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Run: 2026-09-03-01M1KXK8HSVDQRA8MD95KFKQSG
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
3m 35s
Cost:
$0.029323
Provider:
Ionstream
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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 tapped the map. "Bill, the pinata is not a decoy, only a prize." Bill adjusted his hat. "We cannot steal all birthday presents from tiny screaming children." Molly winked at him. "We are professionals, not robbers of toddler joy, remember this." Bill eyed the clown. "The clown has a laser pointer and a suspicious hat." Molly rolled her eyes. "Suspicious hats are our specialty, so wear one tonight again." "Molly, my favorite hat smells like burnt cake and glitter." "That is why we need a new incognito plan tonight." "We break in as bouncy castle maintenance and inflate air." "Then we walk through the belly and collect wrapped treasure." "The children will cheer for a giant bouncing rainbow castle." "The parents will scream about lasers, hats, and present theft." "We only steal every present, not the actual party itself." "Bill, a sock puppet cannot hold a grappling hook properly." "My sock puppet, Giggles, has a tiny knife hidden inside." "That is against the code, you ridiculous criminal genius again." "The chocolate fountain is a distraction, not a weapon tonight." "We dip presents in glitter and leave evidence quickly everywhere." "When the confetti rises, we vanish with every present gladly."
created_at
"2026-09-03T15:18:31.436Z"
9/3/2026, 3:18:31 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
229
moderation_latency
(null)
generation_time
214948
tokens_prompt
75
tokens_completion
9411
native_tokens_prompt
118
native_tokens_completion
11483
native_tokens_completion_images
(null)
native_tokens_reasoning
11205
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
0.02932295
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788448711-lt9nDD7X1M7w0bBIdNoH"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788448711-dDKmsh2G1KBUV6WHIEUj"
upstream_id
"1ae626aa0cb34ad38185b23a70c9bfe3"
provider_responses
0
endpoint_id
"360e373e-d445-4de9-ae30-e33d6198715b"
id
"1ae626aa0cb34ad38185b23a70c9bfe3"
is_byok
false
latency
229
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Ionstream"
status
200
total_cost
0.02932295
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Ionstream"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Matches word count
n/a
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%