Run: 2026-04-27-01KQ738Z98RMGT5RREVW94GVVA

Run Details

Duration:
1m 59s
Cost:
$0.026324
Provider:
Morph

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.9989% 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 smoothed the blueprint. "Alright, prime the glitter cannon near the piƱata. When the toddlers swarm it, we sweep." Bill adjusted his tiny top hat. "You know most security just watches screaming children chewing fruit snacks. We could walk through the front door." "And miss the thrill? Please. We go through the window." "In the rain? With plastic boots?" "Exactly. Nobody suspects mud-splattered intruders. Now, what about the present list?" "All of them. I want everything labeled with a name tag. Open now." "Professional. I will handle the board games. You grab the tricycles." "Tricycles are heavy. What about the plush sharks?" "Sharks are bulky. Stick to the building blocks. They are basically cash. You can pawn them for batteries and regret." "What if the birthday kid cries?" "We cry harder. It is an emotional whodunit. Does the frosting guard watch us?" "No, just a fondant dinosaur. We leave the dinosaur. Dexterity is overrated." "Fair. What is our exit strategy?" "We roll out in a cardboard box labeled surprise gift from aunt margaret. Nobody stops aunt margaret." "Brilliant. Do I wear the party hat?" "Always. It is excellent camouflage for a felon." Rain tapped against the glass. They synced their watches.
created_at"2026-04-27T09:10:39.664Z" 4/27/2026, 9:10:39 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency823
moderation_latency(null)
generation_time118769
tokens_prompt77
tokens_completion9013
native_tokens_prompt76
native_tokens_completion10951
native_tokens_completion_images(null)
native_tokens_reasoning8703
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"
usage0.0263242
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"26dcdf5d170843dbbfdb0d1ddb55b709"
is_byokfalse
latency633
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-1777281039-zMHih0xqguZwKUk9hHIq"
session_id(null)
api_type"completions"
id"gen-1777281039-d1fKxjjwW6bNHkohvCoe"
upstream_id"26dcdf5d170843dbbfdb0d1ddb55b709"
total_cost0.0263242
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
words201
100.00% Dialogue to Total Word Ratio
Ratio: 90.59%, Deviation: 0.59%
neededCleanfalse
wordsTotal202
wordsDialogue183
99.9989%