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Run: 2026-04-27-01KQ6ZDWYPK9FTRNK66556A7ES
Run Details
Model:
Qwen 3.5 Plus (2026-04-20)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
1m 48s
Cost:
$0.017118
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
95.2419%
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 tightened the zipper on the duffel bag until the seams screamed. Bill adjusted his fake mustache, which was peeling off in the humidity, revealing a patch of angry red skin that looked suspiciously like a clown nose. The back of the van smelled of stale popcorn and regret. Blueprints of the Henderson estate were taped to the windows, covered in red circles and warnings about aggressive bounce houses. "Are we sure about the frosting trap?" Molly checked her gadget belt, packed with sticky hands and candy wrappers. "The sugar rush is our entry point. While the brats are chewing through their arms, we grab the loot." "And the piƱata?" "Cash is always inside. That's the retirement fund." "What about the laser grid?" "The one made of balloon arches?" Molly rolled her eyes. "I brought the squeaky hammer." "Pop pop pop, we walk through." "And the cake?" "Leave the cake. We aren't monsters. Just thieves." "Deal. Really fast." Bill nodded. "Okay. The clown arrives in five. If the glitter alarm trips, we're done." "Let them look." Molly just grinned slowly, adjusting her banana suit. "Nobody suspects the fruit. Move out."
created_at
"2026-04-27T08:03:26.812Z"
4/27/2026, 8:03:26 AM
model
"qwen/qwen3.5-plus-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
715
moderation_latency
(null)
generation_time
107472
tokens_prompt
77
tokens_completion
6182
native_tokens_prompt
76
native_tokens_completion
7120
native_tokens_completion_images
(null)
native_tokens_reasoning
6843
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
0.0171184
router
(null)
provider_responses
0
endpoint_id
"8b4a0fbb-6705-4f8d-a7f1-ad18ecc0edbc"
id
"chatcmpl-a585f2f9-9434-9b21-95d3-5fdcb9bd509a"
is_byok
false
latency
715
model_permaslug
"qwen/qwen3.5-plus-20260420"
provider_name
"Alibaba"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777277006-Ov32gH7CMc0hBBZdNdqQ"
session_id
(null)
api_type
"completions"
id
"gen-1777277006-A9jM7JwVhNP16Jnj0Ehq"
upstream_id
"chatcmpl-a585f2f9-9434-9b21-95d3-5fdcb9bd509a"
total_cost
0.0171184
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
90.48%
Matches word count
n/a
neededClean
false
words
190
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
190
wordsDialogue
95
95.2419%