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Run: 2026-04-24-01KQ0NQ4DPXAYW476E2XVRVXAS
Run Details
Model:
GPT-5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
18.9s
Cost:
$0.040470
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.87%
Dialogue to Total Word Ratio
(details)
99.9374%
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
Messages
Meta
AI
Molly pressed her ear to the bakery window. "Hear that, Bill? Thirty children, one magician, and a mountain of presents." Bill adjusted his fake mustache. "I hate this plan." "You loved it when I said 'mountain.'" "I pictured jewels, not teddy bears wearing bows." "Presents are presents." "They're for children." "Children are terrible witnesses. They describe everyone as 'tall' or 'smelled like cake.'" "Molly." "What?" "We are not stealing from a seven-year-old named Poppy." "Fine. We'll only steal from the magician." "The magician brought a rabbit." "Then the rabbit." "The rabbit has nothing." "It has mystery." Bill sighed. "What if we infiltrate, eat cake, and leave?" "That's not a heist. That's Tuesday." "Tuesday with sprinkles." Molly considered. "What if we steal all the presents, wrap them better, and return them dramatically?" "That's community service with jazz hands." "We could claim to be the Present Inspectors." "Children believe anything said with a clipboard." "Exactly." "And if they ask for badges?" "We say the badges are invisible." Bill peered inside. "Poppy is opening a pirate ship." Molly softened. "Does it have cannons?" "Foam ones." "Curse it. New plan." "We surrender?" "We become balloon pirates and guard the loot." "Aye, captain," Bill said.
created_at
"2026-04-24T21:18:17.032Z"
4/24/2026, 9:18:17 PM
model
"openai/gpt-5.5-20260423"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
16509
moderation_latency
(null)
generation_time
18773
tokens_prompt
77
tokens_completion
344
native_tokens_prompt
66
native_tokens_completion
1338
native_tokens_completion_images
0
native_tokens_reasoning
1034
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
usage
0.04047
router
(null)
provider_responses
0
endpoint_id
"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id
"resp_08975b697cb32f410169ebde191eb8819591516c87b44daf35"
is_byok
false
latency
271
model_permaslug
"openai/gpt-5.5-20260423"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777065497-TdRMbd7xhXkpuuD0sTj4"
session_id
(null)
api_type
"completions"
id
"gen-1777065497-63YRDHHpfwbkDIkbKOBi"
upstream_id
"resp_08975b697cb32f410169ebde191eb8819591516c87b44daf35"
total_cost
0.04047
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
99.87%
Dialogue to Total Word Ratio
Ratio: 88.12%, Deviation: 1.88%
neededClean
false
wordsTotal
202
wordsDialogue
178
99.9374%