Run: 2026-04-24-01KQ0AZA8T9RAAZ105VWTARMMG

Run Details

Duration:
2m 29s
Cost:
$0.026107
Provider:
Phala

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
"You really shouldn't have added lavender to the sourdough." "I thought the festival committee wanted something unique." "They asked for tradition, not an herb garden. Now half the judging panel is breaking out in hives." "The other half is asking for the recipe." "The mayor's wife is in the back with an ice pack on her neck." "She always did have terribly sensitive skin." "This isn't funny. The Blueberry Bake-Off is tomorrow, and I'm one allergic reaction away from a lawsuit." "Relax. I made a separate batch without pollen." "Why didn't you lead with that?" "Because watching you panic is the only entertainment I get at five in the morning." "You are absolutely impossible." "And yet you still leave the back door unlocked for me." "Only because you make the best lemon tarts in the county." "Flattery won't save you from Mrs. Peabody's attorney." "Let her sue. I've got flour on my hands and a solid alibi." "An alibi?" "I was frosting éclairs when someone switched the sugar with salt yesterday." "Wait. Are we talking about the ruined scones again?" "Ruined? I thought you said they were 'intriguingly savory.'" "That was before the Women's Guild decided to tar and feather me." "They used powdered sugar, not tar. Rather festive, actually."
created_at"2026-04-24T18:10:30.818Z" 4/24/2026, 6:10:30 PM
model"moonshotai/kimi-k2.6-20260420"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1630
moderation_latency(null)
generation_time139006
tokens_prompt81
tokens_completion5437
native_tokens_prompt69
native_tokens_completion5659
native_tokens_completion_images(null)
native_tokens_reasoning5108
native_tokens_cached0
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"
usage0.02610661
router(null)
provider_responses
0
endpoint_id"a2828210-ff0a-4882-9a4f-cce2aca73946"
is_byokfalse
latency101
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"DeepInfra"
status(null)
1
endpoint_id"bb5de010-8234-4abb-b511-025d1817134a"
id"chatcmpl-bf3126895bd2548c"
is_byokfalse
latency1630
model_permaslug"moonshotai/kimi-k2.6-20260420"
provider_name"Phala"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777054230-Qw8ZpF4nN8nzgqCt71z5"
session_id(null)
api_type"completions"
id"gen-1777054230-UYOEPvejNyk6wbqWyeBU"
upstream_id"chatcmpl-bf3126895bd2548c"
total_cost0.02610661
cache_discount(null)
upstream_inference_cost0
provider_name"Phala"
response_cache_source_id(null)

Evaluation details

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