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Run: 2026-02-25-01KJBDZQP0N6VTZQC7DZ6ZRCA7
Run Details
Model:
Qwen 3.5 122B
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
38.5s
Cost:
$0.020914
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
99.95%
Dialogue to Total Word Ratio
(details)
99.9695%
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
“Do you think the clown is on our side, or is he undercover security?” Bill asked, adjusting his fake mustache. “He’s a hired act, Bill. He doesn’t care about the loot. He cares about the cake,” Molly replied, checking her watch. “What if the parents see us trying to steal the wrapped boxes?” “Then we become the entertainment. We grab the toys while they’re singing Happy Birthday off-key.” “It’s a birthday party, Molly. There are toddlers everywhere. They are unpredictable.” “Toddlers are the best security. They cry, parents panic, we vanish into the night.” “What about the piñata? Isn’t that usually full of candy?” “That’s where the real money is. Hidden inside the plastic donkey. We crack it open.” “A donkey? I thought it was a unicorn.” “It’s a llama, Bill. Focus. We don’t have time for animals.” “I’m just saying, if a kid bites me, I’m suing the entire family.” “You won’t get bitten. You’re wearing the mascot suit. You’re invisible.” “The suit is itchy. It smells like old cheese.” “The money is itchy, too. Ready to go?” “Let’s do this. For the loot. And the cheese smell.” “For the loot,” Molly agreed, opening the van door.
created_at
"2026-02-25T22:16:19.91Z"
2/25/2026, 10:16:19 PM
model
"qwen/qwen3.5-122b-a10b-20260224"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
376
moderation_latency
(null)
generation_time
38053
tokens_prompt
77
tokens_completion
5394
native_tokens_prompt
76
native_tokens_completion
6526
native_tokens_completion_images
(null)
native_tokens_reasoning
6231
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"stop"
usage
0.0209136
router
(null)
provider_responses
0
endpoint_id
"33d466d1-d2f7-45ed-8ff3-fda7d2e32351"
id
"chatcmpl-11e1fbe1-9e23-94df-bf02-4c270a25e9a7"
is_byok
false
latency
376
model_permaslug
"qwen/qwen3.5-122b-a10b-20260224"
provider_name
"Alibaba"
status
200
api_type
"completions"
id
"gen-1772057779-eMU5ecSXbZnTnOUPkznU"
upstream_id
"chatcmpl-11e1fbe1-9e23-94df-bf02-4c270a25e9a7"
total_cost
0.0209136
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Alibaba"
Evaluation details
Result
Evaluator
Details
Meta Data
99.98%
Matches word count
n/a
neededClean
false
words
198
99.95%
Dialogue to Total Word Ratio
Ratio: 91.46%, Deviation: 1.46%
neededClean
false
wordsTotal
199
wordsDialogue
182
99.9695%