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Run: 2026-09-23-01M37PMMCYQP15GVZY7G1ZKZJS
Run Details
Model:
Claude Opus 5.5 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
18.2s
Cost:
$0.033100
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
99.91%
Dialogue to Total Word Ratio
(details)
99.9536%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 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 blueprints across the kitchen table. They were drawn in purple crayon. "Where did you get these?" Bill asked. "The birthday invitation. There's a map on the back so parents can find the bouncy castle." Bill squinted hard. "Is that a dragon?" "That's the garage." He nodded slowly, as if this made perfect sense, and adjusted his balaclava, which he had knitted himself and which was slightly too small. His ears poked out like pink handles. "So what's the plan?" "We go in disguised as clowns," Molly said. "Nobody questions a clown. Nobody even looks at a clown directly." "I don't know any tricks." "Fall over a lot. Children love that." Bill considered this. He fell over a lot anyway, mostly off fences, so it seemed within his skill set. "And the presents?" "Stacked by the cake table. Thirty minimum. We wait for the piƱata, then grab everything while they're distracted by sugar." "What if the kid sees us?" Molly lowered her voice dramatically. "Timmy is seven. He has a lisp and a whistle. We can take him." Outside, a small boy in a superhero cape pressed his face against the window, took careful notes, and blew his whistle.
created_at
"2026-09-23T17:57:26.575Z"
9/23/2026, 5:57:26 PM
model
"anthropic/claude-opus-5.5-20260921"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
6413
moderation_latency
(null)
generation_time
18198
tokens_prompt
75
tokens_completion
549
native_tokens_prompt
95
native_tokens_completion
1636
native_tokens_completion_images
(null)
native_tokens_reasoning
1210
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
0.0331
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790186246-g81AW4hFhiHHtchMQ2VI"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790186246-RypjgZYRAIWI4SZ0iECD"
upstream_id
"msg_011CfLoaCDuDTjWYKFCCygHq"
provider_responses
0
endpoint_id
"3a2388bc-3740-4e64-a1f5-4e301726b6b9"
id
"msg_011CfLoaCDuDTjWYKFCCygHq"
is_byok
false
latency
2297
model_permaslug
"anthropic/claude-opus-5.5-20260921"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.0331
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
100.00%
Matches word count
n/a
neededClean
false
words
201
99.91%
Dialogue to Total Word Ratio
Ratio: 51.74%, Deviation: 1.74%
neededClean
false
wordsTotal
201
wordsDialogue
104
99.9536%