Run: 2026-09-03-01M1KBNA5HNTJXC46BSZJQ4TRN

Run Details

Duration:
1m
Cost:
$0.016684
Provider:
GMICloud

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3940% 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
"Bill, I've cased the bouncy castle. The presents are under the cake table." "Under the cake table? Surrounded by five-year-olds hopped up on fizzy juice?" "Exactly. They'll be distracted by Pin the Tail on the Donkey." "Pin the Tail? Last time I got near a donkey, I left with a hoof print." "That's because you tried to ride it. This is a paper donkey." "Paper can still cut. What's the plan?" "We dress as party clowns. I'll make balloon animals, you trip over the piñata." "Why am I always the piñata guy?" "Because you have the reflexes of a caffeinated squirrel. While they laugh, I slide the gifts into my clown car." "You drive a clown car?" "I hot-wired one from the circus. It seats eight, but the trunk's tiny." "How many presents?" "Seventeen. Mostly Legos and one heavy box labeled 'Grandma.'" "I don't steal from grandmas." "It's from Grandma, not for Grandma. Relax." "Fine. But I'm not wearing floppy shoes." "Bill, the shoes are non-negotiable. They squeak." "That's the problem." "No, squeaky shoes are scientifically proven to make children laugh." "Scientifically by who?" "By me. Are you in?" "I'm in. But if I step on Lego, I keep it."
created_at"2026-09-03T10:05:04.065Z" 9/3/2026, 10:05:04 AM
model"deepseek/deepseek-v4-pro-20260813"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2738
moderation_latency(null)
generation_time60385
tokens_prompt75
tokens_completion3978
native_tokens_prompt146
native_tokens_completion4908
native_tokens_completion_images(null)
native_tokens_reasoning4607
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"stop"
service_tier(null)
usage0.01668414
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429904-73yz1mDHNsILW3DDIg7s"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429904-FUBPSQbDuf4tDXmVNQr2"
upstream_id"0afa6a38-1031-4d8a-91b7-67c24d2e9ce3"
provider_responses
0
endpoint_id"a11bdcb9-acb5-49df-9ff5-8c1486186664"
id"0afa6a38-1031-4d8a-91b7-67c24d2e9ce3"
is_byokfalse
latency2738
model_permaslug"deepseek/deepseek-v4-pro-20260813"
provider_name"GMICloud"
status200
total_cost0.01668414
cache_discount(null)
upstream_inference_cost0
provider_name"GMICloud"
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
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal204
wordsDialogue204
68.3940%