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Run: 2026-09-03-01M1M0VKM1E0G4C5EJK48E1NR0
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
2m 53s
Cost:
$0.022010
Provider:
Io Net
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 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 wore a crooked party hat, and Bill squeaked in shiny elf shoes as they crouched behind a juice box table, watching children charge around like tiny armored rabbits there. "Bill, our target is a children's party, a glittering fortress of ribbons, boxes, and tiny screaming guards. We must steal every present before the cake lands. Use the confetti, the balloons, and your ridiculous elf ears to create chaos while I bag the goods. Quickly, quietly, like birthday thieves now" Bill adjusted his fake beard, which smelled faintly of cake and poor decisions, while Molly pulled out her stolen bag. "Molly, that is genius, if genius involves stealing from toddlers wearing dinosaur crowns. I will bounce balloons into their ankles, steal one gift, and blame a very suspicious uninvited puppy. You take the big boxes; I will collect the shiny ones. Then we vanish before the cake knife finds us" The presents glowed under streamers, each one a perfect small treasure. The party mother hummed in the kitchen, unaware that two criminals were about to turn a birthday into a heist. Molly nodded with illegal delight, and Bill grinned, ready to ruin the afternoon with professional courtesy. The clock ticked.
created_at
"2026-09-03T16:15:30.44Z"
9/3/2026, 4:15:30 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
810
moderation_latency
(null)
generation_time
173165
tokens_prompt
75
tokens_completion
5900
native_tokens_prompt
118
native_tokens_completion
7176
native_tokens_completion_images
(null)
native_tokens_reasoning
5597
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
0.022009536
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788452130-kATjhIePDZvIh20ukAOB"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788452130-bGrysM3QCLu5QIzzFW6u"
upstream_id
"chatcmpl-b3ce84fe-951b-4350-8166-48c277fab89b"
provider_responses
0
endpoint_id
"c65c4547-63a7-49fb-8354-a45d118663c3"
id
"chatcmpl-b3ce84fe-951b-4350-8166-48c277fab89b"
is_byok
false
latency
810
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Io Net"
status
200
total_cost
0.022009536
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Io Net"
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%