Run: 2026-03-18-01KM098GNDNXZAE6FKHKH9VSSH

Run Details

Duration:
2.7s
Cost:
$0.001683
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
32.59% Dialogue to Total Word Ratio (details)
65.9848% 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, tell me you’ve got a plan,” Bill whispered, peering at the row of balloons bobbing over the garden fence. “I’ve got a plan, a ladder, and a deeply concerning amount of clown makeup,” Molly said. “We go in as entertainers.” “You mean thieves.” “I mean entertainers with portable pockets.” Bill frowned. “What about the birthday kid?” “What about him?” “He’s six.” “Perfect. I’ve met six-year-olds with better security systems than the museum.” Bill adjusted his cap. “You’re sure the presents are worth it?” “Bill, this is a children’s party. Those boxes are like treasure chests with ribbons.” “And the cake?” “If it’s chocolate, yes. If it’s fondant, no one deserves that.” A shriek of laughter burst through the fence. Molly grinned. “Hear that? Chaos. The adults are distracted, the kids are sticky, and the presents are unattended.” “You make crime sound festive.” “It is festive. We’re basically seasonal.” Bill leaned closer. “And if someone asks who we are?” “Mister Wiggles and Aunt Sparkle.” “You can’t be Aunt Sparkle.” “Why not?” “Because you look like you’d bite a policeman.” Molly sighed. “Fine. You be Aunt Sparkle. I’ll be Mister Wiggles.” Bill straightened his tie. “I hate this already.” “Good,” said Molly. “That means you’re ready.”
created_at"2026-03-18T10:53:29.657Z" 3/18/2026, 10:53:29 AM
model"openai/gpt-5.4-mini-20260317"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1482
moderation_latency(null)
generation_time2436
tokens_prompt77
tokens_completion403
native_tokens_prompt66
native_tokens_completion363
native_tokens_completion_images0
native_tokens_reasoning56
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"
usage0.001683
router(null)
provider_responses
0
endpoint_id"9ee065b2-3d1c-43bc-bdd7-28af3b148282"
id"resp_0e356bb359e226230169ba8429bc7481908d70d49eb2d7672d"
is_byokfalse
latency212
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-1773831209-ykZVUTi9hd5IC4xPVHhZ"
upstream_id"resp_0e356bb359e226230169ba8429bc7481908d70d49eb2d7672d"
total_cost0.001683
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words205
32.59% Dialogue to Total Word Ratio
Ratio: 79.71%, Deviation: 10.29%
neededCleanfalse
wordsTotal207
wordsDialogue165
65.9848%