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Run: 2026-04-24-01KQ0NVXB7XCZMN451YTZD7HTC
Run Details
Model:
GPT-5.5 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
9.8s
Cost:
$0.011340
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
93.65%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
96.8246%
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 unfolded a crayon map on the dashboard. “Bill, focus. The bouncy castle is here, the cake table is here, and the presents are guarded by one grandmother with a whistle.” “I fear whistles.” “You fear soup.” “Hot soup is just lava with vegetables.” “Disguise?” “I’ll be Mr. Giggles, balloon man.” “You can’t make balloons.” “I can make a worm.” “That’s one balloon.” “It’s versatile. Snake, belt, disappointing sword.” “And I’ll be the magician.” “You know magic?” “I know misdirection. Watch: your wallet’s gone.” “Molly.” “Relax, I put it in the glove box.” “That’s not misdirection. That’s commuting theft.” “The plan: you enter honking, distract the children with your worm empire. I slip in, stack gifts into the laundry cart, and exit through the kitchen.” “What about the clown?” “Bill, you are the clown.” “No, the real clown. Birthday parties have hierarchy.” “Then challenge him.” “To what, honk combat?” “If necessary.” Bill adjusted his red nose in the mirror. “What if the children cry?” “They won’t. We’re replacing every present with educational pamphlets.” “That’s worse.” “Fine, with cupcakes.” “Cupcakes we bought?” Molly started the van. “Bill, please. We’re thieves, not monsters.”
created_at
"2026-04-24T21:20:53.616Z"
4/24/2026, 9:20:53 PM
model
"openai/gpt-5.5-20260423"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3983
moderation_latency
(null)
generation_time
9615
tokens_prompt
77
tokens_completion
528
native_tokens_prompt
66
native_tokens_completion
367
native_tokens_completion_images
0
native_tokens_reasoning
77
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
0.01134
router
(null)
provider_responses
0
endpoint_id
"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id
"resp_02eb8b697d481bb70169ebdeb5d43c8196a0efec4bd8eac31f"
is_byok
false
latency
293
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-1777065653-2ADy1O13NVh9WAX5MDDN"
session_id
(null)
api_type
"completions"
id
"gen-1777065653-wqEky4appTnDdQGQI1hS"
upstream_id
"resp_02eb8b697d481bb70169ebdeb5d43c8196a0efec4bd8eac31f"
total_cost
0.01134
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
93.65%
Matches word count
n/a
neededClean
false
words
191
100.00%
Dialogue to Total Word Ratio
Ratio: 89.53%, Deviation: 0.47%
neededClean
false
wordsTotal
191
wordsDialogue
171
96.8246%