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Run: 2026-03-06-01KK1GTGX2ED2C698T12Z09VQQ
Run Details
Model:
GPT-5.4 (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 10% dialogue
Duration:
9.3s
Cost:
$0.004590
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
14.30%
Matches word count
(details)
75.03%
Dialogue to Total Word Ratio
(details)
44.6639%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 and Bill crouched behind the municipal rhododendrons, studying the bungalow blazing with balloons, bunting, and the kind of forced cheer that usually preceded sugar riots. Through the patio doors they could see a clown assembling animals that looked emotionally exhausted, while a pack of six-year-olds ricocheted around the garden in paper crowns and weaponized face paint. Bill unfolded a hand-drawn map that looked as though it had been sneezed onto. He traced a trembling finger toward the conservatory, where a mountain of presents sat beneath a banner reading HAPPY 7TH BIRTHDAY OLIVER, as if advertising the loot to passing professionals. “Cake first, gifts after,” Molly whispered. “Stay focused,” Bill muttered. A magician in a mauve waistcoat wandered past the window, carrying a rabbit with the resigned expression of a tax clerk. Molly adjusted her black gloves, which she felt gave her authority despite being decorated with tiny reflective stars. It was difficult to look menacing while crouched beside a plastic tricycle. The plan, insofar as Bill ever produced plans rather than anxieties with arrows, was simple: enter during the jelly chaos, cross behind the hired princess, sack the presents, and vanish before the parents finished applauding a child for hitting a piñata like a dockworker on shore leave. Molly grinned. Children’s parties were, after all, organized confusion with loot bags.
created_at
"2026-03-06T12:09:12.362Z"
3/6/2026, 12:09:12 PM
model
"openai/gpt-5.4-20260305"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
535
moderation_latency
(null)
generation_time
9247
tokens_prompt
77
tokens_completion
370
native_tokens_prompt
66
native_tokens_completion
295
native_tokens_completion_images
0
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)
origin
"https://ncbench.com/"
is_byok
false
finish_reason
"stop"
native_finish_reason
"completed"
usage
0.00459
router
(null)
provider_responses
0
endpoint_id
"9ff5625c-403f-4d7f-b895-58ac7295062c"
id
"resp_0ade5fec1f7e528b0169aac3e86ca081938e8b60502e602df7"
is_byok
false
latency
154
model_permaslug
"openai/gpt-5.4-20260305"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer
(null)
api_type
"completions"
id
"gen-1772798952-rj2A6kurCIM7ZfrnjoOH"
upstream_id
"resp_0ade5fec1f7e528b0169aac3e86ca081938e8b60502e602df7"
total_cost
0.00459
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
Evaluation details
Result
Evaluator
Details
Meta Data
14.30%
Matches word count
n/a
neededClean
false
words
221
75.03%
Dialogue to Total Word Ratio
Ratio: 2.68%, Deviation: 7.32%
neededClean
false
wordsTotal
224
wordsDialogue
6
44.6639%