Run: 2026-09-03-01M1KBC15RPCN467MVZKATC4D0

Run Details

Duration:
4.8s
Cost:
$0.000132
Provider:
Baidu

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9595% 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 flattened the crumpled invitation against the minivan’s dash. “We hit at three-fifteen, right when they’re doing the piñata. Zero adult supervision.” Bill squinted through the windshield at the pastel bouncy castle. “Three-fifteen? That’s when the magician does the balloon animals. The parents watch that. It’s a crowd-pleaser.” “Which is why we go for the Gift Table. One swift yank of the tablecloth, presents slide right into the duffel, we’re gone before the first dad yells ‘Ta-da!’” She mimed the magician’s flourish. Bill chewed a carrot stick. “What about the birthday kid?” “What about him?” “He’s, like, five. He’s gonna cry.” “He’ll get new presents. Probably better ones. Have you seen the wrapping on this stuff? It’s all dinosaurs and unicorns. That’s mid-tier retail, Bill. We’re not hitting a Gucci store, we’re hitting a yard sale with frosting.” “Still feels low.” Molly grabbed his wrist. “Low is a basement full of stolen LEGO sets. Low is selling a princess castle back to the mom who bought it. We’re heroes, Bill. We’re teaching emotional resilience through material loss.” Bill sighed. “Fine. But I’m keeping the unicorn. That one’s for me.” “Deal. Now wipe that guilt off your face. We’ve got a party to crash.”
created_at"2026-09-03T09:59:59.943Z" 9/3/2026, 9:59:59 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency731
moderation_latency(null)
generation_time4596
tokens_prompt75
tokens_completion424
native_tokens_prompt146
native_tokens_completion399
native_tokens_completion_images(null)
native_tokens_reasoning70
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)
usage0.00013216
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788429599-BVrNY0XLJQlx1nTsFe8p"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788429599-LL9avcgWHXKcR3ecjwTq"
upstream_id"as-6nwiax06nz"
provider_responses
0
endpoint_id"4d5286fc-8f37-40c2-a518-e1ae100d45fc"
is_byokfalse
latency74
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Wafer"
status429
1
endpoint_id"223c54e7-4db1-4098-980f-47741e7637ab"
id"as-6nwiax06nz"
is_byokfalse
latency731
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Baidu"
status200
total_cost0.00013216
cache_discount(null)
upstream_inference_cost0
provider_name"Baidu"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words203
0.00% Dialogue to Total Word Ratio
Ratio: 83.01%, Deviation: 33.01%
neededCleanfalse
wordsTotal206
wordsDialogue171
49.9595%