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Run: 2026-09-03-01M1KXS7BYGRSS34EN5FT89JMC
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
2m 8s
Cost:
$0.018337
Provider:
Alibaba
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 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
Messages
Meta
AI
Molly said, "Bill, the birthday house has forty presents, a bouncy castle, and a suspiciously armed pinata, which means trouble." Bill replied, "Molly, I can pick the lock, hide in a giant cupcake, and pose as a party favor, easily." Molly continued, "Our van is painted like a clown, our ropes smell of gummy worms, and our disguises itch terribly." Bill answered, "Do not worry, partner, because the children only see a very harmless uncle with a big red nose." Molly whispered, "At noon, the cake clown will recite poems, so we can swap every present for a sock puppet." Bill muttered, "If a toddler notices us, we simply offer him a lollipop and apologize in broken English, quickly, please." Molly grinned, "After that, we load all the presents into the ice cream truck, except the one with laser eyes." Bill sighed, "Molly, stealing birthday gifts feels slightly wrong, but insurance money pays for our new motorhome, which is nice." Molly hissed, "Forget morals, Bill. We wear the elf suits, lift the tablecloth, and roll away with every shiny box." Bill nodded, "Perfect. We meet the party, compliment the bunting, pocket the toys, and vanish before the juice boxes arrive."
created_at
"2026-09-03T15:21:46.629Z"
9/3/2026, 3:21:46 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
532
moderation_latency
(null)
generation_time
127859
tokens_prompt
75
tokens_completion
5874
native_tokens_prompt
114
native_tokens_completion
7172
native_tokens_completion_images
(null)
native_tokens_reasoning
6893
native_tokens_cached
0
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
0.01833705
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788448906-kolCFlMcvL19DtGoDoGg"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788448906-TAULSax43jj3GwJmS0WK"
upstream_id
"chatcmpl-4e7472a4-50cc-963e-8d91-bc1b3b92c365"
provider_responses
0
endpoint_id
"255a02bd-df93-4ea7-bda9-44d4373aae18"
id
"chatcmpl-4e7472a4-50cc-963e-8d91-bc1b3b92c365"
is_byok
false
latency
530
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Alibaba"
status
200
total_cost
0.01833705
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%