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Run: 2026-09-02-01M1HHMF9MCF75JRMGXCD4QT9P
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
55.9s
Cost:
$0.002686
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 50% 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 hid behind the giant inflatable unicorn, breathing loudly again. “Bill, our party guests are small, sticky, loud, and rude.” Bill unfolded the backyard map beside the chocolate cake table. “That table holds our loot, cake distractions, and terrible frosting.” Molly tucked a small wagon handle inside her feathered vest. “We need a wagon for all these shiny wrapped treasures.” Bill examined the bright balloon arch like a tactical gateway. “If we exit under the arch, nobody notices a thing.” The clown honked a sad tiny horn, startling several parents. “Perfect, Molly, chaos always smells like popcorn and regret too.” Molly pointed at a mountain of paper, ribbons, and bows. “That pile deserves immediate rescue by professional gift thieves today.” Bill checked his gold watch, then adjusted a fake mustache. “Mustaches distract children, and confuse adults about our age range.” They crept toward the presents, stepping around discarded juice boxes. “Juice boxes are weapons, Molly, remember the sticky floor here.” The birthday child screamed, demanding another slice of chocolate cake. “There, distraction served, grab the biggest wrapped present box now.” Molly lifted the giant box, smiled, and whispered a plan. “Bill, we leave with all presents, cake, and one pony.”
created_at
"2026-09-02T17:10:59.132Z"
9/2/2026, 5:10:59 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4671
moderation_latency
(null)
generation_time
55917
tokens_prompt
75
tokens_completion
5131
native_tokens_prompt
127
native_tokens_completion
5674
native_tokens_completion_images
(null)
native_tokens_reasoning
5390
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
0.00268583
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788369059-uR9A9peI64og85fclv3D"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788369059-x64rlwrzRuOYxBKRr2H3"
upstream_id
"chatcmpl-fdc25ade-a7f1-97aa-adde-aee4b5e3774e"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-fdc25ade-a7f1-97aa-adde-aee4b5e3774e"
is_byok
false
latency
4671
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00268583
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%