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Run: 2026-09-23-01M37PG8PABNGSXJV27A9E4571
Run Details
Model:
Claude Opus 5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
25.2s
Cost:
$0.042160
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
90.48%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
95.2416%
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
Messages
Meta
AI
Molly unrolled the blueprint across the hood of the getaway van, weighing its corners down with two stolen party hats. It was drawn in purple crayon. "Where did you get this?" she asked. "Tyler's cousin. Cost me three gummy worms and a sticker." Bill tapped a lopsided rectangle labeled BOUNSY CASTL. His fake clown nose honked softly. "Presents are on the table by the cake," Molly said. "We strike during Pass the Parcel." "Why then?" "Nobody watches anything during Pass the Parcel. Parents film, kids scream. Total chaos." Bill nodded gravely. "My role?" "You're Bongo the Clown. Make balloon animals until I signal." "I can only make swords." "Then make swords. Kids love swords." "What's the signal?" "I'll yell, 'Happy birthday, Tyler!'" "Everyone yells that." Molly frowned at the crayon map. Somewhere down the street, a car alarm chirped. "Fine. I'll sneeze twice." Bill adjusted his rainbow wig, which slid sideways over one eye. He pushed it back with the quiet dignity of a man who had once robbed a moving train. "And if we're caught?" "We run. Toddlers can't catch us." "Tyler's turning nine. Some of them are enormous." Molly stared at him for a long moment, then unwrapped a jumbo lollipop from her pocket. "Then we run faster."
created_at
"2026-09-23T17:55:03.514Z"
9/23/2026, 5:55:03 PM
model
"anthropic/claude-opus-5.5-20260921"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
6282
moderation_latency
(null)
generation_time
25143
tokens_prompt
75
tokens_completion
538
native_tokens_prompt
95
native_tokens_completion
2089
native_tokens_completion_images
(null)
native_tokens_reasoning
1575
native_tokens_cached
0
num_media_prompt
(null)
num_input_audio_prompt
(null)
num_media_completion
0
num_search_results
(null)
num_fetches
(null)
web_search_engine
(null)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"end_turn"
service_tier
"default"
usage
0.04216
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790186103-YCSD9RYBKYdTHicDLzKl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790186103-YIgNxKHytIXndA8lKKhM"
upstream_id
"msg_011CfLoPeYPFqLq7NcQrnggw"
provider_responses
0
endpoint_id
"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id
"msg_011CfLoPeYPFqLq7NcQrnggw"
is_byok
false
latency
1945
model_permaslug
"anthropic/claude-opus-5.5-20260921"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.04216
cache_discount
(null)
upstream_inference_cost
0
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
90.48%
Matches word count
n/a
neededClean
false
words
210
100.00%
Dialogue to Total Word Ratio
Ratio: 49.52%, Deviation: 0.48%
neededClean
false
wordsTotal
210
wordsDialogue
104
95.2416%