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Run: 2026-09-02-01M1HAT3QMZT8ZDPDGJ3BY4N97
Run Details
Model:
Qwen 3.7 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
1m 25s
Cost:
$0.001738
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
89.75%
Dialogue to Total Word Ratio
(details)
44.8755%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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 adjusted the thermal scope on her wrist while Bill wrestled a duffel bag of noise-canceling earmuffs under the driver's seat. The unmarked minivan smelled of old pizza rolls and desperation. Outside, polka music vibrated through the chassis as Mrs. Gable's birthday bash raged next door. Molly zoomed the infrared overlay, painting the backyard in ghostly greens. She identified three pressure-sensitive garden gnomes near the patio doors and tapped her control pad. Bill hummed nervously, kicking a loose lug nut under the brake pedal. "The perimeter is tighter than you'd expect," Molly whispered, not looking away from the display. Heat signatures moved rhythmically around the cake stand. "Motion sensors on the doggie doors. Tripwires calibrated for squirrels." Bill squinted at his clipboard, covered in sticky notes detailing gift valuations. "She upgraded to military-grade pet deterrence? Since when?" "Since the Great Cracker Heist of '21. You remember? We lost three grand because you tried to barter with a dry cleaning coupon. She's gone legit with alarms now, but we have contingencies." Bill flushed red under his tactical onesie. "Structural error. The punch ladle was the focus. Anyway, what's the window?" Molly checked her watch, syncing with the countdown timer. "Four minutes until candle blowing. Guests surge for buttercream, that's our breach point. No ladders, no ladles. Pure asset liquidation." "Just the assets?" Bill gripped the steering wheel. "Especially the assets. If you hesitate, the golden retriever patrols the flank. Neighborhood watch trained him. You deploy the decoy cannon and pray." Bill nodded, knuckles white. "I trust the plan. Mostly. What about the toddlers?" Molly produced a remote with a button labeled LOL. "Giggle protocol activates automatically. They'll think we're magical elves. By the time they process reality, we'll be gone. Zip line to the oak tree, vanish into the night. Ready?" Bill took a deep breath, clutching a bag of star-shaped confetti. "Ready. Let's haul these limited-edition Legos and vanish." Molly kicked the door open. "Move!" They scrambled into the night as the first flame flickered.
created_at
"2026-09-02T15:11:43.867Z"
9/2/2026, 3:11:43 PM
model
"qwen/qwen3.7-flash-20260727"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
375
moderation_latency
(null)
generation_time
84752
tokens_prompt
75
tokens_completion
10389
native_tokens_prompt
76
native_tokens_completion
13351
native_tokens_completion_images
(null)
native_tokens_reasoning
12856
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
0.00173791
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788361903-NNgl03gLTMR1k1A5Pu7F"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788361903-JVJHSOG4HDR0DhLVoD1H"
upstream_id
"chatcmpl-7a1ef28b-de13-9edd-a04e-a111d82a97ab"
provider_responses
0
endpoint_id
"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id
"chatcmpl-7a1ef28b-de13-9edd-a04e-a111d82a97ab"
is_byok
false
latency
375
model_permaslug
"qwen/qwen3.7-flash-20260727"
provider_name
"Alibaba"
status
200
total_cost
0.00173791
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
0.00%
Matches word count
n/a
neededClean
false
words
335
89.75%
Dialogue to Total Word Ratio
Ratio: 48.53%, Deviation: 1.47%
neededClean
false
wordsTotal
340
wordsDialogue
165
44.8755%