Run: 2026-04-25-01KQ2G34SFA70W6Z4WJX0YJ8ZQ

Run Details

Duration:
15m 45s
Cost:
$0.111468
Provider:
Together

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
83.49% Dialogue to Total Word Ratio (details)
91.7457% 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 out the map. "Okay, Bill. The party is at noon. All presents on one table." "And we just grab them? With thirty kids watching?" Bill said. "We go as entertainers. I'll be a clown, you be a magician." "I can't do magic. And clown makeup makes me break out." "Then be a pirate. I'll be a fairy. We hand out candy, then grab the goods." "Pirate-fairy heist? That's new. But what about the parents? They'll notice." "We need a diversion. You start a treasure hunt. Kids love maps." "And you? You crawl to the table?" "No, I'll dance. A fairy dance. While they watch, you slip away." "Slip away with a giant bag of presents? Subtle as a sledgehammer." "We'll use a magic trick. A disappearing present trick. They'll applaud." "Until they see us running down the street. This is your worst plan yet." "Backup: hire a clown. He distracts, we steal." "With what money? The last clown stole our masks." "Fine. We walk in, say we're from charity, donate gifts." "Ridiculous. But what's the catch?" "No catch. We are the charity." "Let's try it. If we fail, ice cream's on you." "Deal! Let's steal some birthday joy."
created_at"2026-04-25T14:18:28.019Z" 4/25/2026, 2:18:28 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency391
moderation_latency(null)
generation_time944865
tokens_prompt77
tokens_completion19641
native_tokens_prompt146
native_tokens_completion25264
native_tokens_completion_images(null)
native_tokens_reasoning19347
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"
usage0.1114682
router(null)
provider_responses
0
endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
is_byokfalse
latency264
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status429
1
endpoint_id"13bda129-f8a6-4a60-b1db-98082e5f7ccd"
id"ogZbtzv-6z2FuN-9f1dfa26d04aad84"
is_byokfalse
latency391
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777126708-jN9s8xqmT6xYAG9QWVGj"
session_id(null)
api_type"completions"
id"gen-1777126708-STufJ5fTtZCo7up8tTBN"
upstream_id"ogZbtzv-6z2FuN-9f1dfa26d04aad84"
total_cost0.1114682
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
83.49% Dialogue to Total Word Ratio
Ratio: 96.52%, Deviation: 6.52%
neededCleanfalse
wordsTotal201
wordsDialogue194
91.7457%