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Run: 2026-07-25-01KYCQW0BDV2NAMSZR5XZFMH37
Run Details
Model:
Claude Opus 5 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
21.5s
Cost:
$0.030315
Provider:
Amazon Bedrock
Evaluation summary
Score
Evaluator
Details Link
9.61%
Matches word count
(details)
29.33%
Dialogue to Total Word Ratio
(details)
19.4715%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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 van and smoothed it flat with the side of her fist. "That's a placemat," Bill said. "It's a schematic." "It's a placemat from the Olive Garden. There's a breadstick on it." "That breadstick," Molly said, "is the bouncy castle. Now focus. The party starts at two. Cake at two-thirty. Presents get piled on the folding table here—" she tapped a marinara stain, "—by the fence, unguarded, because every adult in that yard will be watching a magician named Mister Wobbles pull a rabbit out of a hat." "I don't love that we're stealing from a nine-year-old." "We're stealing from *thirty* nine-year-olds. It's diversified." Bill chewed his thumbnail. "What's the birthday kid's name?" "Don't do that." "What's his name, Molly." "Tyler." "Oh, God." "Don't you dare humanize Tyler." "He probably asked for one thing," Bill said. "One specific thing, and he's been thinking about it since October, and we're going to take it in a duffel bag." Molly pinched the bridge of her nose. "Last week you cried during a car commercial." "It was a good commercial. The dog waited by the window." "Bill. We have eleven dollars and a van that only turns left. Tyler's father is a *dentist*. That table is going to have four hundred dollars of Lego on it, minimum, plus gift cards, plus at least one envelope of cash from a grandmother who doesn't know what kids like anymore." Bill perked up slightly. "How much cash?" "Grandmother cash. Forty, fifty, could be a hundred if she's competitive with the other grandmother." "There's always a second grandmother," Bill admitted. "There's always a second grandmother." Molly reached into the van and pulled out a bulging garbage bag. "Now. Costumes." "What is that." "You're a clown." "I'm not being a clown." "You're a clown named Sergeant Giggles and you are going to walk through that gate, wave at the parents, and start twisting balloons into shapes while I go over the fence and load the presents into the wheelbarrow." "We have a wheelbarrow?" "We have a wheelbarrow because you stole a wheelbarrow last April instead of a television." "That was a good wheelbarrow." Bill held up the clown suit. It was orange, damp, and had a suspicious brown handprint on the hip. "I can't twist balloons, Molly. I don't know any shapes." "Do a snake." "A snake is just the balloon." "Then do a *long* snake, Bill, they're *nine*." She checked her watch. "Ninety seconds after Mister Wobbles says 'abracadabra,' every phone in that yard goes up in the air and we've got a clean window. You keep the kids on you. I take the table. We meet at the corner by the hydrant." Bill stepped into the clown suit, one leg, then the other. "And if somebody sees you?" "Then you scream, and you scream like a man who has genuinely lost a balloon animal, and everybody looks at you instead." "That I can do," Bill said quietly. "That I'm good at." Molly folded the placemat and slid it into her jacket. "Sergeant Giggles." "Don't." "Let's go make a memory."
created_at
"2026-07-25T13:36:39.797Z"
7/25/2026, 1:36:39 PM
model
"anthropic/claude-opus-5-20260723"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2967
moderation_latency
(null)
generation_time
21360
tokens_prompt
75
tokens_completion
833
native_tokens_prompt
93
native_tokens_completion
1194
native_tokens_completion_images
(null)
native_tokens_reasoning
52
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
0.030315
router
(null)
provider_responses
0
endpoint_id
"76cb4608-f48c-483d-8da8-9957fb44244e"
id
"msg_011CdNs9s94RNgynHkMkDFWL"
is_byok
false
latency
1273
model_permaslug
"anthropic/claude-opus-5-20260723"
provider_name
"Amazon Bedrock"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1784986599-wqO93YCBnOS1gpPyRgxR"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1784986599-QbAJVHwUc5bSPiK7TsQy"
upstream_id
"msg_011CdNs9s94RNgynHkMkDFWL"
total_cost
0.030315
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Amazon Bedrock"
response_cache_source_id
(null)
data_region
"global"
Evaluation details
Result
Evaluator
Details
Meta Data
9.61%
Matches word count
n/a
neededClean
false
words
522
29.33%
Dialogue to Total Word Ratio
Ratio: 74.95%, Deviation: 4.95%
neededClean
false
wordsTotal
527
wordsDialogue
395
19.4715%