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Run: 2026-05-31-01KSYX91F55TMNM064S93D5H2V
Run Details
Model:
Claude Opus 4.8 (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write unattributed dialogue
Duration:
8.9s
Cost:
$0.010785
Provider:
Anthropic
Evaluation summary
Score
Evaluator
Details Link
100.00%
Count dialogue tags
(details)
Model input
User/Human
You are an expert novel writer in the cozy mystery genre. Write a scene of about 200 words, with dialogue between two characters. The dialogue should be unattributed, meaning the speaker is not explicitly mentioned. The scene should be set in a small town bakery. Only return the story, nothing else.
Model response
Messages
Meta
AI
The bell above the door chimed as warm air rushed out, carrying the scent of cinnamon and burnt sugar. "You're here early. The croissants aren't even out yet." "I'm not here for croissants. I'm here about Margaret." A pause. The clatter of a tray being set down, perhaps a little too hard. "What about her?" "You know perfectly well what. She was in here yesterday afternoon. Three o'clock, maybe later. The last person to see her before she... before." "Lots of people come through these doors. I can't keep track of every customer." "You keep track of Margaret. You always did. The two of you, whispering by the window like schoolgirls." A long silence. Somewhere in the back, an oven timer began to ring, insistent and shrill, but neither moved toward it. "She ordered a lemon tart. Said it was for a celebration." "A celebration? Margaret hadn't celebrated anything in years." "That's what I told her. She just smiled and said things were finally about to change." "And did you ask what she meant?" "I didn't have to." The timer kept ringing. "I already knew. And so, I suspect, did whoever followed her out that door." "Then we'd better talk. Lock it, would you?"
created_at
"2026-05-31T11:39:00.465Z"
5/31/2026, 11:39:00 AM
model
"anthropic/claude-4.8-opus-20260528"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
1020
moderation_latency
(null)
generation_time
8903
tokens_prompt
81
tokens_completion
317
native_tokens_prompt
107
native_tokens_completion
410
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
0.010785
router
(null)
provider_responses
0
endpoint_id
"b0d3beaa-5ff7-4666-a749-b1bb2b14c916"
id
"msg_01DsCWaJH4ziJ3j7pZdYJQR9"
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-1780227540-Se3a7AHjLvUu5rBZISpl"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1780227540-9nb4tqe7tciWO9UcetpF"
upstream_id
"msg_01DsCWaJH4ziJ3j7pZdYJQR9"
total_cost
0.010785
cache_discount
(null)
upstream_inference_cost
0
provider_name
"Anthropic"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
100.00%
Count dialogue tags
n/a
neededClean
false
dialogueTags
(empty)