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Run: 2026-04-27-01KQ73HCXBFMM8G7T3C4SVCF2W
Run Details
Model:
Qwen 3.6 27B
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
1m 3s
Cost:
$0.013260
Provider:
Morph
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 bell above the oak door chimed, scattering flour into the morning light. The air smelled of browned butter and vanilla. Behind the counter, hands wiped down the marble tiles and paused, thumbs brushing a folded receipt left on the edge. "You're late again." The paper slid across the wood. "Three loaves of sourdough vanished overnight. The security camera only caught a shadow slipping past." A heavy boot scuffed the floorboards, leaning against the display case. "I told you the old supply shed has a loose latch. Anyone could slip inside." "And grab half the inventory without breaking a jar?" Fingers picked up the receipt, tracing the smudged coffee ring near the stamp. "Not just anyone. Someone who knows the delivery schedule inside out." Arms crossed, eyes fixed on the empty spot where the bread bins usually stood. "Like the hardware store owner?" A slow blink followed a quiet laugh. "Or the man who’s been borrowing our surplus since January." A knuckle tapped the folded corner. "The stamp matches the post office’s return bin." The receipt slipped into a wool pocket, fingers reaching for a still-warm cinnamon roll. "Then we let the crumbs lead us tomorrow."
created_at
"2026-04-27T09:15:15.762Z"
4/27/2026, 9:15:15 AM
model
"qwen/qwen3.6-27b-20260422"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1216
moderation_latency
(null)
generation_time
63056
tokens_prompt
81
tokens_completion
5260
native_tokens_prompt
78
native_tokens_completion
5507
native_tokens_completion_images
(null)
native_tokens_reasoning
4952
native_tokens_cached
64
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"
usage
0.0132597
router
(null)
provider_responses
0
endpoint_id
"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id
"801956c46aa64e05ace987a6511953f2"
is_byok
false
latency
637
model_permaslug
"qwen/qwen3.6-27b-20260422"
provider_name
"Morph"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777281315-D8qH499Xx0lBR3fyda2h"
session_id
(null)
api_type
"completions"
id
"gen-1777281315-zCcqkn5jPmKQGX9GWSZA"
upstream_id
"801956c46aa64e05ace987a6511953f2"
total_cost
0.0132597
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Morph"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)