NC Bench
Overview
About
Tests
Categories
Models
Vendors
Compare
Run: 2026-07-09-01KX40A9SWTR01R86QN0SEPZ23
Run Details
Model:
GPT-5.6 Sol (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
19.1s
Cost:
$0.049680
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
99.9993%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 spread the birthday invitation across the dashboard, flattening it with a gloved hand while Bill peered through binoculars at the community hall. Inside, balloons bobbed like nervous informants, children shrieked around a magician, and a mountain of presents glittered beneath a cardboard castle. “Security consists of one clown, three grandmothers, and a tutu-wearing terrier,” Molly whispered. Bill lowered the binoculars. “That terrier has the eyes of a customs officer.” Their plan required disguises, a forged catering invoice, and twelve cupcakes filled with raspberry jam. The jam served no tactical purpose, but Molly believed every operation needed morale. Bill would enter as Professor Giggles, emergency balloon sculptor. Molly would pose as his silent assistant, because her previous attempt at ventriloquism had ended with a police horse filing a complaint. At precisely three o’clock, the magician would produce a rabbit. During the applause, Bill would twist balloons into a convincing fire alarm while Molly rolled the gifts away in the castle, which they had discovered was mounted on squeaky shopping-cart wheels. They had nearly congratulated themselves when the terrier appeared at Bill’s window, tutu fluttering, invitation clenched in its teeth, and growled with bureaucratic precision. The operation suddenly needed sausages.
created_at
"2026-07-09T17:55:25.125Z"
7/9/2026, 5:55:25 PM
model
"openai/gpt-5.6-sol-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
13209
moderation_latency
(null)
generation_time
18494
tokens_prompt
77
tokens_completion
503
native_tokens_prompt
66
native_tokens_completion
1645
native_tokens_completion_images
0
native_tokens_reasoning
1372
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"
service_tier
"default"
usage
0.04968
router
(null)
provider_responses
0
endpoint_id
"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id
"resp_0e6755613ebb3429016a4fe08d75ec8195bb6789e91a8c7c51"
is_byok
false
latency
966
model_permaslug
"openai/gpt-5.6-sol-20260709"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1783619725-IKN37husGK0Uylyu2Zo5"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783619725-ppumVgkGgSjQba072FFl"
upstream_id
"resp_0e6755613ebb3429016a4fe08d75ec8195bb6789e91a8c7c51"
total_cost
0.04968
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
199
100.00%
Dialogue to Total Word Ratio
Ratio: 10.45%, Deviation: 0.45%
neededClean
false
wordsTotal
201
wordsDialogue
21
99.9993%