Run: 2026-03-09-01KK9Q5VJK0F3XSB7NM7DQ0QC6

Run Details

Duration:
32.5s
Cost:
$0.028110
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.19% Dialogue to Total Word Ratio (details)
99.5966% 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
“Bill, this is low, even for us.” “Low? It’s efficient. Children can’t fence a scooter.” “Molly, focus. Balloons at noon, magician at one, cake chaos at two. We go in during the screaming.” “Which screaming?” “All of it.” “You’ve mapped a birthday party like a bank.” “Banks rarely have pony rides.” “And conscience.” “Conscience never fit in a getaway van.” “What’s the disguise?” “Clown.” “Absolutely not.” “Fine. Harried aunt and disappointed uncle.” “That’s less suspicious?” “Everyone has one.” “What about the dog?” “I brought sausages.” “The last dog followed you home.” “He respected professionalism.” “And the presents?” “Stacked by the fireplace. We sweep, sack, smile, vanish.” “Past twenty sugared children?” “They’ll be hypnotized by the magician pulling scarves from his sleeves.” “If he pulls us from his sleeves, I’m retiring.” Molly peered through the hedge at a sea of paper hats and tiny crowns. “Look, the pirate ship bouncy castle.” “Tempting, Bill. Crime first, bouncing later.” “Agreed. In, out, no lingering near the jelly.” “You always linger near the jelly.” “It’s operational jelly.” “Wait. Why is there a llama?” “Diversion.” “We didn’t bring a llama.” “Exactly. Best kind.” “On three?” “After the birthday song. Nobody notices villains during key changes.”
created_at"2026-03-09T16:34:10.652Z" 3/9/2026, 4:34:10 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency31668
moderation_latency(null)
generation_time32305
tokens_prompt77
tokens_completion768
native_tokens_prompt66
native_tokens_completion1863
native_tokens_completion_images0
native_tokens_reasoning1552
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"
usage0.02811
router(null)
provider_responses
0
endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_03af13f5d52599d10169aef682ba48819390e193cf0fa55c50"
is_byokfalse
latency189
model_permaslug"openai/gpt-5.4-20260305"
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-1773074050-EgzAOBb0mgMTbWQaUWga"
upstream_id"resp_03af13f5d52599d10169aef682ba48819390e193cf0fa55c50"
total_cost0.02811
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.19% Dialogue to Total Word Ratio
Ratio: 93.00%, Deviation: 3.00%
neededCleanfalse
wordsTotal200
wordsDialogue186
99.5966%