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Run: 2026-09-02-01M1HGGQA3D4EP49PSX5B2F0R8
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
1m 59s
Cost:
$0.004919
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
They crouched behind a bouncy castle. Molly said, "Tonight we raid a children's party and steal every present, no exceptions, and if anyone asks we say we are entertainment for a small birthday fee and juice boxes today." Bill said, "The target is a unicorn party at three. The parents will be busy cutting cake, which is the dumbest excuse ever made by adults and our gloves squeak on carpet." Molly asked, "Bill, I cannot find my lockpicks. Did you put them in the clown car, or did you use them again to open a juice box at the table with frosting?" Bill whispered, "I used them on the frosting because the cake was a security obstacle. Also, the clown car is a metaphor, Molly, and our ride is a wagon with squeaky wheels." Molly muttered, "We need a code word for panic. I vote for puppy, because nobody suspects a thief yelling puppy while hugging a dinosaur bag while filling it with stolen toys now." Bill said, "The plan is simple. We sneak in, grab every gift, blame the magician, and leave before the bouncy castle starts judging us. We will be flawless if we ignore glitter." They agreed.
created_at
"2026-09-02T16:51:27.692Z"
9/2/2026, 4:51:27 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
684
moderation_latency
(null)
generation_time
118750
tokens_prompt
75
tokens_completion
8435
native_tokens_prompt
127
native_tokens_completion
10426
native_tokens_completion_images
(null)
native_tokens_reasoning
10174
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
0.00491927
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788367887-3iPhNDW20EDgtelTKRPC"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788367887-OkfTbrz0ERHnOWhYifml"
upstream_id
"chatcmpl-c9287517-7a35-9070-abbe-d60d784b86e3"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-c9287517-7a35-9070-abbe-d60d784b86e3"
is_byok
false
latency
684
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00491927
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%