Run: 2026-10-27-01M5YH84F4NTGWBGRE3EV2014V

Run Details

Duration:
13.7s
Cost:
$0.005846
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
66.39% Dialogue to Total Word Ratio (details)
83.1958% 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

AI
“Molly, the party has a bouncy castle, twelve children, and one extremely suspicious clown,” Bill said. “He’s not suspicious,” Molly said. “He’s the birthday boy’s uncle. Suspicion implies competence.” “Right. Our objective: all the presents. How do we get past the parents?” “Disguises. You’re a magician, and I’m your assistant.” “You want me to perform magic?” “No. Just announce a magic trick. Parents will immediately look at their phones.” “And the children?” “I’ll release a second cake.” “Release?” “It’s on wheels. Keep up.” “Then we grab the presents and run?” “Not so fast. We replace each box with an identical empty one.” “That seems unnecessarily cruel.” “Fine. We put vegetables inside.” “That’s worse.” “Fair. Socks, then.” “What about the guard dog?” “There isn’t one.” “There’s a sign.” “It says ‘Beware of Doug.’ He’s the clown.” “Why are we robbing a children’s party anyway?” “Because the presents contain the diamonds.” “All of them?” “Probably one. We’re stealing the rest to avoid looking obvious.” “Nothing says inconspicuous like two adults fleeing with a mountain of toys.” “Good point. We’ll take the cake too.” “Is that part of the plan?” “No. It’s chocolate.” “I knew there was a reason we became professional criminals.”
created_at"2026-10-27T11:17:09.744Z" 10/27/2026, 11:17:09 AM
model"openai/gpt-6.1-terra-20261026"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency11351
moderation_latency(null)
generation_time13605
tokens_prompt75
tokens_completion392
native_tokens_prompt66
native_tokens_completion1156
native_tokens_completion_images0
native_tokens_reasoning858
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.005846
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer(null)
request_id"req-1793099829-DTy7gRMoW09TVCgllc6G"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1793099829-OqAkvwlZZY8PAawezPCT"
upstream_id"resp_0e40a670af2e0408016ae08835df6c87d1b07fbb6340c2a6dd"
provider_responses
0
endpoint_id"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id"resp_0e40a670af2e0408016ae08835df6c87d1b07fbb6340c2a6dd"
is_byokfalse
latency423
model_permaslug"openai/gpt-6.1-terra-20261026"
provider_name"OpenAI"
status200
total_cost0.005846
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
66.39% Dialogue to Total Word Ratio
Ratio: 98.00%, Deviation: 8.00%
neededCleanfalse
wordsTotal200
wordsDialogue196
83.1958%