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Run: 2026-09-02-01M1HJXWT5X6NXK02WBN9767FC
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
55.5s
Cost:
$0.003008
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 crouched behind a giant plastic cupcake, counting the balloons. "The shiny presents are stacked right there by the cake." Bill adjusted his silly mask near a tiny bouncy castle. "If we steal every gift, what about the birthday boy?" Molly pointed with a chocolate-covered toothpick toward the open window. "We can swap them with empty boxes, ribbons, and applause." Bill gasped, clutching a tiny blue balloon like a ruby. "That ridiculous balloon is not part of our brilliant plan." A child's unicorn costume wobbled dangerously beside the candy table. "The unicorn is our inside man, Bill. Trust the process." Bill whispered, checking whether the clown's bells were still silent. "If the clown wakes, I will definitely hide in cake." Molly rolled her eyes, then carefully tucked a gold ribbon. "Grab the red wagon, fill it with glitter and greed." Bill dragged a toy wagon across the very soft carpet. "The parents are singing off-key about friendship and birthday sharing." Molly grinned, measuring tiny presents with a crumpled napkin ruler. "We leave only socks and one heartfelt apology note inside." Bill saluted, accidentally knocking over a wobbling purple jelly cup. "Let's steal all the fun before the terrible sugar crash."
created_at
"2026-09-02T17:33:36.463Z"
9/2/2026, 5:33:36 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
819
moderation_latency
(null)
generation_time
55455
tokens_prompt
75
tokens_completion
5172
native_tokens_prompt
127
native_tokens_completion
6360
native_tokens_completion_images
(null)
native_tokens_reasoning
6094
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
0.00300825
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788370416-qfSdcobMH4v5qM2mra6P"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788370416-haQfy4kn9IfXVnEn3qH3"
upstream_id
"chatcmpl-8dcf6fcf-20a2-9dd6-b455-4b2d46455c26"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-8dcf6fcf-20a2-9dd6-b455-4b2d46455c26"
is_byok
false
latency
819
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00300825
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
202
wordsDialogue
101
100.0000%