Run: 2026-04-27-01KQ730KD5PZQW1Z44PE1BDRZZ

Run Details

Duration:
2m 23s
Cost:
$0.030812
Provider:
Morph

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
99.84% Dialogue to Total Word Ratio (details)
99.9201% 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
Molly adjusted her goggles and surveyed the lawn where thirty children chased a piƱata. The target was straightforward yet taxing. They intended to steal every present under the table while parents filmed cakes. Bill adjusted his mustache and checked blueprints. The security consisted of three dogs and a grandmother wielding a pin. Molly pointed at the glass door which remained unlocked out of sheer optimism. They would slip inside during the hitting ceremony. "Grab presents when everyone screams loudly." said Bill. "I will run fast and avoid spills." replied Molly. "Go very soon." The patrol arrived exactly on schedule. Molly signaled for movement and they crouched behind a hedge. Bill tightened his grip on canvas sacks prepared for stuffed animals. The sun painted shadows across the bushes where confetti waited like stars. Lights blinked overhead constantly. They watched the gate swing open slowly while music volume increased dramatically outside. Perfect preparation yields results. The operation required timing and terrible choices. They planned to extract the loot before the candles were lit while everyone sang loudly and clapped their small hands together rhythmically near the front yard steps. The neighborhood remains quiet until the fireworks begin their chaotic display. Very soon.
created_at"2026-04-27T09:06:05.355Z" 4/27/2026, 9:06:05 AM
model"qwen/qwen3.6-27b-20260422"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency886
moderation_latency(null)
generation_time143131
tokens_prompt77
tokens_completion10375
native_tokens_prompt76
native_tokens_completion12821
native_tokens_completion_images(null)
native_tokens_reasoning10047
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"
usage0.0308122
router(null)
provider_responses
0
endpoint_id"826cab4e-dc26-4472-83be-e4ddd5ebd2ab"
id"c09d93cd623049b8bca06b50b9e8f0e9"
is_byokfalse
latency808
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-1777280765-qE7A21SEpW7l2FcdZAfF"
session_id(null)
api_type"completions"
id"gen-1777280765-rbv3Y7TssrfBIzPYIkDy"
upstream_id"c09d93cd623049b8bca06b50b9e8f0e9"
total_cost0.0308122
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
99.84% Dialogue to Total Word Ratio
Ratio: 8.00%, Deviation: 2.00%
neededCleanfalse
wordsTotal200
wordsDialogue16
99.9201%