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Run: 2026-09-03-01M1M1ZYGGKQ5XREBMXG83HZP9
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
7m 33s
Cost:
$0.060185
Provider:
CoreWeave
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 said, "Bill, let us break into the children's party together now." Bill said, "Molly, I brought fake birthday hats for both of us." "We will wear them under our big grey trench coats." Bill said, "The invitations are useless, but the side gates are weak." Molly said, "I will cut the balloons before they explode very loudly." Bill said, "You will herd the kids toward the huge snack table." Molly said, "Then we sweep every wrapped present quickly into the van." Bill said, "Do not miss the one with the shiny robot dog." "The parents are glued to their glowing phones, poor victims." Molly said, "Our getaway route is through the old petting zoo fence." "Bill, if a cop arrives, we will call it research." "Molly, if a child cries, we will offer mint bubblegum." "We must leave before the embarrassing birthday cake cutting begins." Bill said, "I will drive, because I deeply fear the birthday clown." Molly said, "You will guard the present stack with a plastic sword." "The van is disguised as a mobile ice cream shop." "Every present will be stolen by the time they nap." "Then we split the glittery loot safely in our basement."
created_at
"2026-09-03T16:35:21.24Z"
9/3/2026, 4:35:21 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
245
moderation_latency
(null)
generation_time
453392
tokens_prompt
75
tokens_completion
17847
native_tokens_prompt
118
native_tokens_completion
20046
native_tokens_completion_images
(null)
native_tokens_reasoning
17556
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
0.0601852
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788453321-uE0Y3533GuDysbVPcLN0"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788453321-pgzvVRXHtcAz9V6Gn674"
upstream_id
"chatcmpl-f39f6c0d-080e-416f-81fd-0dca33430eae"
provider_responses
0
endpoint_id
"adcebe80-d2d9-40e1-a7a4-37444a12860e"
id
"chatcmpl-f39f6c0d-080e-416f-81fd-0dca33430eae"
is_byok
false
latency
205
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"CoreWeave"
status
200
total_cost
0.0601852
cache_discount
(null)
upstream_inference_cost
0
provider_name
"CoreWeave"
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%