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Run: 2026-09-23-01M37PXHN5HNXAWC2ZJS2A09PB
Run Details
Model:
Claude Opus 5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
19.5s
Cost:
$0.023240
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
99.38%
Matches word count
(details)
47.17%
Dialogue to Total Word Ratio
(details)
73.2725%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 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 spread the blueprint across the hood of the stolen ice cream van and pinned one corner down with a half-eaten corn dog. Bill squinted at it for a long time. "This is a drawing of a bouncy castle," he said. "It's a floor plan of a bouncy castle," Molly corrected. "Big difference. Floor plans are professional." Bill turned his head sideways, as if that might reveal hidden depths in the crayon. The sun was setting over the cul-de-sac, painting the tidy lawns orange, and somewhere behind a white picket fence, a banner fluttered in the breeze: HAPPY 7TH BIRTHDAY TOBY. "Walk me through it again," Bill said. "Fourteen kids. Two parents. One clown named Mr. Giggles, who I've already bribed with a pack of cigarettes and a vague promise." Molly tapped the drawing. "The presents are stacked on a table beside the castle. We go in disguised as the entertainment, wait for the cake, and when everyone's distracted singing, we grab the loot and run." "What are we disguised as?" Molly reached into the van and pulled out a pair of costumes. One was a purple dinosaur. The other was a slightly smaller purple dinosaur. Bill stared at them. "Molly, I did eight years in Blackgate. I once cracked a vault using nothing but a paperclip and a strong sense of self-worth." "And now you'll crack it as Dino-Dave. Your backstory's on an index card in the tail." Bill took the costume and held it at arm's length, the way one might hold a live eel. The foam head gazed up at him with enormous, trusting eyes. He sighed the sigh of a man whose career had gone badly wrong somewhere around age thirty. "What's the haul, anyway? Worth it?" "Worth it?" Molly pulled out a crumpled list. "I intercepted the RSVPs. We're looking at three remote-control helicopters, a limited edition Lego pirate ship, and somebody's grandmother is giving that kid a savings bond." "A savings bond?" Bill gasped. "That's basically a bearer instrument." "Exactly. Plus, there's a goody bag for every guest." "We're not taking the goody bags." "We are absolutely taking the goody bags, Bill. Nobody leaves a birthday party empty-handed. That's just manners." Across the street, the front door opened. A small boy in a paper crown sprinted onto the lawn, screaming at a pitch that sent a nearby cat straight up a tree. Four more children followed, then six, then what appeared to be a flood of sugar-fueled chaos in miniature sneakers. Bill's face went pale beneath the streetlight. "There's more than fourteen," he whispered. "Stay calm." "One of them has a water gun, Molly." "They can smell fear, so don't give them any." A tiny girl stopped on the sidewalk, pointed directly at the van, and shrieked, "DINOSAURS!" Every child froze. Then, slowly, like a pack of wolves spotting a limping deer, they turned. Molly zipped up her costume with grim determination. "Change of plan," she said. "We run."
created_at
"2026-09-23T18:02:18.678Z"
9/23/2026, 6:02:18 PM
model
"anthropic/claude-opus-5.5-20260921"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4013
moderation_latency
(null)
generation_time
19416
tokens_prompt
75
tokens_completion
760
native_tokens_prompt
95
native_tokens_completion
1143
native_tokens_completion_images
(null)
native_tokens_reasoning
56
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
0.02324
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790186538-dOdNGQzJeTGeYW6SOM4d"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790186538-eLnNjg9s1ShmLP4EowdE"
upstream_id
"msg_011CfLowjA5x3U6rYyQea6Ct"
provider_responses
0
endpoint_id
"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id
"msg_011CfLowjA5x3U6rYyQea6Ct"
is_byok
false
latency
1164
model_permaslug
"anthropic/claude-opus-5.5-20260921"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.02324
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
99.38%
Matches word count
n/a
neededClean
false
words
495
47.17%
Dialogue to Total Word Ratio
Ratio: 46.12%, Deviation: 3.88%
neededClean
false
wordsTotal
503
wordsDialogue
232
73.2725%