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Run: 2026-04-24-01KQ0PJDCF1XQAZ7YPN4QEKF9M
Run Details
Model:
GPT-5.5 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.9s
Cost:
$0.013050
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.9595%
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 peered over the hedge at the balloons bobbing in Mrs. Puddlewick’s garden. “Bill, there must be thirty presents.” “Thirty-two. I counted the unicorn bags twice.” “You counted the cake twice last week.” “That cake had layers, Molly. It was suspicious.” “Focus. We slip in during the magician’s act.” “What if he saws us in half?” “Then you take the top half and I take the bottom half. More efficient.” “Brilliant. But children are unpredictable. One sticky-handed witness and we’re finished.” “We’ll disguise ourselves.” “As what?” “Responsible adults.” Bill shuddered. “Too risky.” “Fine. Clowns.” “I have professional standards.” “You once stole a cheese wheel wearing a lampshade.” “That was avant-garde.” A small girl appeared beside them, holding a paper crown. “Are you here for the party?” Molly froze. “Yes.” Bill bowed. “We are… gift inspectors.” “Good,” said the girl. “You can carry presents to the table.” Molly whispered, “She’s recruiting us.” Bill whispered back, “Deep cover.” An hour later, they stood buried under ribbons, paper plates, and gratitude. “We haven’t stolen anything,” Bill muttered. Molly licked frosting from her thumb. “Nonsense. I stole three cupcakes.” “That’s not a heist.” “No,” Molly said, smiling. “It’s a better career.”
created_at
"2026-04-24T21:33:10.935Z"
4/24/2026, 9:33:10 PM
model
"openai/gpt-5.5-20260423"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4848
moderation_latency
(null)
generation_time
10700
tokens_prompt
77
tokens_completion
413
native_tokens_prompt
66
native_tokens_completion
424
native_tokens_completion_images
0
native_tokens_reasoning
117
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
0.01305
router
(null)
provider_responses
0
endpoint_id
"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id
"resp_0e9303b7336fc5560169ebe19726108197a74a2397e15f0837"
is_byok
false
latency
583
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-1777066390-MBUCEn7YyRrgfYvgGLlV"
session_id
(null)
api_type
"completions"
id
"gen-1777066390-Odw5aTIVbcNLaJqtEQWa"
upstream_id
"resp_0e9303b7336fc5560169ebe19726108197a74a2397e15f0837"
total_cost
0.01305
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.92%
Matches word count
n/a
neededClean
false
words
197
0.00%
Dialogue to Total Word Ratio
Ratio: 69.85%, Deviation: 20.15%
neededClean
false
wordsTotal
199
wordsDialogue
139
49.9595%