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Run: 2026-05-31-01KSYXH84ZWFACQFN68FPAMS9Y
Run Details
Model:
Claude Opus 4.8 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
8.5s
Cost:
$0.012815
Provider:
Anthropic
Evaluation summary
Score
Evaluator
Details Link
98.71%
Matches word count
(details)
99.34%
Dialogue to Total Word Ratio
(details)
99.0241%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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
"So we're really doing this?" Bill asked. "We're really doing this," Molly said. "Robbing a six-year-old." "Robbing a *birthday party*. There's a difference." "What's the difference?" "Volume," Molly said. "One kid, sure, that's sad. But thirty kids? Each bringing a wrapped gift? That's inventory." "And the cake?" "We're not stealing the cake, Bill." "I might steal a slice." "That's not professional." "Neither is robbing a clown." "There's a clown?" "There's always a clown," Bill said. "Name's Giggles. He's connected." "Connected to what?" "Other clowns. It's a whole network." "You're afraid of a clown." "I'm cautious around a clown." "Okay," Molly sighed. "Here's the plan. You go in dressed as a magician—" "Why do I have to be the magician?" "Because magicians carry big empty bags, Bill. It's the perfect cover." "Then what?" "You do a few tricks, distract the parents, and I sweep the gift table." "What if they want a real magic show?" "Then pull a rabbit out of a hat." "I don't have a rabbit." "Pull out *something*." "I'll pull out a present," Bill said. "Then I'll make it disappear." Molly smiled. "Now *that's* professional." "What about Giggles?" "We'll deal with Giggles."
created_at
"2026-05-31T11:43:29.458Z"
5/31/2026, 11:43:29 AM
model
"anthropic/claude-4.8-opus-20260528"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1023
moderation_latency
(null)
generation_time
8493
tokens_prompt
77
tokens_completion
350
native_tokens_prompt
93
native_tokens_completion
494
native_tokens_completion_images
(null)
native_tokens_reasoning
0
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
0.012815
router
(null)
provider_responses
0
endpoint_id
"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id
"msg_01A2KW4agmw4dpcHMLkYZxJY"
is_byok
false
latency
1020
model_permaslug
"anthropic/claude-4.8-opus-20260528"
provider_name
"Anthropic"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.16.0; linux; x64))"
http_referer
(null)
request_id
"req-1780227809-Yo7nOSUEV7lMt7qMMrNl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1780227809-HHf6AsJzDMNLsjFPkIRe"
upstream_id
"msg_01A2KW4agmw4dpcHMLkYZxJY"
total_cost
0.012815
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Anthropic"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
98.71%
Matches word count
n/a
neededClean
false
words
194
99.34%
Dialogue to Total Word Ratio
Ratio: 92.86%, Deviation: 2.86%
neededClean
false
wordsTotal
196
wordsDialogue
182
99.0241%