Run: 2026-04-24-01KQ0NR95H9BHRY27MDAAH6Y3E

Run Details

Model:
GPT-5.5
Duration:
8.0s
Cost:
$0.008550
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
99.92% Dialogue to Total Word Ratio (details)
99.6460% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 unfolded the party invitation like it was a bank vault blueprint, smoothing the glittery corners with grave professional care. Bill crouched beside her behind the hedge, wearing a clown wig, a burglar’s mask, and the haunted expression of a man already regretting three separate decisions. Across the street, the community hall blazed with balloons, banners, and the unmistakable shriek of sugared children. A mountain of presents sat beneath a cardboard castle, guarded only by a grandmother with a whistle and the posture of a retired prison warden. “Timing?” Molly whispered. “During cake,” Bill said. “That’s your whole plan?” “It’s a large cake.” Molly nodded, reluctantly impressed. Bill produced a sack labeled LAUNDRY, which fooled nobody, especially since it had dollar signs drawn on it in crayon. Molly pointed toward the side door, where a magician was arguing with a rabbit that refused to enter a hat. “We go in as entertainment,” she said. “I hate children.” “They hate clowns.” “Excellent cover.” Then the birthday boy spotted Bill’s wig bobbing above the hedge and yelled with battlefield enthusiasm. Thirty children surged toward them, demanding balloon swords, face paint, and justice. Molly pocketed the invitation and sighed. The heist, she realized, had already stolen their afternoon.
created_at"2026-04-24T21:18:54.648Z" 4/24/2026, 9:18:54 PM
model"openai/gpt-5.5-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency560
moderation_latency(null)
generation_time7937
tokens_prompt77
tokens_completion365
native_tokens_prompt66
native_tokens_completion274
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"
usage0.00855
router(null)
provider_responses
0
endpoint_id"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id"resp_0238edce1c5466250169ebde3ec1148193b9408517fc750933"
is_byokfalse
latency263
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-1777065534-NEtq6BPFK3Lw15dXPlRo"
session_id(null)
api_type"completions"
id"gen-1777065534-8lpEcekCNJWbiVwjwgTT"
upstream_id"resp_0238edce1c5466250169ebde3ec1148193b9408517fc750933"
total_cost0.00855
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
99.92% Dialogue to Total Word Ratio
Ratio: 11.71%, Deviation: 1.71%
neededCleanfalse
wordsTotal205
wordsDialogue24
99.6460%