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Run: 2026-09-03-01M1M1Y2D13JRD1Q6QMQ069XNW
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
2m 2s
Cost:
$0.025461
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
Molly crouched behind the inflatable unicorn, counting steps across the plastic floor. Bill stood by the birthday table, balancing three balloons and one terrible plan. The children's party was full of guests who had never heard of a heist but could certainly smell the frosting. The bunting fluttered like defeated pennants, and the punch bowl glistened with suspiciously expensive lemon slices, while the tablecloth rippled every time the wind remembered what it was doing. No alarm, giggles. Each one a tiny witness. They could not testify. Too young. Molly whispered, "Check the sprinklers." Bill whispered, "Done. Cake intact." They had scouted this backyard for weeks, memorizing the crayon drawings taped to the fence and the exact angle of every juice box. Tonight, the presents would vanish before the candles were even lit. The parents would blame squirrels. Molly preferred raccoons. Molly whispered, "Gifts by the door." Bill whispered, "All of them?" Their van waited in the hedge, disguised as a very confused food truck. Inside, Bill had lined the cargo area with stolen bean bag chairs for shock absorption. He considered it practical. Molly considered it adorable. Molly whispered, "We leave nothing." Bill whispered, "Easy money." Molly whispered, "Easy smiles."
created_at
"2026-09-03T16:34:19.687Z"
9/3/2026, 4:34:19 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
766
moderation_latency
(null)
generation_time
121726
tokens_prompt
75
tokens_completion
7351
native_tokens_prompt
186
native_tokens_completion
8477
native_tokens_completion_images
(null)
native_tokens_reasoning
8193
native_tokens_cached
128
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
0.0254606
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788453259-cW8sx8CoEul3kfLZOvjJ"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788453259-cKYEkvEUqqAGakLbxrKQ"
upstream_id
"req_7ce22fb29766a62b466f2a7bb2056389"
provider_responses
0
endpoint_id
"cfc4d0ca-df7c-4b5f-9c74-328c41a7cbc3"
id
"req_7ce22fb29766a62b466f2a7bb2056389"
is_byok
false
latency
766
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Phala"
status
200
total_cost
0.0254606
cache_discount
0.0000448
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%