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Run: 2026-04-24-01KQ0P8EHYDK8A52X8T78E5GM0
Run Details
Model:
GPT-5.5 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
10.3s
Cost:
$0.012120
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
68.10%
Matches word count
(details)
36.79%
Dialogue to Total Word Ratio
(details)
52.4451%
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
“Bill, stop licking the window.” “I’m testing for alarms, Molly.” “With your tongue?” “It’s a sophisticated tongue.” “It’s a bouncy castle, not the Bank of England.” “Exactly. Nobody suspects the castle.” “Focus. At three o’clock, the magician starts sawing Uncle Kevin in half. That’s our window.” “Won’t the children notice two adults dragging sacks through the jelly station?” “Not if we’re disguised.” “As what?” “Responsible entertainers.” “Terrifying. What’s my role?” “You’re Captain Wiggles, pirate balloon artist.” “I can’t make balloons.” “You can pop them dramatically and shout, ‘Sea battle!’” “And you?” “Princess Sprinkle, gift inspector.” “That sounds official.” “I made a clipboard.” “Brilliant. What about the dog?” “The invitation says ‘friendly Labrador.’” “That means hostile rug with teeth.” “I brought sausages.” “For the dog?” “For courage. But mostly the dog.” “Which presents are we taking?” “All of them.” “Even the squishy ones?” “Especially the squishy ones. Could be cashmere.” “Children don’t get cashmere.” “Rich children get existential dread in cashmere.” “Exit plan?” “We load the presents into the catering van.” “Do we have a catering van?” “We have your scooter.” “My scooter has a basket.” “Then we steal selectively.” “So, not all the presents?” “Fine, Bill. We steal the best presents and one cupcake each.” “Two cupcakes.” “Professional criminals don’t negotiate.” “Hungry ones do.”
created_at
"2026-04-24T21:27:44.463Z"
4/24/2026, 9:27:44 PM
model
"openai/gpt-5.5-20260423"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2299
moderation_latency
(null)
generation_time
10144
tokens_prompt
77
tokens_completion
503
native_tokens_prompt
66
native_tokens_completion
393
native_tokens_completion_images
0
native_tokens_reasoning
65
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
0.01212
router
(null)
provider_responses
0
endpoint_id
"58e5b336-423e-430b-a2ab-8bc353f0c51b"
id
"resp_0fcd0f3656280be40169ebe0509b388190b5890521e3e93e7d"
is_byok
false
latency
294
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-1777066064-7mLonTGtwOq1KQTdXMqc"
session_id
(null)
api_type
"completions"
id
"gen-1777066064-kxqQR0Gyfcwyw5aWgXz8"
upstream_id
"resp_0fcd0f3656280be40169ebe0509b388190b5890521e3e93e7d"
total_cost
0.01212
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
68.10%
Matches word count
n/a
neededClean
false
words
214
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
214
wordsDialogue
214
52.4451%