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Run: 2026-09-23-01M37P9H80WJA162XZEAZJABAZ
Run Details
Model:
Claude Opus 5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
27.1s
Cost:
$0.044820
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
99.92%
Matches word count
(details)
3.15%
Dialogue to Total Word Ratio
(details)
51.5336%
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 unrolled the blueprint across Bill's kitchen table, pinning the corners with a mug, a stapler, and a half-eaten sausage roll. "This," she said, "is the Pemberton residence. Saturday, two o'clock. Little Oliver turns seven." Bill squinted at it. "That's a crayon drawing of a house." "It's the best I could get. The planning office was closed, so I asked a kid at the bus stop." "There's a dragon on the roof." "He said it's accurate." Bill leaned back, and the chair creaked in protest. In twenty-two years of thieving, nobody had ever asked him to rob a birthday party, and he wasn't sure whether to feel insulted or relieved. Relieved, probably. Banks had guards. Birthday parties had, at worst, an uncle with a camcorder. "Walk me through it," he said. Molly produced a laser pointer, which was unnecessary because the table was two feet wide, and aimed it at a purple scribble. "Gift table. Back garden, next to the bouncy castle. Intel says forty presents minimum. Oliver's mum is very popular at Pilates." "And how do we get in?" "We're the entertainment." She dropped a bag in front of him. A red nose rolled out and bounced twice. Bill stared at it. "No." "You'll be Bongo the Clown." "Molly, I have a record. I have a reputation. Men in three counties fear me." "Men in three counties have never seen you juggle. Which is good, because you can't." He picked up the nose between two fingers as though it might be evidence. "And what are you going to be?" "A fairy princess. Glitter, wings, the lot. I distract the parents with face painting while you lead the kids in musical statues. When the music stops, everyone freezes, and you load the presents into the balloon van." "We have a balloon van?" "We have a van. I'm going to tape balloons to it." Outside, a dog barked. Bill considered the peculiar route his life had taken to arrive at this kitchen, this crayon map, this nose. "What if the kids notice?" "They're seven. They'll be full of sugar and fizzy pop. You could steal the house and they'd only notice if the bouncy castle went with it." "And the parents?" "Adults at children's parties see nothing. They stand in a circle holding warm prosecco, praying for five o'clock. It's the most unguarded environment in Britain." Bill had to admit there was a certain criminal elegance to it. He rolled the nose between his palms, weighing it like a diamond. "One problem," he said. "What's actually in the presents? Could be forty packets of felt tips." Molly smiled slowly, the smile she normally saved for vaults. "Oliver's grandfather owns a toy company. Limited edition robots. Collectors pay thousands." Bill sighed, and then he put the nose on. It squeaked. "Fine," he said. "But I'm not making balloon animals." "You're making balloon animals." "I'm making one balloon animal." "You're making a giraffe, Bill, and you're going to like it."
created_at
"2026-09-23T17:51:22.898Z"
9/23/2026, 5:51:22 PM
model
"anthropic/claude-opus-5.5-20260921"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4648
moderation_latency
(null)
generation_time
27040
tokens_prompt
75
tokens_completion
1039
native_tokens_prompt
95
native_tokens_completion
2222
native_tokens_completion_images
(null)
native_tokens_reasoning
1175
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
0.04482
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790185882-P04JRnUCm8juh1wQ1oI9"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790185882-zH9KMd0hrUz32NboqlwC"
upstream_id
"msg_011CfLo7PczyX8okZWhW19WN"
provider_responses
0
endpoint_id
"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id
"msg_011CfLo7PczyX8okZWhW19WN"
is_byok
false
latency
1304
model_permaslug
"anthropic/claude-opus-5.5-20260921"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.04482
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
99.92%
Matches word count
n/a
neededClean
false
words
497
3.15%
Dialogue to Total Word Ratio
Ratio: 58.32%, Deviation: 8.32%
neededClean
false
wordsTotal
499
wordsDialogue
291
51.5336%