Run: 2026-09-23-01M37HFVQJN1AY9Q7WWSS5NTRH

Run Details

Duration:
7.9s
Cost:
$0.003282
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
43.38% Matches word count (details)
15.91% Dialogue to Total Word Ratio (details)
29.6446% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 and Bill crouched behind a hedge shaped like a smiling dinosaur. Across the lawn, balloons bobbed above a table stacked with presents. “Is that the target?” Bill whispered. “No, Bill. That’s a dinosaur hedge.” “I meant the table.” “Then yes. Try pointing next time.” They wore black turtlenecks. Bill’s had a glittery cupcake on it, but he insisted the glitter helped him blend in. “Security?” he asked. “One grandmother at the gate. Two parents by the cake.” “And the children?” “Twenty-three, according to the invitations.” Bill swallowed. “Twenty-three witnesses.” Molly produced a clipboard and a cone-shaped hat. “We go in as party inspectors.” “That’s a job?” “It is if you look annoyed enough.” At the gate, the grandmother examined their clipboards. Molly frowned at a balloon. Bill wrote “balloon” and underlined it twice. “Cake inspection,” Molly announced. “Present inspection,” Bill added. The grandmother smiled. “Excellent. The children have been waiting for the magicians.” Before either thief could object, twenty-three children surrounded them, chanting for tricks. Bill pulled a coin from behind Molly’s ear. Molly made his clipboard disappear down the back of his trousers. The grandmother applauded. Then she handed them aprons and pointed toward the cake. “Lovely,” Molly muttered. “Now we’re catering.” Bill adjusted his hat. “Do caterers get cake?” “After cleanup.” “Best heist ever.”
created_at"2026-09-23T16:27:27.355Z" 9/23/2026, 4:27:27 PM
model"openai/gpt-6-sol-20260922"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1534
moderation_latency(null)
generation_time7849
tokens_prompt75
tokens_completion406
native_tokens_prompt66
native_tokens_completion315
native_tokens_completion_images0
native_tokens_reasoning0
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"
usage0.003282
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer(null)
request_id"req-1790180847-ZyMcIZz6lb9uH7W60CRp"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790180847-V5ut84b38jPABjuaQcLn"
upstream_id"resp_03fdb15d3a80bd65016ab3fdef751487d1a7018fe207761a02"
provider_responses
0
endpoint_id"1cfc7d9d-4404-4b8e-9ee4-58ae45c9dcd4"
id"resp_03fdb15d3a80bd65016ab3fdef751487d1a7018fe207761a02"
is_byokfalse
latency1178
model_permaslug"openai/gpt-6-sol-20260922"
provider_name"OpenAI"
status200
total_cost0.003282
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
43.38% Matches word count n/a
neededCleanfalse
words217
15.91% Dialogue to Total Word Ratio
Ratio: 38.36%, Deviation: 11.64%
neededCleanfalse
wordsTotal219
wordsDialogue84
29.6446%