Run: 2026-05-29-01KSSJST3DMFPS9112EFK0PJBB

Run Details

Duration:
19.5s
Cost:
$0.012265
Provider:
Anthropic

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
50.0000% 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 blueprints across the table, knocking over a juice box. "Why do we have the floor plan for a Chuck E. Cheese?" Bill asked. "Because that's where the party is, genius. Little Timmy turns seven on Saturday." Bill scratched his head. "We're really doing this? Robbing a child?" "Not robbing a child. Liberating presents from a child," Molly corrected. "Big difference, ethically speaking." "Is it though?" She ignored him, tapping the map. "The pinata is here. The gift table is here. We strike during the cake." "What if there's security?" "It's a birthday party, Bill. The toughest guy there will be a clown." Bill shuddered. "I hate clowns." "Then wear a disguise. I'm thinking we go as the entertainment." "Balloon animals?" "Magicians," she said. "Misdirection is our specialty." Bill picked up a glittery party hat from the supply pile and frowned. "And the getaway?" "Minivan. Nobody suspects a minivan." "This is the dumbest plan you've ever had." "Dumber than the aquarium job?" He winced at the memory. "Nothing's dumber than the aquarium job." "Then we're improving." Molly grinned and slid him a hat. "Now put this on, and try to look festive." Bill sighed. "I really hate clowns."
created_at"2026-05-29T09:59:43.479Z" 5/29/2026, 9:59:43 AM
model"anthropic/claude-4.8-opus-20260528"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1046
moderation_latency(null)
generation_time9358
tokens_prompt77
tokens_completion335
native_tokens_prompt93
native_tokens_completion472
native_tokens_completion_images(null)
native_tokens_reasoning0
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"end_turn"
service_tier"default"
usage0.012265
router(null)
provider_responses
0
endpoint_id"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
is_byokfalse
latency10077
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status504
1
endpoint_id"dfc0e5bd-d703-4fe2-a7bb-655eb95d5441"
id"msg_01XBFyE5NEhbkD5yYeTQ3LHH"
is_byokfalse
latency1046
model_permaslug"anthropic/claude-4.8-opus-20260528"
provider_name"Anthropic"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer(null)
request_id"req-1780048783-j3o0Ju4rn2HEtEZJp60t"
session_id(null)
api_type"completions"
id"gen-1780048783-IGfK2IxYqrxk5V9MBJJT"
upstream_id"msg_01XBFyE5NEhbkD5yYeTQ3LHH"
total_cost0.012265
cache_discount(null)
upstream_inference_cost0
provider_name"Anthropic"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
0.00% Dialogue to Total Word Ratio
Ratio: 71.50%, Deviation: 21.50%
neededCleanfalse
wordsTotal200
wordsDialogue143
50.0000%