Run: 2026-07-07-01KWZ5KVPGTW5X46QNEV64XW8X

Run Details

Duration:
6.9s
Cost:
$0.000560
Provider:
AionLabs

Evaluation summary

Score Evaluator
Details Link
90.48% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
45.2419% 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 adjusted her cartoon character mask, the cheap elastic digging into her temples. “Okay, run it by me again.” Bill sighed, his rainbow wig askew. “We go in clowning. Standard procedure.” He gestured at the bouncy castle. “I distract the birthday boy, you work the gift table.” “Right,” Molly said, peering at the pile of shimmering packages. “And then what? I just stuff them in the Happy Bunny piñata we brought?” “Don't say ‘piñata’ so loud,” Bill hissed. “It’s a decoy container.” “And the screaming children?” “Part of the ambience.” “So we’re stealing from a pack of six-year-olds,” she said flatly. “We’re spoils-porting,” Bill corrected. “A tactical redistribution of unearned gifts. It’s a noble hustle. Look, the lady in the Elsa dress accidentally ordered a forty-dollar remote-control car for a kid who wanted slime. We’d be doing her a favor.” “By making off with the loot in a defaced festive mule.” “It’s a thematic getaway vehicle!” he insisted. Molly stared at the clutter. “I am not riding out of here on a tricycle, Bill.” “We don’t have a choice. The van’s blocked in by a party-bus full of magicians.” Molly rubbed her temples. “Alright, fine. You Pirate Pete the presents, I’ll feed the monster that eats the cake. Standard procedure.”
created_at"2026-07-07T20:51:49.088Z" 7/7/2026, 8:51:49 PM
model"aion-labs/aion-3.0-mini-20260707"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency683
moderation_latency(null)
generation_time6580
tokens_prompt77
tokens_completion411
native_tokens_prompt66
native_tokens_completion367
native_tokens_completion_images(null)
native_tokens_reasoning39
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)
usage0.00056
router(null)
provider_responses
0
endpoint_id"0ad7ab68-a351-4a96-b2ef-fa8fe13adae3"
id"897a6cd1005f4b92b5f383610895442a"
is_byokfalse
latency683
model_permaslug"aion-labs/aion-3.0-mini-20260707"
provider_name"AionLabs"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783457509-T7BZQKa5SvjHlxvXLZ5j"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783457509-5ZOMWzDZ2HrVXCHZInk1"
upstream_id"897a6cd1005f4b92b5f383610895442a"
total_cost0.00056
cache_discount(null)
upstream_inference_cost0
provider_name"AionLabs"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
90.48% Matches word count n/a
neededCleanfalse
words210
0.00% Dialogue to Total Word Ratio
Ratio: 75.93%, Deviation: 25.93%
neededCleanfalse
wordsTotal216
wordsDialogue164
45.2419%