Run: 2026-03-18-01KM0ATWHXM95D1QWEM7WHBGJ3

Run Details

Duration:
3.4s
Cost:
$0.000184
Provider:
Mistral

Evaluation summary

Score Evaluator
Details Link
99.38% Matches word count (details)
28.21% Dialogue to Total Word Ratio (details)
63.7953% 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
The rain drummed against the slippery roof of the party venue as Molly and Bill crouched behind a ventilation unit, peering over the edge. Inside, the sounds of laughter and a birthday cake being sung to filled the air. Molly adjusted her ski mask, her eyes darting over the room. "You sure this is the right window, Bill? It's the third one we've checked." Bill scratched his nose, still disguised, and squinted. "Positive. That foil-wrapped present table under the unicorn piñata? That’s our target. Kids don’t check under tables until after cake—we’ve got maybe twenty minutes." Molly groaned. "What if we get caught hugging a toddler or something?" Bill smirked. "Then we distract with a magic trick. Like disappearing their favorite stuffed animal. Works every time." Molly rolled her eyes. "You’ve got a moral code for a children’s party thief." "Ethics keep us from ending up on *America’s Most Wanted*. Speaking of—" Bill pointed through the foggy glass. "There’s the unicorn." Molly bit her lip. "Fine. But if we have to apologize to any sobbing five-year-olds, I’m blaming you." Bill grinned. "Deal. And for the record, stealing from kids is just advanced asset reallocation."
created_at"2026-03-18T11:21:00.235Z" 3/18/2026, 11:21:00 AM
model"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency385
moderation_latency(null)
generation_time3274
tokens_prompt77
tokens_completion319
native_tokens_prompt81
native_tokens_completion287
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"
usage0.00018435
router(null)
provider_responses
0
endpoint_id"f5ed6283-4e17-457d-98cd-2ec0c318171d"
id"17585d85c24840389ecbc0c25a1f0b80"
is_byokfalse
latency385
model_permaslug"mistralai/mistral-small-2603" 1/1/2603, 12:00:00 AM
provider_name"Mistral"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773832860-SF3KL7ilhDwAUEiuOTHw"
upstream_id"17585d85c24840389ecbc0c25a1f0b80"
total_cost0.00018435
cache_discount(null)
upstream_inference_cost0
provider_name"Mistral"

Evaluation details

Result Evaluator Details Meta Data
99.38% Matches word count n/a
neededCleanfalse
words195
28.21% Dialogue to Total Word Ratio
Ratio: 60.61%, Deviation: 10.61%
neededCleanfalse
wordsTotal198
wordsDialogue120
63.7953%