Run: 2026-04-27-01KQ72K1VYJSAG8Y3WJ4HSZ33A

Run Details

Duration:
1m 5s
Cost:
$0.014139
Provider:
Morph

Evaluation summary

Score Evaluator
Details Link
27.17% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
13.5829% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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

AI
Molly spread the creased map across the dashboard while Bill nervously clicked a pen, watching the suburban gates gleam in the bright afternoon sun. Wait until the cake is cut, slip through the doggy door. That dog has a personal trainer. Security is a golden retriever named Sir Barks a Lot. Excellent. Bypass hounds, loot, exit before the party game begins. The loot being plastic toys and three used bicycles? Plastic has a massive resale value. We hit the craft table and roll. What about kids? They are small, observant, and emotionally volatile. Dress as entertainers. I am a badger puppet, you are a damp jester. If they ask why we steal the gifts? We tell them it is a performance art piece about delayed gratification. Pack the net and stop sweating on the map. Fluorescents make me nervous. Your puppet smells like old carpet. It is vintage intimidation. Get in the van. Sir Barks a Lot naps at three fifteen. What if those deep naps go into overtime? Then we improvise. We do not share our snacks with the suspects.
created_at"2026-04-27T08:58:41.414Z" 4/27/2026, 8:58:41 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency745
moderation_latency(null)
generation_time64501
tokens_prompt77
tokens_completion5363
native_tokens_prompt76
native_tokens_completion5874
native_tokens_completion_images(null)
native_tokens_reasoning5096
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"
usage0.0141394
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"22c05e386ab749e2972ab1b557153bb8"
is_byokfalse
latency631
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-1777280321-bVdpzt1Ri6yVAHe2S1Wj"
session_id(null)
api_type"completions"
id"gen-1777280321-FsHEIJuU2HmjlYIujaDG"
upstream_id"22c05e386ab749e2972ab1b557153bb8"
total_cost0.0141394
cache_discount(null)
upstream_inference_cost0
provider_name"Morph"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
27.17% Matches word count n/a
neededCleanfalse
words181
0.00% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 90.00%
neededCleanfalse
wordsTotal181
wordsDialogue0
13.5829%