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Run: 2026-09-03-01M1M0H79PSZ08ER4HVW37KKRP
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
1m 43s
Cost:
$0.016917
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 adjusted her fake clown nose and whispered. "We go in as prize gnomes, Bill, because no parent questions a gnome wearing a stethoscope. You lift the presents, I herd the children toward the pinata, and if anyone says cake, you freeze like a gift bag full of suspicious glitter. Then we melt into the snack table and eat like polite raccoons while counting coins quick and quiet." Bill unfolded the napkin map, then tapped the cake. "What if the dad has a laser pointer? I have never negotiated with a laser pointer. Also, I am not wearing the gnome hat, because it smells like regret and cinnamon. We take every present under the tree, including the ugly knitted scarf, because sentimental items sell to confused grandmothers at garage sales for excellent profit and zero guilt tonight." Balloons squeak softly. "Good. The pinata is our smoke screen, not a weapon. You zip the presents into the stroller, I zip the pinata into the stroller, and if a toddler points at us, we offer lollipops. If no lollipops remain, we confess to being very disappointed mascots. Then we vanish through the window after the birthday song ends and no fingerprints there."
created_at
"2026-09-03T16:09:50.141Z"
9/3/2026, 4:09:50 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
192
moderation_latency
(null)
generation_time
103143
tokens_prompt
75
tokens_completion
5644
native_tokens_prompt
118
native_tokens_completion
6618
native_tokens_completion_images
(null)
native_tokens_reasoning
6357
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
0.0169172
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788451790-uQOtRW1wzenG5iw8Q1yp"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788451790-3VnTpLWhZBdhBYHPXzL3"
upstream_id
"2112904777c44a74bcf77a3e60df1657"
provider_responses
0
endpoint_id
"360e373e-d445-4de9-ae30-e33d6198715b"
id
"2112904777c44a74bcf77a3e60df1657"
is_byok
false
latency
192
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Ionstream"
status
200
total_cost
0.0169172
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%