Run: 2026-09-29-01M3P2K1SSNB2F1MNXA8883WKR

Run Details

Duration:
23.8s
Cost:
$0.034560
Provider:
Claude Platform on AWS

Evaluation summary

Score Evaluator
Details Link
99.74% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
99.8705% 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 adjusted her binoculars and peered through the hedge at the bouncy castle, where thirty screaming children ricocheted like popcorn. Bill crouched beside her, wearing a balaclava and a paper party hat. "Why the hat?" Molly whispered. "Camouflage," Bill said. "Nobody suspects a man in a party hat." "Everyone suspects a man in a balaclava and a party hat." "Details, Molly. Focus. Where are the presents?" Molly swept the binoculars toward the gazebo, where forty-two gift boxes sat guarded by a sweating clown and a grandmother gripping a cake knife. "Clowns are unpredictable," Bill muttered. "Then you distract the children while I swipe the loot." "Distract them how?" "You're wearing a party hat. Just be fun." Bill stared at her for a long moment. "I haven't been fun since 1998." "Then try magic." "I know one trick. I make my dignity disappear." Molly lowered the binoculars and sighed heavily. "Fine. You take the grandmother. I'll take the clown." "She has a knife, Molly!" "It's for cake." "Even worse," Bill whispered, adjusting his hat bravely. Across the lawn, the clown honked his nose, and both thieves flinched. "Abort?" Bill squeaked. "Never," said Molly. "Presents first, then cake."
created_at"2026-09-29T07:55:39.711Z" 9/29/2026, 7:55:39 AM
model"anthropic/claude-sonnet-5.5-20260928"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency3483
moderation_latency(null)
generation_time23805
tokens_prompt75
tokens_completion927
native_tokens_prompt95
native_tokens_completion3437
native_tokens_completion_images(null)
native_tokens_reasoning2950
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"
usage0.03456
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer(null)
request_id"req-1790668539-dD1vQE6ypDUr42I6STJh"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1790668539-2RtDTsiab3a3D3WChOkS"
upstream_id"msg_011CfXNY6XgCBp38AFo4eeva"
provider_responses
0
endpoint_id"99aaad94-923b-4fc1-b763-271ed5486f7a"
id"msg_011CfXNY6XgCBp38AFo4eeva"
is_byokfalse
latency759
model_permaslug"anthropic/claude-sonnet-5.5-20260928"
provider_name"Claude Platform on AWS"
status200
total_cost0.03456
cache_discount(null)
upstream_inference_cost0
provider_name"Claude Platform on AWS"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.74% Matches word count n/a
neededCleanfalse
words196
100.00% Dialogue to Total Word Ratio
Ratio: 49.24%, Deviation: 0.76%
neededCleanfalse
wordsTotal197
wordsDialogue97
99.8705%