Run: 2026-09-03-01M1KS1D3WZABMH3X3PQQZQBMB

Run Details

Duration:
28.7s
Cost:
$0.001990
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
86.38% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
43.1902% 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 tapped the blueprint of the backyard. Bill squinted at the candy table. Molly: The invitations say seven o’clock, cake at seven thirty. We have twenty minutes after the presents. Bill: Twenty minutes is plenty if the kids are busy opening crap. Molly: They’ll be busy screaming. That’s the plan. We dress as clowns, we blend. Bill: I hate clown shoes. Molly: You hate everything. You’ll be the sad clown, I’ll be the happy one with the grab bag. Bill: I’m not grabbing bags, I’m distracting the parents with a magic trick. Molly: The trick is stealing the good stuff while they watch your hands. Bill: What if a kid cries? Molly: Then we cry too. Sympathy theft. Bill: The presents are under the plastic tablecloth, I saw the host’s Instagram. Molly: Perfect. We lift the whole tablecloth. Bill: And if the mom asks? Molly: We say we’re the clean-up crew. Parents love clean-up crews. Bill: Do we get paid per present? Molly: We get paid per present we don’t get caught with. Bill: Fair. Seven o’clock. Don’t forget the nose. Molly: I never forget the nose. Bill: You bring the rope, I’ll bring the guilt. Molly: Guilt doesn’t fit in a duffel. They slipped out into the night, noses wobbling.
created_at"2026-09-03T13:58:51.779Z" 9/3/2026, 1:58:51 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency267
moderation_latency(null)
generation_time28702
tokens_prompt75
tokens_completion1715
native_tokens_prompt118
native_tokens_completion1805
native_tokens_completion_images(null)
native_tokens_reasoning1489
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)
usage0.00199048
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443931-FDjyhEM7cwDZsUejoNVC"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443931-IrmtiX85vVUX3nV1XhrD"
upstream_id"req_b487746f190241f6ff2efa927890a5e8"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_b487746f190241f6ff2efa927890a5e8"
is_byokfalse
latency227
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00199048
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
words211
0.00% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 90.00%
neededCleanfalse
wordsTotal213
wordsDialogue0
43.1902%