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Run: 2026-09-02-01M1H9ZPAZ7XFH3G8977QNFB0K
Run Details
Model:
Qwen 3.7 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
56.5s
Cost:
$0.001230
Provider:
Alibaba
Evaluation summary
Score
Evaluator
Details Link
60.28%
Matches word count
(details)
99.71%
Dialogue to Total Word Ratio
(details)
79.9942%
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 crouched behind the inflatable castle, tightening the strap of her tactical tutu. She wiped condensation from her goggles, scanning the chaotic sea of toddlers near the snack table. Glitter dust stuck to eyelashes. Wind whipped the banners violently. "The piƱata falls at noon," she whispered, signaling with a gloved hand. "Distraction is prime time." Bill waddled from the shadows, dragging a burlap sack that jingled menacingly. He smoothed a paper hat. "How about kid napping?" Bill suggested, his voice cracking slightly. Molly sighed, kicking a stray Lego brick aside. "No puppies. Confetti cannon. Toddlers charge the cake, parents flee for coffee. We loot the tree." Bill fumbled with his belt, producing three magnetized velvet pouches. "Sacks are totally ready. But what if the host mom catches us? She has a glare that could curdle milk." "She definitely won't. We move fast. Grab the big boxes first. Legos, consoles, anything that doesn't fit in the shoebox." Bill nodded vigorously, his hat sliding over one eye. "What about the PS5? I saw it wrapped in that ugly bow." Molly smirked, checking her waterproof watch. "Dibs on the giant robot. You get the LEGO set. Move when the juice pours." Bill grinned, revealing a gap-toothed smile. "Operation Glitter Hoard is absolutely a go." Bill held his breath.
created_at
"2026-09-02T14:57:18.186Z"
9/2/2026, 2:57:18 PM
model
"qwen/qwen3.7-flash-20260727"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
379
moderation_latency
(null)
generation_time
56467
tokens_prompt
75
tokens_completion
8843
native_tokens_prompt
76
native_tokens_completion
9445
native_tokens_completion_images
(null)
native_tokens_reasoning
9122
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
0.00123013
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788361038-wToTD7E60fRynBkaVh3F"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788361038-XbGLcBv7YGF1v69Nyzvz"
upstream_id
"chatcmpl-7eaf83a1-84d6-9531-ae11-f2f908a1f5f4"
provider_responses
0
endpoint_id
"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id
"chatcmpl-7eaf83a1-84d6-9531-ae11-f2f908a1f5f4"
is_byok
false
latency
379
model_permaslug
"qwen/qwen3.7-flash-20260727"
provider_name
"Alibaba"
status
200
total_cost
0.00123013
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
60.28%
Matches word count
n/a
neededClean
false
words
215
99.71%
Dialogue to Total Word Ratio
Ratio: 47.69%, Deviation: 2.31%
neededClean
false
wordsTotal
216
wordsDialogue
103
79.9942%