Run: 2026-07-09-01KX40ETSSHE88SA9XHQ3FQXQM

Run Details

Duration:
8.2s
Cost:
$0.010890
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
95.99% Matches word count (details)
99.21% Dialogue to Total Word Ratio (details)
97.6002% 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
“The plan is simple, Bill. We enter disguised as entertainers.” “Clowns?” “Too conspicuous.” “Magicians?” “Too competent.” “Responsible adults?” “Now you’re being ridiculous.” Molly spread a crayon map across the dashboard. “What’s the square?” “Bouncy castle.” “And the circle?” “Cake.” “And the skull?” “Birthday girl’s grandmother.” “Armed?” “Knitting needles. Sharp eyes. Peppermint breath.” “So, heavily armed.” “Exactly. We arrive at two. You juggle. I locate the presents.” “I can’t juggle.” “You throw three oranges and apologize repeatedly.” “My signature act.” “Once I’ve bagged the loot, you release the distraction.” “The rabbit?” “The toddlers.” “How?” “Announce that someone said ‘ice cream.’” “Diabolical.” “Thank you.” “What are we stealing?” “Every present.” “Even the educational ones?” “We have standards, Bill. Especially the educational ones.” “What if they recognize us?” “Wear this dinosaur costume.” “It has no trousers.” “Dinosaurs didn’t wear trousers.” “Dinosaurs didn’t attend suburban birthdays.” “Not with that attitude.” A knock sounded on the van window. “Is that the grandmother?” “Worse.” “Police?” “Birthday girl.” The child held up an invitation. “She says we’re late.” “Smile.” “She says Mum hired us.” “For what?” “Entertainment.” Molly sighed. “Bill, start apologizing.” He grabbed the oranges. “Children, prepare to be underwhelmed.” “And the presents?” “Later.” “Why?” “The grandmother’s knitting us scarves.” “Aw.” “Crime can wait.”
created_at"2026-07-09T17:57:53.602Z" 7/9/2026, 5:57:53 PM
model"openai/gpt-5.6-sol-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency653
moderation_latency(null)
generation_time8100
tokens_prompt77
tokens_completion560
native_tokens_prompt66
native_tokens_completion352
native_tokens_completion_images0
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.01089
router(null)
provider_responses
0
endpoint_id"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id"resp_0775608f3a54748f016a4fe121ada88197a2e795eb8ee129f6"
is_byokfalse
latency236
model_permaslug"openai/gpt-5.6-sol-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783619873-dGBWrHaHbHatUQtCzIzU"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783619873-CLBCOX9aR1UlLhVnvUjy"
upstream_id"resp_0775608f3a54748f016a4fe121ada88197a2e795eb8ee129f6"
total_cost0.01089
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
95.99% Matches word count n/a
neededCleanfalse
words208
99.21% Dialogue to Total Word Ratio
Ratio: 87.02%, Deviation: 2.98%
neededCleanfalse
wordsTotal208
wordsDialogue181
97.6002%