Run: 2026-10-20-01M5C6C4Z2W6KMYMMGJB247CQX

Run Details

Duration:
21.2s
Cost:
$0.001297
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 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 spread the party map across the hood of the van, tapping a red crayon circle. Bill adjusted his clown wig and checked the elastic. The house glowed with streamers, tiny chairs, and the muffled shrieks of twenty sugar-fueled six-year-olds. Their plan was simple: slip through the side gate disguised as entertainment, distract the parents with a magic trick, and sweep every wrapped present into the empty piƱata box. Bill worried the balloons squeaked too loudly. Molly assured him the chaos would cover it. They reviewed exits, gift-table angles, and the danger of party favors. A dog barked next door. Bill froze. Molly rolled her eyes and folded the map. The birthday boy had a notorious attachment to his plastic dinosaur, but Molly insisted the real loot was in the mountain of gifts by the bouncy castle. Bill practiced a squeaky voice and a dramatic cape flourish while Molly hid zip ties in her sleeve. They agreed to avoid the face-painting station, the toddler with a juice box, and any parent holding a camera. Plus one suspicious aunt nearby too. "Molly, the clown suit chafes." "Stop whining and inflate the balloon animal." "Remember, presents first, cake second." "And no honking."
created_at"2026-10-20T08:20:47.21Z" 10/20/2026, 8:20:47 AM
model"deepseek/deepseek-v4.1-flash-20261017"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency392
moderation_latency(null)
generation_time21161
tokens_prompt75
tokens_completion2467
native_tokens_prompt93
native_tokens_completion2564
native_tokens_completion_images(null)
native_tokens_reasoning2263
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)
usage0.00129688
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1792484447-kOjyz3s8QD1KLcMCrLCF"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1792484447-h82yFsTUMYbQOab8COUo"
upstream_id"chatcmpl-0a206ccd836643279c1b46e08e42f949"
provider_responses
0
endpoint_id"66d4851d-7738-4948-9d40-2ab6dc54f895"
id"chatcmpl-0a206ccd836643279c1b46e08e42f949"
is_byokfalse
latency392
model_permaslug"deepseek/deepseek-v4.1-flash-20261017"
provider_name"Wafer"
status200
total_cost0.00129688
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: 9.76%, Deviation: 0.24%
neededCleanfalse
wordsTotal205
wordsDialogue20
100.0000%