Run: 2026-09-03-01M1KB7BYS8X13648RQY2EXTXV

Run Details

Duration:
17.6s
Cost:
$0.000163
Provider:
Relace

Evaluation summary

Score Evaluator
Details Link
9.61% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
4.8041% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 pressed her eye to the peephole of the Bounce-a-Palooza party room, then recoiled as if she’d seen a clown eat a child. “Bill, we’ve got a problem.” Bill, already dressed in a too-tight magician’s costume, adjusted his sequined cummerbund. “Is it the bouncy castle? I told you we shouldn’t have scouted on a full bladder.” “No, it’s worse,” Molly whispered. “They’ve got a balloon artist. He’s making a sword. I counted three parents with fanny packs. And the birthday girl is holding the gift table like a tiny, glitter-frosted Alamo.” Bill leaned over her shoulder. “So we abort?” “Do we look like quitters?” She jabbed a finger at the door. “The presents were bought with corporate money. Overpriced plastic in oversized boxes. That’s a liquid asset, Bill. We’re not leaving without that haul.” “Fine, but my rabbit bit me,” Bill said, wincing. “I can’t do the scarf pull.” “Then do the tearful 'the rabbit died' routine. It’ll buy me time to swap the real gifts for these decoy bricks.” She patted her backpack. “The kids won’t know the difference until they unwrap them. By then we’re long gone.” “I feel bad,” Bill said. “They’re just children.” “Children who will become adults, Bill. Adults with clutter. We’re doing humanity a favor.” He nodded, slowly. “Okay. But if the birthday girl screams, I’m blaming you.” “That’s fine. My name’s Brenda anyway.” “Your name’s not Brenda.” “It is today,” Molly said. She pulled a curly red wig from her bag. “And you’re Professor Wobblebottom, the world’s saddest magician. Need to see your license?” Bill produced a laminated card from his pocket. “Made it last week. It says I’m certified by the International Guild of Amateur Sorcery.” “That’s not a real guild.” “It is in my heart.” Molly rolled her eyes. “Okay, here’s the play. You start with the balloon sword. Make one for every kid. That’ll take ten minutes. Then you do the ‘spontaneous cry’ and run to the bathroom. I’ll be waiting there with the gift sack. We swap, we exit through the kitchen, we leave the bricks wrapped in the same paper. The parents won’t notice until Christmas, and by then we’re in Cancun.” “What if they open them at the party?” “They won’t. The cake comes first. The cake is the sun around which all children orbit. Trust me.” “You’ve done this before?” Molly smiled. “I’ve done a lot of things before. Now get in there and make balloon animals.” Bill took a breath. “One more thing. What’s my catchphrase?” “I don’t know. Something sad and confusing.” “How about, ‘Now you see the joy, now you see my tears’?” “Bill, that’s perfect.” Molly shoved him through the door. “Break a leg. Or a heart. Either works.” The door swung open, and a small voice shrieked, “A MAGICIAN!” Bill turned back, his face pale. “Molly, I forgot how to make the dogs.” “Then make a snake,” she hissed. “Snakes are just sad dogs.” And then the heist began, with a balloon snake, a fake death, and a gift sack full of bricks, all under the unblinking purple gaze of a gorilla piñata.
created_at"2026-09-03T09:57:27.143Z" 9/3/2026, 9:57:27 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency506
moderation_latency(null)
generation_time17532
tokens_prompt75
tokens_completion905
native_tokens_prompt146
native_tokens_completion852
native_tokens_completion_images(null)
native_tokens_reasoning50
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)
usage0.00016285
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429447-kqkG6RlaaEAMKURfLHPx"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429447-ghwQudKCpN0In2QcVNhS"
upstream_id"7b689bed35d34cc6b4073ded8c880f5c"
provider_responses
0
endpoint_id"57c1bfab-049c-4d6a-ab34-ac1007a6043b"
id"7b689bed35d34cc6b4073ded8c880f5c"
is_byokfalse
latency506
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Relace"
status200
total_cost0.00016285
cache_discount(null)
upstream_inference_cost0
provider_name"Relace"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
9.61% Matches word count n/a
neededCleanfalse
words522
0.00% Dialogue to Total Word Ratio
Ratio: 72.43%, Deviation: 42.43%
neededCleanfalse
wordsTotal526
wordsDialogue381
4.8041%