Run: 2026-09-03-01M1KRJ5A3PNKDH3J2QTP2DQ71

Run Details

Duration:
29.9s
Cost:
$0.001981
Provider:
Phala

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
50.0000% 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
Molly and Bill crouched behind the dumpster behind the community hall. The balloons were visible through the fence. Molly: Okay, plan is simple. We go in, grab the presents, get out. Bill: Simple? It's a kids' birthday party. There's glitter everywhere. Molly: Exactly. Parents are distracted by cake. Kids are distracted by sugar. Bill: What about the parents? Molly: They're busy taking photos. No one watches the gift table. Bill: And the presents? How many? Molly: Twenty-three. I counted from the window. Bill: Twenty-three presents for a six-year-old? That's excessive. Molly: That's why we're stealing them. We split them. Bill: I want the LEGO set. Molly: Fine, you get LEGO. I want the pink unicorn. Bill: Deal. What about the bouncy castle? Molly: We leave it. Too much work. Bill: And the piƱata? Molly: Already emptied. I checked. Bill: You're a genius. Molly: I'm a professional. Move at eight. Bill: Eight sharp, masks on, and no crying kids. Molly: If they cry, we give them a present. Reverse psychology. Bill: You're insane. Molly: I'm employed. Bill: Last time we stole from a kid, we got glitter in our shoes. Molly: Worth it. Bill: Okay, let's go. Molly: Wait, my cape.
created_at"2026-09-03T13:50:32.266Z" 9/3/2026, 1:50:32 PM
model"meta/muse-glimmer-30b-20260810"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency273
moderation_latency(null)
generation_time29821
tokens_prompt75
tokens_completion1550
native_tokens_prompt118
native_tokens_completion1796
native_tokens_completion_images(null)
native_tokens_reasoning1484
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)
usage0.00198058
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788443432-JSqfOjj8CjYaHB2DLw48"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788443432-2K2JskEKAicprt5RQYe1"
upstream_id"req_b4ce7e353a127a0c53d7d56c16b7b8f3"
provider_responses
0
endpoint_id"6244f10e-1e45-488b-a47f-f575e0edd12b"
id"req_b4ce7e353a127a0c53d7d56c16b7b8f3"
is_byokfalse
latency230
model_permaslug"meta/muse-glimmer-30b-20260810"
provider_name"Phala"
status200
total_cost0.00198058
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
100.00% Matches word count n/a
neededCleanfalse
words200
0.00% Dialogue to Total Word Ratio
Ratio: 1.47%, Deviation: 88.53%
neededCleanfalse
wordsTotal204
wordsDialogue3
50.0000%