Run: 2026-04-27-01KQ738DAFQYZQNNVP4BWM4KS7

Run Details

Duration:
3m
Cost:
$0.040232
Provider:
Morph

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 drafty garage smelled like stale popcorn and broken dreams. Molly smoothed a grease stained blueprint across the workbench. Bill adjusted his tiny disguise hat. They planned the heist near a pile of discarded party hats. Crayon smudges marred the tactical map. The perimeter fence has gum traps installed by the neighborhood watch again. Their timing must be perfect when the parents dance badly to awful pop music. The alarm system runs on squeaky toys that require precise mallet strikes. A tricycle painted like a lawn mower sat in the corner. It will blend in perfectly during the parade route. "We target the birthday bash tomorrow soon." "Balloons hide cameras nicely." "I packed extra lockpicks." "Avoid the loud birthday boy." Yes Molly. The backyard shed offers a quick exit before the ice cream van arrives. Blueprints showed the cake table blocking the main door. Small carts waited behind the workbench. Molly checked her pocket for extra batteries. Bill tested the remote control on a toy drone. The drone could drop glitter bombs near the presents table. They practiced walking backward to avoid squeaky floorboards footsteps mattered. They studied the floor plan noted every hidden trap door outside the garden fence.
created_at"2026-04-27T09:10:21.269Z" 4/27/2026, 9:10:21 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1853
moderation_latency(null)
generation_time180059
tokens_prompt77
tokens_completion13033
native_tokens_prompt76
native_tokens_completion16746
native_tokens_completion_images(null)
native_tokens_reasoning12724
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"
usage0.0402322
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"b884d5a2983740829f5390b3b662f2a1"
is_byokfalse
latency614
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-1777281021-FpxYT1WGujBJtraT76JM"
session_id(null)
api_type"completions"
id"gen-1777281021-CYgfoy5fFGwdsF88yTTQ"
upstream_id"b884d5a2983740829f5390b3b662f2a1"
total_cost0.0402322
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
100.00% Dialogue to Total Word Ratio
Ratio: 10.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue20
100.0000%