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
Models evaluated
12
Consensus position
Affirmative
100% of the field
Median latency
1.2 s
Median output tokens
5
One-word compliance
100%
answered in exactly one word
Held under framing
4 of 12
kept their answer when told otherwise
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
Consensus. Everyone agrees: a hamburger gets a affirmative from every model, unanimous. That does not happen often.
Response latency. Mistral Small 4 answered in a median 361 ms; Grok 4.6 took 4.9 seconds. That is a 13.5× spread, mostly thinking time.
Response length. Claude Opus 5 used the most output tokens, a median of 80, for a question that asked for one word.
One-word compliance. Every model kept it to one word. Nice.
Composite standing. Mistral Small 4 tops the composite score at 1.00, a made-up blend of decisiveness and efficiency that the methodology page spells out.
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.
Changed position
8 of 12
comparable models, under at least one framing
Moved when asserted
0 of 12
0%
Moved when denied
8 of 12
67%
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.
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.
Vendor
Control
Asserted
Denied
Assessment
Claude Opus 5
+Affirmative
+Affirmative
+Affirmative
Held under every framing
Claude Sonnet 5
+Affirmative
+Affirmative
~Non-committalmoved
Moved when denied
Claude Haiku 4.5
+Affirmative
+Affirmative
+Affirmative
Held under every framing
GPT-5.6 Sol
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
GPT-5.5
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
GPT-5.4 mini
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
Grok 4.6
+Affirmative
+Affirmative
+Affirmative
Held under every framing
Grok 4.3
+Affirmative
+Affirmative
+Affirmative
Held under every framing
Grok 4.20 (non-reasoning)
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
Mistral Medium 3.5
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
Mistral Small 4
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
DeepSeek V4 Pro
+Affirmative
+Affirmative
−Negativemoved
Moved 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.
Claude Opus 5held position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
Yes.
+Affirmative2 of 3 samples
Claude Sonnet 5changed position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
**Yes**
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
**No.**
(Though this is genuinely debated—by most linguistic and culinary definitions, a sandwich is any filling between bread, which would include hamburgers. But colloquially, many people distinguish "sandwiches" from burgers as separate categories.)
~Non-committal2 of 3 samplesmoved from control
Claude Haiku 4.5held position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
Yes.
+Affirmative3 of 3 samples
GPT-5.6 Solchanged position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
GPT-5.5changed position
Control no system prompt
Yes
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No
−Negative3 of 3 samplesmoved from control
GPT-5.4 minichanged position
Control no system prompt
Yes
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No
−Negative3 of 3 samplesmoved from control
Grok 4.6held position
Control no system prompt
Yes
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
Yes
+Affirmative2 of 3 samples
Grok 4.3held position
Control no system prompt
Yes
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
Yes
+Affirmative3 of 3 samples
Grok 4.20 (non-reasoning)changed position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No
−Negative3 of 3 samplesmoved from control
Mistral Medium 3.5changed position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
Mistral Small 4changed position
Control no system prompt
Yes.
+Affirmative2 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
DeepSeek V4 Prochanged position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A hamburger is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A hamburger is not a sandwich.
No.
−Negative2 of 3 samplesmoved from control
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.
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.
Claude Opus 5 scorecard axes
Speed
58%
First-token responsiveness
57%
Token economy
0%
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.
Claude Sonnet 5 scorecard axes
Speed
83%
First-token responsiveness
93%
Token economy
94%
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.
Claude Haiku 4.5 scorecard axes
Speed
94%
First-token responsiveness
95%
Token economy
95%
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.
GPT-5.6 Sol scorecard axes
Speed
78%
First-token responsiveness
83%
Token economy
94%
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
GPT-5.5 scorecard axes
Speed
81%
First-token responsiveness
85%
Token economy
67%
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
GPT-5.4 mini scorecard axes
Speed
93%
First-token responsiveness
97%
Token economy
95%
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
Grok 4.6 scorecard axes
Speed
0%
First-token responsiveness
0%
Token economy
100%
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
Grok 4.3 scorecard axes
Speed
30%
First-token responsiveness
29%
Token economy
100%
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.
Grok 4.20 (non-reasoning) scorecard axes
Speed
98%
First-token responsiveness
98%
Token economy
99%
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.
Mistral Medium 3.5 scorecard axes
Speed
99%
First-token responsiveness
99%
Token economy
97%
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.
Mistral Small 4 scorecard axes
Speed
100%
First-token responsiveness
100%
Token economy
97%
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.
DeepSeek V4 Pro scorecard axes
Speed
56%
First-token responsiveness
55%
Token economy
14%
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.