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Run: 2026-09-03-01M1M051G0RJXT1DT6WZ2F0TQS
Run Details
Model:
Qwen 3.8 27B (Reasoning, XHigh)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
2m 18s
Cost:
$0.015387
Provider:
Reka
Evaluation summary
Score
Evaluator
Details Link
100.00%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
“The almond croissants arrived at seven.” “They’re late again.” “Only by a minute. The town clock still lags behind the church bell.” “Then let’s fix the clock, not the croissants.” A tray clinked on the marble counter, and the morning smell of butter filled the room. “Someone’s already taking them home before we’ve even sliced the first one.” “Mrs. Calloway had a heart to mend. You know how she is after Tuesday.” “Tuesday hasn’t ended in this town yet.” “Maybe it should. I’m still wearing it like a coat.” A paper bag rustled on the counter, and the ticket whispered. “Two blueberries, no sugar on top.” “For her?” “For whoever’s sad enough to want a pastry that looks like it rained.” The words hung in the warm air, soft and sweet, until the oven timer began to sing. “There’s always one left over.” “Save it for me?” “Only if you promise not to eat it in the rain.” A spotted umbrella dripped by the register, and the pie sign swayed: cherry, fresh at noon. “The cherry pie will be gone by noon.” “It always is. The town eats its secrets in slices.” The oven ticked, keeping time with the river.
created_at
"2026-09-03T16:03:10.983Z"
9/3/2026, 4:03:10 PM
model
"qwen/qwen3.8-27b-20260814"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
207
moderation_latency
(null)
generation_time
137890
tokens_prompt
78
tokens_completion
5243
native_tokens_prompt
120
native_tokens_completion
6023
native_tokens_completion_images
(null)
native_tokens_reasoning
4931
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
0.01538745
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer
(null)
request_id
"req-1788451390-4VwICHyYgicg2Pxn2uL1"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1788451390-fTvenGAoB8CJDxthpyxE"
upstream_id
"chatcmpl-343f97b8-7bea-42f5-b7ae-707139a0c592"
provider_responses
0
endpoint_id
"15086968-df2f-4d69-86bb-c74c31644bb6"
id
"chatcmpl-343f97b8-7bea-42f5-b7ae-707139a0c592"
is_byok
false
latency
206
model_permaslug
"qwen/qwen3.8-27b-20260814"
provider_name
"Reka"
status
200
total_cost
0.01538745
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Reka"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)