Run: 2026-09-03-01M1KR9P9ESKE6HT2P33Y83ECX

Run Details

Duration:
26.8s
Cost:
$0.002155
Provider:
Fireworks

Evaluation summary

Score Evaluator
Details Link
98.71% Matches word count (details)
99.40% Dialogue to Total Word Ratio (details)
99.0569% 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 spread the flyer across the kitchen table. Bill picked at a stale cupcake. "Molly, a kids' party? Presents under a plastic tablecloth? This is a crime against Christmas spirit." "It's a crime against our rent. Six kids, six parents distracted by sugar, one giant pile of shiny boxes." "And the security?" "One bored babysitter and a Bluetooth speaker playing Baby Shark on loop." "Okay, but how do we get in?" "We don't break in. We get invited. I'm 'Aunt Molly,' you're 'Uncle Bill.' We bring the cupcakes." "Do I have to wear the dinosaur onesie?" "You volunteered for it last time." "I did not volunteer. I was blackmailed." "Fine, no onesie. But you have to do the balloon animal thing." "I can make a decent poodle." "Perfect. We grab the presents at 4 PM during the piƱata chaos, toss them in the stroller." "Stroller?" "I borrowed it. It's basically a heist van." "You're a genius, Molly." "I'm a professional." "Do we have an exit?" "Back gate, Mrs. Henderson leaves it open for the dog." "And if a kid cries?" "We cry louder. It's method acting." "I love you." "Save it for the alibi."
created_at"2026-09-03T13:45:54.741Z" 9/3/2026, 1:45:54 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency105
moderation_latency(null)
generation_time26794
tokens_prompt75
tokens_completion1383
native_tokens_prompt117
native_tokens_completion1419
native_tokens_completion_images(null)
native_tokens_reasoning1101
native_tokens_cached48
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)
usage0.00215457
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443154-d0S3UDNAkREEU7PGknut"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443154-pFcrtjjyTi3THHws1AKp"
upstream_id"chatcmpl-chatcmpl-89739192870c48e4b893ec470db95a34"
provider_responses
0
endpoint_id"38b85376-97ef-4ae3-b2f4-b23ca1ee2495"
id"chatcmpl-chatcmpl-89739192870c48e4b893ec470db95a34"
is_byokfalse
latency20
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Fireworks"
status200
total_cost0.00215457
cache_discount0.00001488
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
98.71% Matches word count n/a
neededCleanfalse
words194
99.40% Dialogue to Total Word Ratio
Ratio: 92.78%, Deviation: 2.78%
neededCleanfalse
wordsTotal194
wordsDialogue180
99.0569%