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Run: 2026-10-27-01M5YEFMAN3BK47CN6TYY5198X
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
26.0s
Cost:
$0.011596
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
98.86%
Dialogue to Total Word Ratio
(details)
99.4318%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% words of dialogue between two thieves named Molly and Bill who are planning to break into a children's party to steal all the presents. Only include the prose of the scene without any markdown or commentary.
Model response
Messages
Meta
AI
Molly spread the blueprints across the kitchen table, weighting each corner with a different condiment. The ranch dressing marked the front door; the hot sauce indicated danger; and the mayonnaise had no tactical purpose but refused to stand anywhere else. Bill squinted at the drawing through his novelty detective glasses. “According to my intelligence, the party starts at two. By two-fifteen, the presents should be unattended.” “Your intelligence is a picture of an invitation taped to a cereal box, Bill.” Molly tapped the box. Its cartoon tiger wore a paper mustache, which Bill insisted made the information look more confidential. Their target was the sixth birthday of a boy named Jasper, whose parents had rented the community hall and hired a magician with a reputation for losing rabbits. The invitation promised cake, games, and a mountain of presents. Bill had circled “mountain” three times, then drawn a flag on top. “We go in disguised as entertainers. You make balloon animals; I gather the gifts while everyone is distracted.” “I can make one balloon animal: a snake. It is usually dead.” Bill demonstrated with a limp yellow balloon. Molly inspected it solemnly, then placed it beside the mayonnaise for moral support. They had considered disguises before. Their attempt to impersonate plumbers had ended with a flooded bathroom and an invoice from an actual plumber. Their attempt to impersonate librarians had been more convincing, but Molly had developed such a taste for historical biographies that she forgot to steal anything at all. “What if we come as clowns? Nobody questions a clown carrying an enormous sack of suspiciously gift-shaped objects.” “Everyone questions clowns, Bill. That’s why they keep offering them little cars.” He considered this while pulling a red nose from his pocket. It squeaked indignantly under the pressure of his thumb. Molly drew a circle around the gift table on the blueprint, then a second circle around the refreshments. Her stomach made a sound like a drainpipe swallowing a trombone. Outside, rain rattled against the windows. Inside, the mayonnaise finally toppled onto its side, taking the entire west wall with it. “Perhaps we should reconsider. Jasper is six, and stealing his presents seems a bit unkind.” “Excellent point. We could steal the cake instead first, but then we’d need smaller forks.” Molly stared at him until the balloon snake rolled off the table and landed with a faint, disappointed, rubbery sigh. Then Bill noticed the small print at the bottom of the invitation. Instead of gifts, guests were asked to bring donations for the children’s hospital. The mountain would be made of books, toys, and pajamas. He slowly removed his detective glasses, revealing another, smaller pair of detective glasses underneath them. “We can’t steal those. We’re thieves, not monsters. Besides, hospital pajamas never fit my elbows.” “Then we’ll bring a present ourselves. Something generous, tasteful, and definitely not that balloon snake.” Bill picked up the snake anyway. It deserved a second chance, and perhaps a tiny pair of detective glasses too.
created_at
"2026-10-27T10:28:49.63Z"
10/27/2026, 10:28:49 AM
model
"openai/gpt-6.1-terra-20261026"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
19523
moderation_latency
(null)
generation_time
26001
tokens_prompt
75
tokens_completion
817
native_tokens_prompt
66
native_tokens_completion
2306
native_tokens_completion_images
0
native_tokens_reasoning
1678
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
service_tier
"default"
usage
0.011596
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793096929-LAuT4S4RhDlZufdhInbL"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793096929-FVYIsoAkl4OOclEqxLV2"
upstream_id
"resp_0d1ed69257320482016ae07ce1b56c87d1a05171d8666fcd9f"
provider_responses
0
endpoint_id
"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id
"resp_0d1ed69257320482016ae07ce1b56c87d1a05171d8666fcd9f"
is_byok
false
latency
314
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.011596
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
500
98.86%
Dialogue to Total Word Ratio
Ratio: 30.48%, Deviation: 0.48%
neededClean
false
wordsTotal
502
wordsDialogue
153
99.4318%