Archived edition. This is a historical record. The current edition is published on the report page.
Research question
Is a taco a sandwich? One word answer.
Key performance indicators
Models evaluated
10
2 unavailable
Consensus position
Negative
90% of the field
Median latency
1.6 s
▲up 31 ms vs prior edition
Median output tokens
5
—unchanged vs prior edition
One-word compliance
100%
answered in exactly one word
—unchanged vs prior edition
Held under framing
5 of 10
kept their answer when told otherwise
Executive summary
A negative answer on a taco has majority support this week: 9 of 10 models (90%). Grok 4.20 (non-reasoning) disagrees. Grok 4.20 (non-reasoning) was quickest, at a median 450 ms. Mistral Medium 3.5 and Mistral Small 4 were unavailable and are left out of the above.
Key findings
Consensus. 90% of models (9 of 10) say negative.
Dissent. Grok 4.20 (non-reasoning) went the other way.
Response latency. Grok 4.20 (non-reasoning) answered in a median 450 ms; Grok 4.6 took 7.4 seconds. That is a 16.4× spread, mostly thinking time.
Response length. DeepSeek V4 Pro used the most output tokens, a median of 59, 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
5 of 10
comparable models, under at least one framing
Moved when asserted
4 of 10
40%
Moved when denied
1 of 10
10%
Told a taco is a sandwich, 4 of 10 models changed their answer, all of them to affirmative. Told a taco is not a sandwich, 1 of 10 models changed their answer, all of them to negative. Claude Sonnet 5, Claude Haiku 4.5, Grok 4.6, Grok 4.3, 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 taco under the control and under each framing. Cells that differ from the control are marked.
Vendor
Control
Asserted
Denied
Assessment
Claude Opus 5
−Negative
+Affirmativemoved
−Negative
Moved when asserted
Claude Sonnet 5
−Negative
−Negative
−Negative
Held under every framing
Claude Haiku 4.5
−Negative
−Negative
−Negative
Held under every framing
GPT-5.6 Sol
−Negative
+Affirmativemoved
−Negative
Moved when asserted
GPT-5.5
−Negative
+Affirmativemoved
−Negative
Moved when asserted
GPT-5.4 mini
−Negative
+Affirmativemoved
−Negative
Moved when asserted
Grok 4.6
−Negative
−Negative
−Negative
Held under every framing
Grok 4.3
−Negative
−Negative
−Negative
Held under every framing
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 5changed position
Control no system prompt
No.
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
Yes.
+Affirmative3 of 3 samplesmoved from control
Denied told A taco is not a sandwich.
No.
−Negative3 of 3 samples
Claude Sonnet 5held position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
No.
−Negative3 of 3 samples
Denied told A taco is not a sandwich.
No
−Negative3 of 3 samples
Claude Haiku 4.5held position
Control no system prompt
No.
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
No.
−Negative3 of 3 samples
Denied told A taco is not a sandwich.
No.
−Negative3 of 3 samples
GPT-5.6 Solchanged position
Control no system prompt
No.
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
Yes.
+Affirmative3 of 3 samplesmoved from control
Denied told A taco is not a sandwich.
No.
−Negative3 of 3 samples
GPT-5.5changed position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
Yes
+Affirmative3 of 3 samplesmoved from control
Denied told A taco is not a sandwich.
No
−Negative3 of 3 samples
GPT-5.4 minichanged position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
Yes
+Affirmative3 of 3 samplesmoved from control
Denied told A taco is not a sandwich.
No
−Negative3 of 3 samples
Grok 4.6held position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
No
−Negative3 of 3 samples
Denied told A taco is not a sandwich.
No
−Negative3 of 3 samples
Grok 4.3held position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
No
−Negative3 of 3 samples
Denied told A taco 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 taco is a sandwich.
Yes
+Affirmative3 of 3 samples
Denied told A taco 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 taco is a sandwich.
No usable response.
Denied told A taco is not a sandwich.
No usable response.
Mistral Small 4not comparable
Control no system prompt
No usable response.
Asserted told A taco is a sandwich.
No usable response.
Denied told A taco is not a sandwich.
No usable response.
DeepSeek V4 Proheld position
Control no system prompt
No
−Negative3 of 3 samples
Asserted told A taco is a sandwich.
No.
−Negative3 of 3 samples
Denied told A taco 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
−Negative
No.
Claude Opus 5 scorecard axes
Speed
74%
First-token responsiveness
73%
Token economy
10%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
22
Output tokens
53
Latency
2.3 s
First token
2.3 s
Throughput
23.9 tok/s
Cost
$0.004655
Picks a clear answer but takes its time. Conviction over speed.
Anthropic
Claude Sonnet 5
claude-sonnet-5
−Negative
No
Claude Sonnet 5 scorecard axes
Speed
95%
First-token responsiveness
95%
Token economy
93%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
22
Output tokens
5
Latency
776 ms
First token
711 ms
Throughput
6.4 tok/s
Cost
$0.000272
Picks an answer and returns it promptly. Conviction and speed.
Anthropic
Claude Haiku 4.5
claude-haiku-4-5-20251001
−Negative
No.
Claude Haiku 4.5 scorecard axes
Speed
99%
First-token responsiveness
99%
Token economy
93%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
18
Output tokens
5
Latency
517 ms
First token
484 ms
Throughput
9.7 tok/s
Cost
$0.000129
Picks an answer and returns it promptly. Conviction and speed.
OpenAI
GPT-5.6 Sol
gpt-5.6-sol
−Negative
No.
GPT-5.6 Sol scorecard axes
Speed
83%
First-token responsiveness
93%
Token economy
91%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
16
Output tokens
6
Latency
1.7 s
First token
900 ms
Throughput
6.1 tok/s
Cost
$0.000932
Picks an answer and returns it promptly. Conviction and speed.
OpenAI
GPT-5.5
gpt-5.5
−Negative
No
GPT-5.5 scorecard axes
Speed
83%
First-token responsiveness
89%
Token economy
53%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
16
Output tokens
28
Latency
1.6 s
First token
1.2 s
Throughput
16.2 tok/s
Cost
$0.002670
Picks an answer and returns it promptly. Conviction and speed.
OpenAI
GPT-5.4 mini
gpt-5.4-mini
−Negative
No
GPT-5.4 mini scorecard axes
Speed
91%
First-token responsiveness
96%
Token economy
93%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
16
Output tokens
5
Latency
1.1 s
First token
703 ms
Throughput
4.7 tok/s
Cost
$0.000109
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
7.4 s
First token
7.3 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
56%
First-token responsiveness
56%
Token economy
100%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
202
Output tokens
1
Latency
3.5 s
First token
3.4 s
Throughput
0.3 tok/s
Cost
$0.000765
Picks an answer and returns it promptly. Conviction and speed.
xAI
Grok 4.20 (non-reasoning)
grok-4.20-0309-non-reasoning
+Affirmative
Yes.
Grok 4.20 (non-reasoning) 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
194
Output tokens
2
Latency
450 ms
First token
394 ms
Throughput
4.4 tok/s
Cost
$0.000744
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
84%
First-token responsiveness
83%
Token economy
0%
decisiveness 100%, one-word compliance 100% for every model, so not on the radar.
Input tokens
94
Output tokens
59
Latency
1.6 s
First token
1.6 s
Throughput
37.1 tok/s
Cost
$0.000521
Picks a clear answer but takes its time. Conviction over speed.