Run: 2026-07-25-01KYD5RT0V5PVYFFNMA59P5VZB

Run Details

Duration:
11.4s
Cost:
$0.007880
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.95% Dialogue to Total Word Ratio (details)
99.9742% 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 crouched behind the bounce house, glaring at the clown. "Listen, Molly, this is big. Timmy's mom went overboard. That's like three hundred bucks in LEGO alone." "Bill, we are professional art thieves. We stole the Van Gogh last month. Now you want us to mug toddlers for slime?" "Those limited edition Bluey sets resell faster than diamonds. Plus, juice boxes. Unlimited juice boxes." "Molly, focus. The laser grid is actually just silly string. The guard dog is a goldfish. We walk in, grab the pile, vanish." "Fine. But if I have to sing Happy Birthday again, I'm keeping the cake. And I'm not wearing the clown nose." "Deal. You distract with magic tricks, I'll bag the loot. Remember the code word? Banana." "Banana? Bill, last time you picked that, we got attacked by actual monkeys. Let's use cupcake." Bill adjusted his stolen pirate costume impatiently. "Fine, cupcake. You ready to become the most hated people at a child's party since the sugar-free parents?" "Bill, we already are." "Okay, operation Pinata Disaster is a go. On three. One, two..." "Three! And no pushing the birthday boy into the cake this time!" "I made no promises. Just grab the LEGOs."
created_at"2026-07-25T17:39:35.074Z" 7/25/2026, 5:39:35 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency10124
moderation_latency(null)
generation_time11327
tokens_prompt75
tokens_completion303
native_tokens_prompt225
native_tokens_completion1788
native_tokens_completion_images0
native_tokens_reasoning1494
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"
usage0.00788025
router(null)
provider_responses
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endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64f4d763a0e2aca0ff4c26"
is_byokfalse
latency260
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-1785001175-kIwxGKikN3kG0PtFIUWC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785001175-emtgQpgBGUZ0UIi5eGYX"
upstream_id"resp_6a64f4d763a0e2aca0ff4c26"
total_cost0.00788025
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
99.95% Dialogue to Total Word Ratio
Ratio: 91.50%, Deviation: 1.50%
neededCleanfalse
wordsTotal200
wordsDialogue183
99.9742%