Run: 2026-04-27-01KQ74M50MFGYFT10X8MS6VWBM

Run Details

Duration:
1m 2s
Cost:
$0.012900
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

AI
The morning bell chimed as the heavy oak door clicked shut. Ground cinnamon and fresh yeast warmed the quiet room. Behind the scarred pine counter, a flour-dusted apron swished against the checkered tiles. "The vanilla beans are gone." "Gone? I left three pods on the ceramic jar." "Not gone. Swapped." "Swapped for what?" "Dried lavender. Tied with baker’s twine." "That doesn’t make any sense. Lavender ruins the custard." "Exactly why I’m asking." "Mr. Henderson never makes mistakes." "He has since Tuesday. Check the delivery logs." "I did. The signatures match perfectly." "Then check the flour sacks instead." "The white ones by the window?" "The bottom corner. Look at the stitching." A heavy canvas sack shifted on the metal shelf. Thick wool thread had been carefully unpicked and hastily re-tied in a loose knot. Sunlight caught the dust motes dancing above the cooling racks. "Someone was digging." "Or hiding. The cash register stands wide open, but the leather ledger is completely missing." "You think it connects to the historical society files?" "I think someone wanted you to notice the lavender, while they were hunting for the numbers." "And if we find them?" "We knead the truth into tomorrow’s sourdough."
created_at"2026-04-27T09:34:14.556Z" 4/27/2026, 9:34:14 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency917
moderation_latency(null)
generation_time61736
tokens_prompt81
tokens_completion4615
native_tokens_prompt78
native_tokens_completion5357
native_tokens_completion_images(null)
native_tokens_reasoning4289
native_tokens_cached64
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0128997
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"c495f5b111654d86a94ba810a815b099"
is_byokfalse
latency797
model_permaslug"qwen/qwen3.6-27b-20260422"
provider_name"Morph"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777282454-3kMSJOdkgEkYwUlS17hW"
session_id(null)
api_type"completions"
id"gen-1777282454-WMRq1stkc5ATmCVxekWU"
upstream_id"c495f5b111654d86a94ba810a815b099"
total_cost0.0128997
cache_discount(null)
upstream_inference_cost0
provider_name"Morph"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Count dialogue tags n/a
neededCleanfalse
dialogueTags(empty)