Run: 2026-09-03-01M1KRMJ1G6AG9RD0APEHVHYQE

Run Details

Duration:
36.4s
Cost:
$0.002514
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
46.19% Dialogue to Total Word Ratio (details)
66.2836% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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 taped a glittery invitation to the fridge and stared at it like a blueprint. Bill arrived with a backpack full of plastic crowns and a suspiciously realistic birthday hat. The target was a six-year-old’s unicorn party at three, with a mountain of wrapped presents piled by the snack table. They would pose as late guests, grab the loot, and vanish before the cake. The plan hinged on timing, distraction, and not getting tackled by a sugar-fueled toddler. She checked the map while Bill checked his nerves. Outside the bouncy castle wheezed while a mother shouted for quiet inside the house. "Molly, you’re sure the parents are at the bar?" Bill whispered, adjusting his hat. "Absolutely, the invitation said adults welcome, two drink tickets each," Molly replied, tapping the glitter. "And the presents are actually unwrapped yet?" "No, they’re still wrapped, which makes them easier to carry out fast." "Great, I’ll cause a piñata explosion, you grab the big box." "Fine, but if a kid cries we’re out immediately." "Deal. What’s the code word if we’re spotted by a parent?" "Unicorn farts. Now move before the ice cream melts."
created_at"2026-09-03T13:51:50.84Z" 9/3/2026, 1:51:50 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency282
moderation_latency(null)
generation_time36351
tokens_prompt75
tokens_completion2278
native_tokens_prompt118
native_tokens_completion2281
native_tokens_completion_images(null)
native_tokens_reasoning2012
native_tokens_cached117
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)
usage0.00251408
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443510-VPmgCBRvE4Jm4zsLVDQC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443510-dgSe929cbQT4VQpZzfW0"
upstream_id"req_76a84370b2155fe8f9055bc0f080e666"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_76a84370b2155fe8f9055bc0f080e666"
is_byokfalse
latency239
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00251408
cache_discount0.00003042
upstream_inference_cost0
provider_name"Phala"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
86.38% Matches word count n/a
neededCleanfalse
words189
46.19% Dialogue to Total Word Ratio
Ratio: 40.63%, Deviation: 9.38%
neededCleanfalse
wordsTotal192
wordsDialogue78
66.2836%