Run: 2026-09-03-01M1K4PM2D9VASBR7JZ4NP98M2

Run Details

Duration:
32.6s
Cost:
$0.015202
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% 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
"Listen Bill we need a plan to crash that birthday party next door and grab every shiny present" said Molly. "Molly we dress as clowns bring big balloons then stuff all the Lego sets into our trick pants" said Bill. "Brilliant but kids scream if clowns look creepy so I will wear rainbow wig and giant smile instead" said Molly. "Good call I will juggle juice boxes to distract parents while you sneak past pinata toward gift table" said Bill. "What about the birthday boy Tommy He guards his pile like a dragon with a sword you know" said Molly. "Leave Tommy to me I will challenge him to cake contest then tickle him until he drops sword" said Bill. "Perfect then I grab the bags sprint to window toss them to you waiting outside in getaway van" said Molly. "Wait Molly what if parents call cops We need code word like sprinkles to abort and run fast" said Bill. "Fine sprinkles means run but honestly Bill stealing toys from six year olds makes us total villains right" said Molly. "Absolutely Molly we are terrible people but those limited edition robot dinosaurs are worth serious cash dude today" said Bill.
created_at"2026-09-03T08:03:27.033Z" 9/3/2026, 8:03:27 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3118
moderation_latency(null)
generation_time32388
tokens_prompt75
tokens_completion297
native_tokens_prompt68
native_tokens_completion3557
native_tokens_completion_images0
native_tokens_reasoning3293
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"
usage0.01520225
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788422607-T9fbz01Am2KNTKmJxQ2V"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788422607-DpLgxF4TKn0a6QW1f6pV"
upstream_id"resp_6a9929cfc3323972c18845e1"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a9929cfc3323972c18845e1"
is_byokfalse
latency463
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.01520225
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue180
100.0000%