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Run: 2026-09-02-01M1HJQ9RWVVPHKR3S7KETYKT7
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
1m 28s
Cost:
$0.004528
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 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 a pastel slide, mentally rehearsing how to steal every wrapped gift from the children's party without witnesses. Bill emerged from the shrubbery wearing a red clown nose, insisting it improved stealth but ruining his camouflage entirely tonight. Molly scowled before Bill grabbed napkins again. “We are not eating cake, Bill,” she whispered, “we are committing crime tonight.” Bill lowered a tiny crowbar, wrapped it in ribbon, and called it festive theft equipment to amaze the host tonight. Molly consulted a crayon map of the backyard, tracing her route through sprinklers, bounce houses, and one suspicious piñata nearby. Bill muttered “That piñata looks dangerous. What if it explodes?” while pointing with a juice box as if important indeed. Molly slapped his forehead gently. “No,” she replied, imagining presents inside black duffel bags already at the kitchen table tonight. They crept past a clown painting, dodged a sprinkler, and discovered the gift table guarded by an aggressive cat nearby. Bill attempted bribery with a bacon strip. The cat ignored him, then sat precisely on Molly’s detailed heist notes again. At last, Molly grabbed the largest wrapped box, Bill yanked the bouncy castle door shut, and tiny children cheered obliviously.
created_at
"2026-09-02T17:30:07.614Z"
9/2/2026, 5:30:07 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
5701
moderation_latency
(null)
generation_time
81201
tokens_prompt
75
tokens_completion
8240
native_tokens_prompt
127
native_tokens_completion
9594
native_tokens_completion_images
(null)
native_tokens_reasoning
9326
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
0.00452823
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788370207-FeuWBJZljhmGLTeXUemN"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788370207-MRegG6IUw8acRRtrYQH7"
upstream_id
"chatcmpl-0553944f-6ba8-908d-8026-a607e92383d8"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-0553944f-6ba8-908d-8026-a607e92383d8"
is_byok
false
latency
5701
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00452823
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: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%