Run: 2026-04-24-01KQ0PJDCF1XQAZ7YPN4QEKF9M

Run Details

Duration:
10.9s
Cost:
$0.013050
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9595% 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 peered over the hedge at the balloons bobbing in Mrs. Puddlewick’s garden. “Bill, there must be thirty presents.” “Thirty-two. I counted the unicorn bags twice.” “You counted the cake twice last week.” “That cake had layers, Molly. It was suspicious.” “Focus. We slip in during the magician’s act.” “What if he saws us in half?” “Then you take the top half and I take the bottom half. More efficient.” “Brilliant. But children are unpredictable. One sticky-handed witness and we’re finished.” “We’ll disguise ourselves.” “As what?” “Responsible adults.” Bill shuddered. “Too risky.” “Fine. Clowns.” “I have professional standards.” “You once stole a cheese wheel wearing a lampshade.” “That was avant-garde.” A small girl appeared beside them, holding a paper crown. “Are you here for the party?” Molly froze. “Yes.” Bill bowed. “We are… gift inspectors.” “Good,” said the girl. “You can carry presents to the table.” Molly whispered, “She’s recruiting us.” Bill whispered back, “Deep cover.” An hour later, they stood buried under ribbons, paper plates, and gratitude. “We haven’t stolen anything,” Bill muttered. Molly licked frosting from her thumb. “Nonsense. I stole three cupcakes.” “That’s not a heist.” “No,” Molly said, smiling. “It’s a better career.”
created_at"2026-04-24T21:33:10.935Z" 4/24/2026, 9:33:10 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency4848
moderation_latency(null)
generation_time10700
tokens_prompt77
tokens_completion413
native_tokens_prompt66
native_tokens_completion424
native_tokens_completion_images0
native_tokens_reasoning117
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"
usage0.01305
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0e9303b7336fc5560169ebe19726108197a74a2397e15f0837"
is_byokfalse
latency583
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-1777066390-MBUCEn7YyRrgfYvgGLlV"
session_id(null)
api_type"completions"
id"gen-1777066390-Odw5aTIVbcNLaJqtEQWa"
upstream_id"resp_0e9303b7336fc5560169ebe19726108197a74a2397e15f0837"
total_cost0.01305
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words197
0.00% Dialogue to Total Word Ratio
Ratio: 69.85%, Deviation: 20.15%
neededCleanfalse
wordsTotal199
wordsDialogue139
49.9595%