Run: 2026-03-25-01KMJ9233DRTMBBK1FQTBCBR31

Run Details

Duration:
22.5s
Cost:
$0.000215
Provider:
SiliconFlow

Evaluation summary

Score Evaluator
Details Link
60.28% Matches word count (details)
99.13% Dialogue to Total Word Ratio (details)
79.7036% 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 crouched behind a bush, binoculars pressed to her face. “You said this was a jewelry warehouse.” Bill adjusted his ski mask. “It was! Then they moved. Birthday party’s renting the space.” “Bill, that’s seven clowns and a bounce house.” “And thirty unattended gift bags. You see that piñata? Stuffed like a mob boss’s mattress.” “Those are for kids.” “So were my dreams, Molly. Doesn’t mean I crushed them with a shovel.” “You can’t steal from children.” “I can and I will. They don’t even appreciate the toys. They break 'em in ten minutes. We’ll liberate them. Humanitarian mission.” “You’re wearing sparkly dinosaur pajamas.” “Stealth. Kids trust dinosaurs. Also, I forgot my black outfit.” “How do you forget your black outfit?” “It was in the wash! With the glitter socks. Now everything looks like a disco crime scene.” “Fine. But if we get caught by a toddler, I’m blaming you.” “Agreed. Now, do we hit the wrapped ones first or go straight for the candy-filled piñata?” “Piñata. Cops never check the candy.” “Smart. I brought the bat.” “Is it clean?” “It’s pink and says ‘Happy Birthday, Timmy.’” “Perfect. Let’s make Timmy cry.” “Molly, you’re a monster.” “They said the same about Napoleon.” “And look how he ended up.” “Exactly. In exile. With no presents.” “Touché.”
created_at"2026-03-25T10:36:18.929Z" 3/25/2026, 10:36:18 AM
model"qwen/qwen3-235b-a22b-07-25"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1453
moderation_latency(null)
generation_time22472
tokens_prompt77
tokens_completion422
native_tokens_prompt72
native_tokens_completion347
native_tokens_completion_images(null)
native_tokens_reasoning0
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.00021468
router(null)
provider_responses
0
endpoint_id"ce835ea8-00c7-4686-831d-7733dac5e2d9"
id"019d24910ff6d0acd9e56b104700f451"
is_byokfalse
latency1453
model_permaslug"qwen/qwen3-235b-a22b-07-25"
provider_name"SiliconFlow"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1774434978-Xpk9OkBefdl6jt7oTzXX"
upstream_id"019d24910ff6d0acd9e56b104700f451"
total_cost0.00021468
cache_discount(null)
upstream_inference_cost0
provider_name"SiliconFlow"

Evaluation details

Result Evaluator Details Meta Data
60.28% Matches word count n/a
neededCleanfalse
words215
99.13% Dialogue to Total Word Ratio
Ratio: 93.06%, Deviation: 3.06%
neededCleanfalse
wordsTotal216
wordsDialogue201
79.7036%