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Run: 2026-09-02-01M1HGXFFNA9FK6JN1XA3VXX58
Run Details
Model:
Qwen 3.8 Flash (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
3m 25s
Cost:
$0.007956
Provider:
Alibaba
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 10% 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
The children's party had sprinklers and innocent pink party shadows. Two thieves planned to break in and steal all presents. “Bill, beware the clown, grab biggest boxes, avoid frosting completely.” “Molly, the ponies are distractions, snacks are traps, bring bags.” Molly checked her shiny lockpicks while avoiding very suspicious glitter. Bill chose green camouflage perfectly against leafy backyard garden shrubs. A parent loudly explained gluten free brownies to nobody there. Molly loved frosting, criminal challenges, and tiny presents all equally. Her pink rain boots squeaked like trapped field mice running. Bill looked like a sad green caterpillar at children's parties. They circled carefully behind the enormous juice bottle fortress nearby. A sticky child offered them suspicious cupcake bribes very happily. Bill accepted a cupcake bribe and instantly regretted the sugar. Molly counted zero security cameras and several very loud toddlers. The shiny presents gleamed under the giant plastic pirate ship. Tiny sticky toddler dragons guarded the glittering pirate treasure pile. Molly cracked her knuckles with ceremonial criminal menace, grinning widely. Bill cracked a salty cracker from the huge snack table. They exchanged silent looks of criminal resolve at the party. They crept toward the pirate ship slipping on cheese strings.
created_at
"2026-09-02T16:59:39.329Z"
9/2/2026, 4:59:39 PM
model
"qwen/qwen3.8-flash-20260826"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
625
moderation_latency
(null)
generation_time
131238
tokens_prompt
75
tokens_completion
15688
native_tokens_prompt
127
native_tokens_completion
16887
native_tokens_completion_images
(null)
native_tokens_reasoning
16629
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
0.00795594
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788368379-EzmTqNQMv7bCBhwsenOo"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788368379-nV8TY4fxFCyvlKRZX3op"
upstream_id
"chatcmpl-0e87a70a-3656-9d54-944f-ff68a750aa23"
provider_responses
0
endpoint_id
"84b1e4a7-5aed-4464-818f-1994f0b4ee18"
id
"chatcmpl-0e87a70a-3656-9d54-944f-ff68a750aa23"
is_byok
false
latency
625
model_permaslug
"qwen/qwen3.8-flash-20260826"
provider_name
"Alibaba"
status
200
total_cost
0.00795594
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
100.00%
Matches word count
n/a
neededClean
false
words
200
100.00%
Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
20
100.0000%