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Run: 2026-10-09-01M4FYYJRPMK2MH5ZCQRYMST0B
Run Details
Model:
Claude Haiku 5.5 (Reasoning, Low)
Test:
Dialogue tags
Scenario:
Write 500 words with 70% dialogue
Duration:
6.0s
Cost:
$0.000395
Provider:
Claude Platform on AWS
Evaluation summary
Score
Evaluator
Details Link
0.00%
Matches word count
(details)
84.02%
Dialogue to Total Word Ratio
(details)
42.0084%
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 leaned over the cardboard map spread across the kitchen table, tapping a red X with her pen. "The party's at number twelve, Maple Crescent. Third house on the left, past the rubbish bins." Bill squinted at the blueprint he'd sketched on the back of a pizza menu. "How do we get in? I'm not climbing that trellis again. Last time I ended up wearing somebody's wind chime." "Front door. The mum's got a clipboard and a whistle. Hates clowns." Molly slid a crumpled clown wig across the table. "You're the clown." "Absolutely not." "You're the clown, Bill. Nobody suspects a clown. Parents see a clown and they assume you're the entertainment." Bill picked up the wig and held it at arm's length like a dead fish. "And what are you?" "The uncle who's late." She adjusted a fake moustache. "Very stressed. Keeps asking where the bouncy castle is." "That's quite good, actually." "I know it's good. Now, the presents. They're stacked in the conservatory, behind the piƱata. Forty-two gifts, I counted through the window." "Forty-two? Who needs forty-two presents at seven years old?" "Rich people, Bill. Rich people with guilt." Molly grinned. "Right, the plan. You keep the kids busy with balloon animals. I'll slip into the conservatory and fill the sack." "What sack?" "The big one. Under the table." She nudged a bin bag with her foot. "Don't look at me like that. It's a very reliable sack." Bill frowned at the map. "What if a kid catches me? They always catch you. Kids are like tiny security guards with sticky hands." "Then you give them a balloon dog and tell them the presents are being taken to the zoo for the ponies." "There are no ponies." "There are always ponies, Bill. Children believe in ponies." He sighed, pulling the wig on over his bald patch. It sat crooked. "Fine. But if I end up on a birthday cake again, you're paying for the dry cleaning." "Deal. Now stop fidgeting and practise your honking laugh." Bill cleared his throat and let out a horrible honk. Molly winced. "Perfect. Terrifying. Let's go steal some Lego."
created_at
"2026-10-09T09:12:18.46Z"
10/9/2026, 9:12:18 AM
model
"anthropic/claude-haiku-5.5-20261007"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
643
moderation_latency
(null)
generation_time
5946
tokens_prompt
75
tokens_completion
527
native_tokens_prompt
95
native_tokens_completion
771
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
0.000395
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791537138-MOgeKIn7k6GgvCPmnf8h"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791537138-caL1dX0Ezz8mY23pqglz"
upstream_id
"msg_011CfrQUFFEkwoDeGXCeScRD"
provider_responses
0
endpoint_id
"b6cdf493-3a61-441f-a134-e7944fddb980"
id
"msg_011CfrQUFFEkwoDeGXCeScRD"
is_byok
false
latency
642
model_permaslug
"anthropic/claude-haiku-5.5-20261007"
provider_name
"Claude Platform on AWS"
status
200
total_cost
0.000395
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
0.00%
Matches word count
n/a
neededClean
false
words
356
84.02%
Dialogue to Total Word Ratio
Ratio: 71.87%, Deviation: 1.87%
neededClean
false
wordsTotal
359
wordsDialogue
258
42.0084%