Run: 2026-07-25-01KYD6C2ZHRM4KJ7N3QZAFQ0B7

Run Details

Duration:
8.2s
Cost:
$0.004748
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
67.37% Dialogue to Total Word Ratio (details)
80.5107% 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
"So we're really hitting a five-year-old's birthday party?" Molly said. "Biggest score of our careers," Bill said. "You mean we're stealing juice boxes and Paw Patrol wrapping paper?" "I mean we're stealing presents. Last year a kid in there got a PlayStation." "That was your nephew. You bought the PlayStation." "And I'm taking it back. It's called a recession." "Okay, what's the brilliant plan? We just walk in and grab the table?" "We infiltrate. I go as the clown. You go as the other clown." "There is only one clown, Bill. Parents know what clown they hired." "Please. All clowns look identical to exhausted parents. Just red noses and regret." "So we just waddle in with face paint?" "You do the balloons. I do distraction. Then when they sing happy birthday-" "We shout surprise?" "We grab the entire mountain of presents and run to the getaway vehicle." "Your minivan with the baby seats still in it?" "Perfect cover. No one suspects criminals in a minivan with Goldfish crumbs everywhere." "This is the dumbest heist we've ever planned." "Yeah, but it's the first heist where we get paid in Legos and cake."
created_at"2026-07-25T17:50:06.841Z" 7/25/2026, 5:50:06 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency6431
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generation_time8087
tokens_prompt75
tokens_completion285
native_tokens_prompt225
native_tokens_completion1051
native_tokens_completion_images0
native_tokens_reasoning786
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"
usage0.004748
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f74f55ef486cac6645c5"
is_byokfalse
latency231
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-1785001806-9kJ261CHlSuuzG1NdUGl"
session_id(null)
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api_type"completions"
id"gen-1785001806-3foe2RDxWoz53S5icVuM"
upstream_id"resp_6a64f74f55ef486cac6645c5"
total_cost0.004748
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
93.65% Matches word count n/a
neededCleanfalse
words191
67.37% Dialogue to Total Word Ratio
Ratio: 97.93%, Deviation: 7.93%
neededCleanfalse
wordsTotal193
wordsDialogue189
80.5107%