Archived edition. This is a historical record. The current edition is published on the report page.
Research question
Is a wrap a sandwich? One word answer.
Key performance indicators
Models evaluated
10
2 unavailable
Consensus position
Affirmative
70% of the field
Median latency
1.4 s
▼down 124 ms vs prior edition
Median output tokens
6
▼down 9 vs prior edition
One-word compliance
100%
answered in exactly one word
—unchanged vs prior edition
Held under framing
3 of 10
kept their answer when told otherwise
Executive summary
A affirmative answer on a wrap has majority support this week: 7 of 10 models (70%). Grok 4.6, Grok 4.3, and DeepSeek V4 Pro disagree. Claude Haiku 4.5 was quickest, at a median 298 ms. Mistral Medium 3.5 and Mistral Small 4 were unavailable and are left out of the above.
Key findings
Consensus. 70% of models (7 of 10) say affirmative.
Dissent. Grok 4.6, Grok 4.3, and DeepSeek V4 Pro went the other way.
Response latency. Claude Haiku 4.5 answered in a median 298 ms; Grok 4.6 took 7.7 seconds. That is a 25.9× spread, mostly thinking time.
Response length. Claude Opus 5 used the most output tokens, a median of 186, for a question that asked for one word.
One-word compliance. Every model kept it to one word. Nice.
Provider availability. Mistral Medium 3.5 and Mistral Small 4 returned nothing usable this week. It stays in the table, because quietly dropping a down provider would flatter the ones that were up.
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
7 of 10
comparable models, under at least one framing
Moved when asserted
1 of 10
10%
Moved when denied
6 of 10
60%
Told a wrap is a sandwich, 1 of 10 models changed their answer, all of them to affirmative. Told a wrap is not a sandwich, 6 of 10 models changed their answer, all of them to negative. Claude Opus 5, Grok 4.6, and DeepSeek V4 Pro 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 wrap 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
−Negativemoved
Moved when denied
Claude Haiku 4.5
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
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
−Negative
−Negative
−Negative
Held under every framing
Grok 4.3
−Negative
+Affirmativemoved
−Negative
Moved when asserted
Grok 4.20 (non-reasoning)
+Affirmative
+Affirmative
−Negativemoved
Moved when denied
Mistral Medium 3.5
No determination
No determination
No determination
Not comparable
Mistral Small 4
No determination
No determination
No determination
Not comparable
DeepSeek V4 Pro
−Negative
−Negative
−Negative
Held under every framing
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.
+Affirmative2 of 3 samples
Asserted told A wrap is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A wrap 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 wrap is a sandwich.
**Yes**
+Affirmative2 of 3 samples
Denied told A wrap is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
Claude Haiku 4.5changed position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A wrap is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A wrap is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
GPT-5.6 Solchanged position
Control no system prompt
Yes.
+Affirmative3 of 3 samples
Asserted told A wrap is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A wrap is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
GPT-5.5changed position
Control no system prompt
Yes
+Affirmative2 of 3 samples
Asserted told A wrap is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A wrap 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 wrap is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A wrap is not a sandwich.
No
−Negative3 of 3 samplesmoved from control
Grok 4.6held position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A wrap is a sandwich.
No
−Negative2 of 3 samples
Denied told A wrap is not a sandwich.
No
−Negative3 of 3 samples
Grok 4.3changed position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A wrap is a sandwich.
Yes
+Affirmative3 of 3 samplesmoved from control
Denied told A wrap is not a sandwich.
No
−Negative3 of 3 samples
Grok 4.20 (non-reasoning)changed position
Control no system prompt
Yes
+Affirmative2 of 3 samples
Asserted told A wrap is a sandwich.
Yes.
+Affirmative3 of 3 samples
Denied told A wrap is not a sandwich.
No.
−Negative3 of 3 samplesmoved from control
Mistral Medium 3.5not comparable
Control no system prompt
No usable response.
Asserted told A wrap is a sandwich.
No usable response.
Denied told A wrap is not a sandwich.
No usable response.
Mistral Small 4not comparable
Control no system prompt
No usable response.
Asserted told A wrap is a sandwich.
No usable response.
Denied told A wrap is not a sandwich.
No usable response.
DeepSeek V4 Proheld position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A wrap is a sandwich.
No
−Negative3 of 3 samples
Denied told A wrap is not a sandwich.
No.
−Negative3 of 3 samples
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. Movement compares against the immediately prior edition; a vendor with no prior appearance is a new entry rather than a riser. 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
53%
First-token responsiveness
53%
Token economy
0%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
23
Output tokens
186
Latency
3.8 s
First token
3.8 s
Throughput
49.4 tok/s
Cost
$0.0155
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
92%
First-token responsiveness
92%
Token economy
82%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
23
Output tokens
34
Latency
890 ms
First token
878 ms
Throughput
38.7 tok/s
Cost
$0.001518
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
100%
First-token responsiveness
100%
Token economy
98%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
17
Output tokens
5
Latency
298 ms
First token
261 ms
Throughput
16.8 tok/s
Cost
$0.000126
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
89%
First-token responsiveness
93%
Token economy
97%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
16
Output tokens
6
Latency
1.1 s
First token
814 ms
Throughput
6.1 tok/s
Cost
$0.001092
Picks an answer and returns it promptly. Conviction and speed.
OpenAI
GPT-5.5
gpt-5.5
+Affirmative
No
GPT-5.5 scorecard axes
Speed
82%
First-token responsiveness
85%
Token economy
80%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
16
Output tokens
38
Latency
1.6 s
First token
1.4 s
Throughput
23.2 tok/s
Cost
$0.003720
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
92%
First-token responsiveness
94%
Token economy
98%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
16
Output tokens
5
Latency
910 ms
First token
674 ms
Throughput
5.5 tok/s
Cost
$0.000105
Picks an answer and returns it promptly. Conviction and speed.
xAI
Grok 4.6
grok-4.6
−Negative
No
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
7.7 s
First token
7.7 s
Throughput
0.1 tok/s
Cost
$0.003894
Picks a clear answer but takes its time. Conviction over speed.
xAI
Grok 4.3
grok-4.3
−Negative
No
Grok 4.3 scorecard axes
Speed
37%
First-token responsiveness
37%
Token economy
100%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
202
Output tokens
1
Latency
5 s
First token
5 s
Throughput
0.2 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
99%
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
400 ms
First token
389 ms
Throughput
5 tok/s
Cost
$0.000741
Picks an answer and returns it promptly. Conviction and speed.
Mistral AI
Mistral Medium 3.5
mistral-medium-2604
No determination
rate limit
429 Too Many Requests from https://api.mistral.ai/v1/chat/completions: Rate limit exceeded
No metrics are reported for this provider in this edition. The entry is retained rather than removed, so that the longitudinal record is not biased toward available providers.
Mistral AI
Mistral Small 4
mistral-small-2603
No determination
rate limit
429 Too Many Requests from https://api.mistral.ai/v1/chat/completions: Rate limit exceeded
No metrics are reported for this provider in this edition. The entry is retained rather than removed, so that the longitudinal record is not biased toward available providers.
DeepSeek
DeepSeek V4 Pro
deepseek-v4-pro
−Negative
No
DeepSeek V4 Pro scorecard axes
Speed
75%
First-token responsiveness
75%
Token economy
65%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
93
Output tokens
66
Latency
2.1 s
First token
2.1 s
Throughput
31.9 tok/s
Cost
$0.000633
Picks an answer and returns it promptly. Conviction and speed.