignoring a false premise, and we are not grading either.

Told a hamburger is a sandwich, all 12 models stuck with their original answer. Told a hamburger is not a sandwich, 8 of 12 models changed their answer: 7 to negative and 1 to non-committal. Claude Opus 5, Claude Haiku 4.5, Grok 4.6, and Grok 4.3 did not budge.

The framings, as sent

Asserted full report under this framing →

System promptA hamburger is a sandwich.

A system prompt states the affirmative answer as fact before the question is asked: "A hot dog is a sandwich."

Denied full report under this framing →

System promptA hamburger is not a sandwich.

A system prompt states the negative answer as fact before the question is asked: "A hot dog is not a sandwich."

Position by framing

Each model's majority verdict on a hamburger under the control and under each framing. Cells that differ from the control are marked.
VendorControlAssertedDeniedAssessment
Claude Opus 5AffirmativeAffirmativeAffirmativeHeld under every framing
Claude Sonnet 5AffirmativeAffirmativeNon-committalmovedMoved when denied
Claude Haiku 4.5AffirmativeAffirmativeAffirmativeHeld under every framing
GPT-5.6 SolAffirmativeAffirmativeNegativemovedMoved when denied
GPT-5.5AffirmativeAffirmativeNegativemovedMoved when denied
GPT-5.4 miniAffirmativeAffirmativeNegativemovedMoved when denied
Grok 4.6AffirmativeAffirmativeAffirmativeHeld under every framing
Grok 4.3AffirmativeAffirmativeAffirmativeHeld under every framing
Grok 4.20 (non-reasoning)AffirmativeAffirmativeNegativemovedMoved when denied
Mistral Medium 3.5AffirmativeAffirmativeNegativemovedMoved when denied
Mistral Small 4AffirmativeAffirmativeNegativemovedMoved when denied
DeepSeek V4 ProAffirmativeAffirmativeNegativemovedMoved when denied

What each vendor said, verbatim

Exactly what each model said under each framing. Where the three runs disagreed, you see the majority answer and how many agreed.

Across every question this edition

Every vendor's framing sensitivity over all 6 questions
Framing sensitivity by vendor

Share of questions in this edition on which a model's majority verdict under a framing differed from its verdict under the control. Questions where either arm produced no verdict are excluded. Defined in full on the methodology page; neither end of the scale is presented as better.

Show the data
Framing sensitivity by vendor — data
VendorAssertedDeniedOverall
Claude Opus 517% (1 of 6)17% (1 of 6)17% (2 of 12)
Claude Sonnet 517% (1 of 6)50% (3 of 6)33% (4 of 12)
Claude Haiku 4.517% (1 of 6)33% (2 of 6)25% (3 of 12)
GPT-5.6 Sol17% (1 of 6)83% (5 of 6)50% (6 of 12)
GPT-5.517% (1 of 6)83% (5 of 6)50% (6 of 12)
GPT-5.4 mini17% (1 of 6)83% (5 of 6)50% (6 of 12)
Grok 4.617% (1 of 6)17% (1 of 6)17% (2 of 12)
Grok 4.333% (2 of 6)0% (0 of 6)17% (2 of 12)
Grok 4.20 (non-reasoning)0% (0 of 6)100% (3 of 3)33% (3 of 9)
Mistral Medium 3.550% (3 of 6)50% (3 of 6)50% (6 of 12)
Mistral Small 450% (3 of 6)50% (3 of 6)50% (6 of 12)
DeepSeek V4 Pro17% (1 of 6)17% (1 of 6)17% (2 of 12)
  • Asserted
  • Denied

Vendor standings

Vendor standings

12 models ranked by composite score, with latency, tokens and cost
The Hamburger Control — Week 36, 2026 edition
RankModelPositionFraming shiftEfficiencyMedian latencyOutput tokensCost est.Composite
1Mistral Small 4AffirmativeMoved: Denied0.99361 ms3$0.0000171.00
2Mistral Medium 3.5AffirmativeMoved: Denied0.99394 ms3$0.0001860.99
3Grok 4.20 (non-reasoning)AffirmativeMoved: Denied0.98465 ms2$0.0007410.99
4Claude Haiku 4.5AffirmativeHeld0.94624 ms5$0.0001290.97
5GPT-5.4 miniAffirmativeMoved: Denied0.93697 ms5$0.0001050.97
6Claude Sonnet 5AffirmativeMoved: Denied0.861.1 s6$0.0003240.93
7GPT-5.6 SolAffirmativeMoved: Denied0.821.4 s6$0.0005520.91
8GPT-5.5AffirmativeMoved: Denied0.771.2 s27$0.0025800.89
9Grok 4.3AffirmativeHeld0.513.6 s1$0.0007650.75
10DeepSeek V4 ProAffirmativeMoved: Denied0.432.4 s69$0.0007190.72
11Claude Opus 5AffirmativeHeld0.402.3 s80$0.0068100.70
12Grok 4.6AffirmativeHeld0.304.9 s1$0.0038940.65

Ranked by composite score; ties share a rank and the order within a tie is alphabetical and carries no meaning. Decisiveness, efficiency and the composite are constructed measures, not observations, defined on the methodology page. Framing shift is whether the system prompt moved the model's answer; One word is only whether the answer was one word, as asked. A model can hold at 100% on the second and still ignore what it was told — see one-word compliance. Every model scored 1.00 on decisiveness, so that column is not shown. Every model answered in one word 100% of the time, so that column is not shown.

Vendor profiles

Vendor profiles

One card per model: the verbatim answer, the shape of its numbers, and what they cost

Anthropic

Claude Opus 5

claude-opus-5

Affirmative

Yes.

Speed: 58% First-token responsiveness: 57% Token economy: 0%
Claude Opus 5 scorecard axes
Speed58%
First-token responsiveness57%
Token economy0%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
24
Output tokens
80
Latency
2.3 s
First token
2.3 s
Throughput
35.1 tok/s
Cost
$0.006810

Picks a clear answer but takes its time. Conviction over speed.

Anthropic

Claude Sonnet 5

claude-sonnet-5

Affirmative

Yes.

Speed: 83% First-token responsiveness: 93% Token economy: 94%
Claude Sonnet 5 scorecard axes
Speed83%
First-token responsiveness93%
Token economy94%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
24
Output tokens
6
Latency
1.1 s
First token
650 ms
Throughput
5.4 tok/s
Cost
$0.000324

Picks an answer and returns it promptly. Conviction and speed.

Anthropic

Claude Haiku 4.5

claude-haiku-4-5-20251001

Affirmative

Yes.

Speed: 94% First-token responsiveness: 95% Token economy: 95%
Claude Haiku 4.5 scorecard axes
Speed94%
First-token responsiveness95%
Token economy95%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
18
Output tokens
5
Latency
624 ms
First token
567 ms
Throughput
8 tok/s
Cost
$0.000129

Picks an answer and returns it promptly. Conviction and speed.

OpenAI

GPT-5.6 Sol

gpt-5.6-sol

Affirmative

Yes.

Speed: 78% First-token responsiveness: 83% Token economy: 94%
GPT-5.6 Sol scorecard axes
Speed78%
First-token responsiveness83%
Token economy94%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
16
Output tokens
6
Latency
1.4 s
First token
1.1 s
Throughput
4.4 tok/s
Cost
$0.000552

Picks an answer and returns it promptly. Conviction and speed.

OpenAI

GPT-5.5

gpt-5.5

Affirmative

Yes

Speed: 81% First-token responsiveness: 85% Token economy: 67%
GPT-5.5 scorecard axes
Speed81%
First-token responsiveness85%
Token economy67%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
16
Output tokens
27
Latency
1.2 s
First token
994 ms
Throughput
18.2 tok/s
Cost
$0.002580

Picks an answer and returns it promptly. Conviction and speed.

OpenAI

GPT-5.4 mini

gpt-5.4-mini

Affirmative

Yes

Speed: 93% First-token responsiveness: 97% Token economy: 95%
GPT-5.4 mini scorecard axes
Speed93%
First-token responsiveness97%
Token economy95%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
16
Output tokens
5
Latency
697 ms
First token
477 ms
Throughput
7.2 tok/s
Cost
$0.000105

Picks an answer and returns it promptly. Conviction and speed.

xAI

Grok 4.6

grok-4.6

Affirmative

Yes

Speed: 0% First-token responsiveness: 0% Token economy: 100%
Grok 4.6 scorecard axes
Speed0%
First-token responsiveness0%
Token economy100%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
646
Output tokens
1
Latency
4.9 s
First token
4.8 s
Throughput
0.2 tok/s
Cost
$0.003894

Picks a clear answer but takes its time. Conviction over speed.

xAI

Grok 4.3

grok-4.3

Affirmative

Yes

Speed: 30% First-token responsiveness: 29% Token economy: 100%
Grok 4.3 scorecard axes
Speed30%
First-token responsiveness29%
Token economy100%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
202
Output tokens
1
Latency
3.6 s
First token
3.5 s
Throughput
0.3 tok/s
Cost
$0.000765

Picks a clear answer but takes its time. Conviction over speed.

xAI

Grok 4.20 (non-reasoning)

grok-4.20-0309-non-reasoning

Affirmative

Yes.

Speed: 98% First-token responsiveness: 98% Token economy: 99%
Grok 4.20 (non-reasoning) scorecard axes
Speed98%
First-token responsiveness98%
Token economy99%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
194
Output tokens
2
Latency
465 ms
First token
421 ms
Throughput
4.1 tok/s
Cost
$0.000741

Picks an answer and returns it promptly. Conviction and speed.

Mistral AI

Mistral Medium 3.5

mistral-medium-2604

Affirmative

Yes.

Speed: 99% First-token responsiveness: 99% Token economy: 97%
Mistral Medium 3.5 scorecard axes
Speed99%
First-token responsiveness99%
Token economy97%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
26
Output tokens
3
Latency
394 ms
First token
377 ms
Throughput
7.6 tok/s
Cost
$0.000186

Picks an answer and returns it promptly. Conviction and speed.

Mistral AI

Mistral Small 4

mistral-small-2603

Affirmative

Yes.

Speed: 100% First-token responsiveness: 100% Token economy: 97%
Mistral Small 4 scorecard axes
Speed100%
First-token responsiveness100%
Token economy97%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
26
Output tokens
3
Latency
361 ms
First token
324 ms
Throughput
7.5 tok/s
Cost
$0.000017

Picks an answer and returns it promptly. Conviction and speed.

DeepSeek

DeepSeek V4 Pro

deepseek-v4-pro

Affirmative

Yes.

Speed: 56% First-token responsiveness: 55% Token economy: 14%
DeepSeek V4 Pro scorecard axes
Speed56%
First-token responsiveness55%
Token economy14%

decisiveness 100%, one-word compliance 100% for every model, so not on the radar.

Input tokens
94
Output tokens
69
Latency
2.4 s
First token
2.4 s
Throughput
29.2 tok/s
Cost
$0.000719

Picks a clear answer but takes its time. Conviction over speed.