Run: 2026-04-27-01KQ7226WCDF0EXBQZ2FJYAYJQ

Run Details

Duration:
1m 36s
Cost:
$0.020876
Provider:
Morph

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
72.88% Dialogue to Total Word Ratio (details)
86.4382% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
The rain drummed softly against the giant inflatable bouncy castle guarding the front yard. Molly adjusted her crocheted tiara and studied the suburban driveway. Bill struggled with oversized bunny ears while checking his pocket watch. The neighborhood smelled intensely of artificial fruit and impending financial ruin. They crouched behind a carefully disguised recycling bin. The house ahead pulsed with neon streamers and chaotic giggles. Molly tapped a laminated schedule against her palm. They prepared to move. Bill tightened his blazer and checked his gear. The operation required precise timing. No alarms could trigger today. Wait for my signal exactly. Molly said "We need to hit the living room before the cake cuts. Every box is insured." Bill replied "I already disabled the cameras with sticky notes. The only guards are three poodles." Molly added "Keep the ears on for camouflage. I will handle the bags while you manage the balloons." Bill nodded "Got the net rigged for a quick exit. The parents are distracted by the magician." Molly commanded "On my mark, we grab every present and vanish." Bill whispered "Double check the perimeter and watch carefully." Molly smiled "Understood. Let us proceed with stealth and zero tears." Ready now.
created_at"2026-04-27T08:49:29.745Z" 4/27/2026, 8:49:29 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency2080
moderation_latency(null)
generation_time95806
tokens_prompt77
tokens_completion6664
native_tokens_prompt76
native_tokens_completion8681
native_tokens_completion_images(null)
native_tokens_reasoning6349
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"
usage0.0208762
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"fc5777bfea5247b09746ddb87be5cc98"
is_byokfalse
latency1334
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-1777279769-RSR6yoSRb0oHSUgkkde7"
session_id(null)
api_type"completions"
id"gen-1777279769-PEE5w71bIU4GwDLWHSKV"
upstream_id"fc5777bfea5247b09746ddb87be5cc98"
total_cost0.0208762
cache_discount(null)
upstream_inference_cost0
provider_name"Morph"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
72.88% Dialogue to Total Word Ratio
Ratio: 42.50%, Deviation: 7.50%
neededCleanfalse
wordsTotal200
wordsDialogue85
86.4382%