Run: 2026-03-18-01KM07BN73MXMK4JC98WG3PMDK

Run Details

Duration:
3.2s
Cost:
$0.001715
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
51.93% Matches word count (details)
89.07% Dialogue to Total Word Ratio (details)
70.4959% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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

AI
“Molly, you’ve got the map?” “Of course I’ve got the map, Bill. Do I look like someone who’d rob a party blind without a map?” “You look like someone who’d rob a party blind with a spoon.” “Shut it. The children’s party is in the garden marquee. Presents stacked by the cake table. Easy.” “Easy? There are balloons.” “Yes, and?” “Balloons have eyes, Molly. They watch.” “You’re thinking of clowns.” “That’s worse.” “Listen carefully. We go in as entertainers.” “I’m not wearing a tiny hat.” “You’re wearing the hat. I’m the magician.” “You can’t do magic.” “I can do one trick.” “Name it.” “I make presents disappear.” “They’re wrapped.” “Exactly.” Bill squinted. “What if the birthday child asks questions?” “We say it’s a recycling lesson.” “Brilliant. What if the parents stop us?” Molly grinned. “I brought cupcakes.” “You brought bribery.” “I brought frosting.” “That’s somehow more criminal.” “Focus, Bill. We enter, we compliment the cake, we distract the adults, and then we load the presents into the clown car.” “We have a clown car?” “No.” “Then why did you say it?” “Because you looked worried.” “I am worried.” “Good. Worried thieves are careful thieves.” “And what are happy thieves?” “Dead,” said Molly, straightening her gloves. “Now smile. We’re going to make a child’s birthday very memorable.”
created_at"2026-03-18T10:20:15.471Z" 3/18/2026, 10:20:15 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2667
moderation_latency(null)
generation_time2928
tokens_prompt77
tokens_completion566
native_tokens_prompt66
native_tokens_completion370
native_tokens_completion_images0
native_tokens_reasoning45
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
usage0.0017145
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0ce83660a02197c50169ba7c5f88f08197a51e18964f0dc5a5"
is_byokfalse
latency205
model_permaslug"openai/gpt-5.4-mini-20260317"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773829215-ACxcalYsvqNMel5eWSH3"
upstream_id"resp_0ce83660a02197c50169ba7c5f88f08197a51e18964f0dc5a5"
total_cost0.0017145
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
51.93% Matches word count n/a
neededCleanfalse
words216
89.07% Dialogue to Total Word Ratio
Ratio: 95.83%, Deviation: 5.83%
neededCleanfalse
wordsTotal216
wordsDialogue207
70.4959%