Run: 2026-04-24-01KQ0NSSWPKAZPA41CY97S472B

Run Details

Duration:
23.9s
Cost:
$0.046380
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.51% Dialogue to Total Word Ratio (details)
99.7551% 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 flattened the party invitation on the table. “Listen, Bill, at three o’clock the jelly arrives, at three-oh-five the magician loses a rabbit, and at three-ten we glide in.” “Glide? I wore squeaky shoes.” “Then squeak confidently.” “What if the children notice us stealing all the presents?” “We’re not stealing; we’re temporarily relocating joy.” “To our van.” “To our van-shaped annex of opportunity.” “Children cry loudly, Molly.” “So do police sirens, but you never complain until they’re close.” “I’m just saying, birthday parties have defenses. Balloons. Grandmothers. Sticky hands.” “I have neutralized sticky hands.” “How?” “Wet wipes and flattery.” “What about the clown?” “If he’s real, we avoid eye contact. If he’s hired, we bribe him with cake.” “Cake is evidence.” “Cake is morale.” Bill peered at the invitation. “It says ‘Princess Lottie turns six.’ We’re robbing Princess Lottie?” “Don’t humanize the mark.” “She drew a unicorn in crayon.” “Fine. We steal only the loud presents.” “Drums, whistles, robot dogs?” “Exactly. We’re public servants.” “And the quiet presents?” “We leave a note: ‘Dear Princess, you’re welcome. Love, sensible criminals.’” Bill sighed. “I’ll bring the wipes.” “And a card.” “Why?” “Villains need manners.” “Fine. Glitter?” “Absolutely not. We’re thieves, not monsters.”
created_at"2026-04-24T21:19:44.541Z" 4/24/2026, 9:19:44 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency22134
moderation_latency(null)
generation_time22668
tokens_prompt77
tokens_completion582
native_tokens_prompt66
native_tokens_completion1535
native_tokens_completion_images0
native_tokens_reasoning1212
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"
usage0.04638
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0f88c1952280adbc0169ebde70a0dc8197a77108886603f125"
is_byokfalse
latency271
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-1777065584-xbUHg0XUYSsRfS2LUfxq"
session_id(null)
api_type"completions"
id"gen-1777065584-0lshXTJveFyf1TV12XGY"
upstream_id"resp_0f88c1952280adbc0169ebde70a0dc8197a77108886603f125"
total_cost0.04638
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
99.51% Dialogue to Total Word Ratio
Ratio: 92.65%, Deviation: 2.65%
neededCleanfalse
wordsTotal204
wordsDialogue189
99.7551%