Run: 2026-07-25-01KYD70QMNK3FKM646NCTKAJPC

Run Details

Duration:
10.2s
Cost:
$0.006996
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
97.55% Dialogue to Total Word Ratio (details)
98.7330% 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 pressed her face against the fence. "Okay, Bill, you see the target? Six-year-olds, cake, and a mountain of presents by the clown." Bill adjusted his ski mask. "Why are we wearing ski masks to a kid's party in July? And why are we stealing Bluey toys?" "Because that Bluey Malibu dream house retails for eighty bucks, Bill. Eighty bucks times twenty kids equals retirement." "That's not how math works, Moll. That's like four hundred bucks after pawn fees." "Shut up. Phase one, you distract the clown." "How?" "Tell him you're a sad adult clown looking for mentorship." "I'm not doing that. Last time I distracted a clown I got trauma." "Fine. You go straight for the presents, I'll handle the clown, the parents, and the bouncy castle." "What's phase two?" "We run. Very fast. Before the juice boxes wear off." "Molly, what if they have goodie bags?" "Then we double our haul, Bill. Think big." "I am thinking big. I'm thinking felony theft of Paw Patrol figurines will really impress my parole officer." "Relax, it's a kid's party, what's the worst that happens?" "We get beaten up by moms hopped up on Chardonnay and Goldfish crackers."
created_at"2026-07-25T18:01:23.356Z" 7/25/2026, 6:01:23 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency9020
moderation_latency(null)
generation_time10149
tokens_prompt75
tokens_completion298
native_tokens_prompt225
native_tokens_completion1580
native_tokens_completion_images0
native_tokens_reasoning1292
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"completed"
service_tier"auto"
usage0.00699625
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f9f42c82913746314e3f"
is_byokfalse
latency681
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785002483-qkIs0uHnJfOvXxP36PSW"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002483-o0nbaT18189k7Ly9TlrY"
upstream_id"resp_6a64f9f42c82913746314e3f"
total_cost0.00699625
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words197
97.55% Dialogue to Total Word Ratio
Ratio: 93.97%, Deviation: 3.97%
neededCleanfalse
wordsTotal199
wordsDialogue187
98.7330%