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Run: 2026-04-27-01KQ77B658YWQHK0ET7CAKV1W5
Run Details
Model:
Qwen 3.6 Flash
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
22.8s
Cost:
$0.007795
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
27.17%
Matches word count
(details)
75.31%
Dialogue to Total Word Ratio
(details)
51.2377%
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
Molly adjusted her tiara. "The target is the playroom. Guarded by the nanny and a very large dog." "What's the loot?" "All of it. Toys, tablets, gift cards. We strip the tree before Mom gets back from grocery duty." "You want me to risk my reputation for a Lego set?" "It's not just a Lego set, Bill. It's the mega-castle. The one with the drone." "The drone with the heat-seeking?" "That's the one. Plus, if we fail, you're grounded until you're thirty." "Fine. What's the distraction?" "I'm going to sing 'Happy Birthday' off-key while playing the kazoo. You grab the sack and run for the window." "Window? We're on the second floor." "Trust the inflatable unicorn." "You're using the inflatable unicorn bouncy castle?" "Precision landing, Bill. Put on this party hat. It's camouflaged in glitter." "Is this glue?" "It's tactical sprinkles. Check your pockets." "Do we have the rope?" "We have six rolls of wrapping paper and a stress ball shaped like a clown." "I hate this crew. Pass the clown." "On three, Bill. Remember the plan: silence until the cake." "Right. Silence, theft, glitter evasion." "Three!" Bill shouted, "HAPPY BIRTHDAY, TIMMY, YOU SMELL LIKE DIAPER CRAP!" "Move the truck, thief number two!" "That was the stress relief!" "We'll get a new one off the stack. Go, go, go!"
created_at
"2026-04-27T10:21:46.543Z"
4/27/2026, 10:21:46 AM
model
"qwen/qwen3.6-flash"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
610
moderation_latency
(null)
generation_time
22578
tokens_prompt
77
tokens_completion
4507
native_tokens_prompt
76
native_tokens_completion
5184
native_tokens_completion_images
(null)
native_tokens_reasoning
4832
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"
usage
0.007795
router
(null)
provider_responses
0
endpoint_id
"2435bec9-c808-4f27-9fc8-12f3460d7b66"
id
"chatcmpl-93f1a029-f7fa-95b3-a7fd-b2912b66f131"
is_byok
false
latency
607
model_permaslug
"qwen/qwen3.6-flash"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777285306-TfCgcMFLg6vV0y36y9rt"
session_id
(null)
api_type
"completions"
id
"gen-1777285306-KykKvNZ0eIAsM6nEGXHh"
upstream_id
"chatcmpl-93f1a029-f7fa-95b3-a7fd-b2912b66f131"
total_cost
0.007795
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
27.17%
Matches word count
n/a
neededClean
false
words
219
75.31%
Dialogue to Total Word Ratio
Ratio: 97.30%, Deviation: 7.30%
neededClean
false
wordsTotal
222
wordsDialogue
216
51.2377%