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Run: 2026-09-02-01M1HHTXVJY2V90RB4YCCZ3ZT9
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
1m 50s
Cost:
$0.001776
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
36.79%
Dialogue to Total Word Ratio
(details)
68.3940%
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
“Bill, the bouncy castle is our secret passage.” “Molly, it is a bouncy castle, not a submarine.” “The clown is suspicious.” “Clowns are always suspicious, Bill.” “I brought a net.” “You brought a birthday candle?” “It is for distraction.” “Bill, that is a sparkler.” “Sparkle! Stealth!” “The cake has seventeen candles.” “Seventeen presents, one wish.” “Do you wish for treasure?” “I wish for a smaller cake.” “The parents are distracted by glitter.” “Glitter is nature’s security flaw.” “What is the plan for the ponies?” “We bribe them with apples.” “Ponies do not take bribes.” “This pony has a candy wrapper.” “Molly, are we committing pony crimes?” “Obviously.” “The piñata contains a bicycle bell.” “So we break it politely?” “Politely? Bill, we are thieves.” “Stealthy thieves.” “Stealthy and slightly glittery.” “The sound system is playing nursery rhymes.” “Our cover, obviously.” “Which presents are first?” “The wrapped, the sparkly, and the sad.” “The sad one?” “Probably a sock monkey.” “I feel pity.” “Feel pity from the car.” “The car? We came in a stroller!” “Molly, that was a heist stroller.” “Bill, I am leaving the party early.” “No. The magician needs help.” “Help?” “The assistant disappeared.” “Then we assist. Then we steal.”
created_at
"2026-09-02T17:15:40.362Z"
9/2/2026, 5:15:40 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4841
moderation_latency
(null)
generation_time
40133
tokens_prompt
75
tokens_completion
3279
native_tokens_prompt
127
native_tokens_completion
3738
native_tokens_completion_images
(null)
native_tokens_reasoning
3387
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
0.00177591
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788369340-iI5JpfQ4n7b3kJFGBO3a"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788369340-b4qjRGfxblcnB9tUaSoS"
upstream_id
"chatcmpl-04087f22-fd5c-97de-ad4e-ac3809ed00f9"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-04087f22-fd5c-97de-ad4e-ac3809ed00f9"
is_byok
false
latency
4841
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00177591
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
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
200
wordsDialogue
200
68.3940%