Run: 2026-09-03-01M1KRHYRXTFQ81Y5K7Z3AP3H6

Run Details

Duration:
23.8s
Cost:
$0.002154
Provider:
Fireworks

Evaluation summary

Score Evaluator
Details Link
6.09% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
53.0444% 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 kicked the fence and sighed. "Bill, it's a three-year-old's birthday party. The presents are plastic dinosaurs and a glitter slime kit." Bill adjusted his clown nose. "Exactly. Parents will be distracted, security is a juice box, and the loot is untouched." Molly frowned. "The loot is untouched because the kids haven't opened them yet. We have to wait until after cake?" "No, genius, we go during the musical chairs. Chaos is our friend." "Chaos is a bunch of toddlers crying. I can barely lift a toddler." "You can lift a gift bag. Listen, plan is simple. I dress as a lost balloon vendor, you dress as the birthday girl's aunt." "The birthday girl's aunt who never shows up?" "Perfect. You cry about traffic, I slip in through the kitchen window with a cart." Molly tapped her chin. "What if a kid asks for a sticker?" "Give them a sticker. We are professionals." "Professionals don't steal from children, Bill." "We're not stealing, we're redistributing. To adults who appreciate presents. Think of it as early Christmas." He grinned. "Besides, the real prize is the goodie bags. Mini cupcakes and crayons." Molly smiled. "Okay. But if we get caught, I'm saying you kidnapped me for the candy." "Deal. And if we get caught, you say I forced you." "Fine. Let's go rob a nursery rhyme."
created_at"2026-09-03T13:50:25.586Z" 9/3/2026, 1:50:25 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency133
moderation_latency(null)
generation_time23657
tokens_prompt75
tokens_completion1403
native_tokens_prompt117
native_tokens_completion1432
native_tokens_completion_images(null)
native_tokens_reasoning1068
native_tokens_cached112
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)
usage0.00215423
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443425-MWGrF9FQDGH0AGkU8xA6"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443425-xqQ7OtNF2hEMuDMj4NtK"
upstream_id"chatcmpl-chatcmpl-3030150fb6f14426b27bfda6d6338ada"
provider_responses
0
endpoint_id"38b85376-97ef-4ae3-b2f4-b23ca1ee2495"
id"chatcmpl-chatcmpl-3030150fb6f14426b27bfda6d6338ada"
is_byokfalse
latency39
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Fireworks"
status200
total_cost0.00215423
cache_discount0.00003472
upstream_inference_cost0
provider_name"Fireworks"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
6.09% Matches word count n/a
neededCleanfalse
words223
100.00% Dialogue to Total Word Ratio
Ratio: 90.67%, Deviation: 0.67%
neededCleanfalse
wordsTotal225
wordsDialogue204
53.0444%