Run: 2026-04-24-01KQ0P3ZDAQEMJ1R0M8TX4K6HW

Run Details

Duration:
10.3s
Cost:
$0.011970
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
99.79% Dialogue to Total Word Ratio (details)
99.5845% 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 pressed her nose to the bakery window. “Bill, behold: balloons, cupcakes, and a mountain of presents.” “Those are for children, Molly.” “Tiny aristocrats with frosting on their cheeks. They’ll survive.” “We are jewel thieves, not villains in a bedtime warning.” “Exactly. Nobody expects professionals at a bouncy-castle party.” “I’m not crawling through a tunnel shaped like a caterpillar.” “You said that about the bank’s air duct.” “The bank’s duct didn’t sing when you touched it.” Molly unfolded a napkin map. “Here’s the plan. We arrive as entertainers.” “I refuse to be a clown.” “Fine, you’re a magician.” “I know one trick.” “Stealing watches?” “Making dignity disappear.” “Perfect. While you distract them, I stack the presents in the wagon.” “The wagon with the duck on it?” “It’s called camouflage.” “It’s called evidence with wheels.” A child inside shrieked with joy. Bill winced. “Molly, what if the presents are socks?” “Then we liberate socks.” “What if one is a puppy?” “We return the puppy with interest.” “Interest?” “A bow tie.” Bill sighed. “We could just rob the parents’ coat pockets.” Molly paused. “That is morally superior.” “Barely.” “Bill, we’re growing.” “We’re terrible.” “We’re efficient.” “Fine. But I’m keeping the magician hat.” “Only if it has cake.”
created_at"2026-04-24T21:25:17.933Z" 4/24/2026, 9:25:17 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3076
moderation_latency(null)
generation_time10172
tokens_prompt77
tokens_completion445
native_tokens_prompt66
native_tokens_completion388
native_tokens_completion_images0
native_tokens_reasoning78
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"
usage0.01197
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_08aeadb268cd8e7b0169ebdfbe14d4819694984b335e3cca9d"
is_byokfalse
latency368
model_permaslug"openai/gpt-5.5-20260423"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777065917-YfSJij0iFc3gftSZ2tRO"
session_id(null)
api_type"completions"
id"gen-1777065917-jxyqiywmut9njCkzgkyb"
upstream_id"resp_08aeadb268cd8e7b0169ebdfbe14d4819694984b335e3cca9d"
total_cost0.01197
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words205
99.79% Dialogue to Total Word Ratio
Ratio: 87.86%, Deviation: 2.14%
neededCleanfalse
wordsTotal206
wordsDialogue181
99.5845%