Run: 2026-03-09-01KKAC4CZGJ2A3VC83471SWWNT

Run Details

Duration:
8.6s
Cost:
$0.005145
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
66.12% Dialogue to Total Word Ratio (details)
83.0529% 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
“Bill, this is our classiest job yet,” Molly whispered. “Silk masks, soft shoes, and a tactical knowledge of balloon animals.” “Children’s parties are chaos with frosting,” Bill said. “We slip in during the magician, fill the sacks, and vanish before the parents finish saying, ‘Who wants juice?’” “Good. I refuse to wrestle a clown again.” “That clown started it.” “You stole his unicycle.” “I borrowed his getaway vehicle. Focus. Presents by the cake table, yes?” “Under the giant banner that says HAPPY SEVENTH, which is helpful, because subtlety is dead.” “Any obstacles?” “Three mothers with hawk eyes, one grandfather who was allegedly in the navy, and a terrier in a bow tie.” “I can handle the navy. The dog worries me.” “The dog’s name is Princess Sprinkles.” “That worries me more.” “We enter as entertainers.” “Can you juggle?” “No, but I can look disappointed in people, and that passes for authority.” “I’ve got a puppet.” “Bill, your puppet is terrifying.” “Exactly. Children stare, adults apologize, and no one watches the presents.” “What about the birthday child?” “Bribed with an extra slice of cake.” “Efficient.” “When do we move?” “After the piñata.” “Why after?” “Because during the piñata, Bill, everyone is already armed.”
created_at"2026-03-09T22:40:23.033Z" 3/9/2026, 10:40:23 PM
model"openai/gpt-5.4-20260305"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2312
moderation_latency(null)
generation_time8540
tokens_prompt77
tokens_completion504
native_tokens_prompt66
native_tokens_completion332
native_tokens_completion_images0
native_tokens_reasoning33
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"
usage0.005145
router(null)
provider_responses
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endpoint_id"9ff5625c-403f-4d7f-b895-58ac7295062c"
id"resp_00874fa70c45a4720169af4c571a1c8193bbde8e6745c35e2a"
is_byokfalse
latency231
model_permaslug"openai/gpt-5.4-20260305"
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-1773096023-eisEbLMsrvmSTDYLWJSB"
upstream_id"resp_00874fa70c45a4720169af4c571a1c8193bbde8e6745c35e2a"
total_cost0.005145
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
66.12% Dialogue to Total Word Ratio
Ratio: 98.02%, Deviation: 8.02%
neededCleanfalse
wordsTotal202
wordsDialogue198
83.0529%