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Run: 2026-09-03-01M1M2PSA8QTTD6DZ2D6M582HM
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
2m 13s
Cost:
$0.018820
Provider:
Phala
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 10% 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
Messages
Meta
AI
At the curb, Molly dusted sugar from her jacket while Bill practiced opening a plastic gift bag with a titanium hairpin. The party banner read Happy Birthday to the Most Normal Child, a promise neither thief had ever encountered. Through the window, cupcakes waited like tiny, suspicious satellites. Molly said, "Bring the glitter tape." Bill said, "What about the cupcake van?" Molly said, "We will steal every present." Bill said, "Even the ugly ones?" Molly said, "Especially those." Bill grinned, tucking the hairpin behind his ear. They needed a route in and a more important route out. The front door would be guarded by a parent named Derek, probably because Derek was good at guarding doors. The side fence sagged near a hedge shaped like a dinosaur, which meant it had been sagging long enough to become a local landmark. Bill would distract the clown with a fake balloon filled with nothing, a skill he had learned from a YouTube video titled Stealing Like a Grown Up. Molly would swap the present table with a table from the garage, one that held only garden gnomes and a single sad lamp. Then both thieves would vanish, their van full of presents.
created_at
"2026-09-03T16:47:49.583Z"
9/3/2026, 4:47:49 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1141
moderation_latency
(null)
generation_time
133202
tokens_prompt
75
tokens_completion
5001
native_tokens_prompt
186
native_tokens_completion
6256
native_tokens_completion_images
(null)
native_tokens_reasoning
6007
native_tokens_cached
64
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
service_tier
(null)
usage
0.01882
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788454069-YUQeFCgNmDpBeORtABGM"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788454069-gdApAGv4bzqG3PCy3WrH"
upstream_id
"req_776fa9b0f1e5cdce4980ecc681977c1e"
provider_responses
0
endpoint_id
"cfc4d0ca-df7c-4b5f-9c74-328c41a7cbc3"
id
"req_776fa9b0f1e5cdce4980ecc681977c1e"
is_byok
false
latency
1140
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Phala"
status
200
total_cost
0.01882
cache_discount
0.0000224
upstream_inference_cost
0
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
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%