Run: 2026-10-20-01M5C6FYJTR71DQ8DZDVWXSVVB

Run Details

Duration:
44.1s
Cost:
$0.002789
Provider:
Wafer

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 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
Molly spread the crayon-smeared invitation across the van’s dashboard and tapped the bouncy castle room. “Party starts at two. Presents pile up beside the cake.” Bill adjusted a tiny party hat and checked his pockets for balloons and lock picks. “I’ll go in as a clown. You distract the parents.” “They’ll spot you,” Molly said. “You look like a tax auditor who lost a bet.” “Exactly. That’s why I’m carrying balloons. Balloons fix everything.” Molly sighed and drew a tiny map on a napkin. “We’re stealing from toddlers. There are ethical lines.” “There are also three Lego sets and a scooter with ribbons.” Outside, a magician rehearsed card tricks beside a table stacked with wrapped boxes. In the van, Molly secured a roll of tape and an empty present sack. “Fine. But no child cries.” Bill raised his hand solemnly. “I promise to only make parents cry.” Bill practiced an innocent whistle. “Good. I’ll take the gifts to the van. You handle the magician.” Molly underlined the escape route twice. “Handle him how?” “Tell him his rabbit is double-booked.” “Brilliant. Then we vanish before cake.” The van’s engine coughed once, then settled into a suspicious hum. They exchanged a nod.
created_at"2026-10-20T08:22:51.745Z" 10/20/2026, 8:22:51 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency377
moderation_latency(null)
generation_time44060
tokens_prompt75
tokens_completion4957
native_tokens_prompt93
native_tokens_completion5548
native_tokens_completion_images(null)
native_tokens_reasoning5251
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"
service_tier(null)
usage0.00278888
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484571-oHEqyq3Z1n7uDk5SiRO1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484571-mfCsYNwml2wiLOkYsmE0"
upstream_id"chatcmpl-695b3eccaba648e2a44f16bd978a2bce"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-695b3eccaba648e2a44f16bd978a2bce"
is_byokfalse
latency377
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00278888
cache_discount(null)
upstream_inference_cost0
provider_name"Wafer"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal202
wordsDialogue101
100.0000%