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Run: 2026-09-23-01M36P2YYS5DTDD7F19K3HF0AQ
Run Details
Model:
GPT-6 Luna (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
28.2s
Cost:
$0.001156
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
100.00%
Matches word count
(details)
100.00%
Dialogue to Total Word Ratio
(details)
100.0000%
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
Outside the community hall, Molly studied balloons through rain-speckled glass. “The presents are stacked beneath the banner, Bill. Behold indeed.” Bill clutched an empty sack, rehearsing his expression of innocence. “I brought disguises: one pirate hat and two suspicious mustaches.” Inside, children shrieked happily, while a clown juggled oranges awkwardly. “Your mustache is upside down, and the children noticed already.” Molly adjusted her velvet mask; it was actually a napkin. “They think I'm a caterpillar, which improves our getaway considerably.” They slipped through the open doorway, invited by nobody whatsoever. “We take every present, then vanish before the cake arrives.” A toddler immediately crowned Bill with a paper party hat. “What if one contains socks? I refuse to risk that.” Molly inspected gift mountain, suddenly looking less like treasure somehow. “A noble concern, but our criminal reputation demands festive commitment.” A drawing showed two masked figures rescuing presents from villains. “Wait, that little girl gave me her drawing of us.” The villains wore familiar mustaches, and one resembled Bill uncannily. “We're wearing crowns, Bill. Apparently we're the party's heroes today.” The cake timer chimed, summoning everyone toward the frosting table. “Then let's return the presents and steal just one cupcake.”
created_at
"2026-09-23T08:28:33.121Z"
9/23/2026, 8:28:33 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
6922
moderation_latency
(null)
generation_time
28204
tokens_prompt
75
tokens_completion
1141
native_tokens_prompt
66
native_tokens_completion
2299
native_tokens_completion_images
0
native_tokens_reasoning
2022
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
"completed"
service_tier
"default"
usage
0.0011561
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.20.0; linux; x64))"
http_referer
(null)
request_id
"req-1790152113-sUafI2tu9HXPD1j2pfK5"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790152113-67rrMZwDetx1C9ZTLSoG"
upstream_id
"resp_0e4c0ff74e8358ed016ab38db13cd087d19451ce22fa7a3069"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0e4c0ff74e8358ed016ab38db13cd087d19451ce22fa7a3069"
is_byok
false
latency
1335
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0011561
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
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
200
100.00%
Dialogue to Total Word Ratio
Ratio: 49.75%, Deviation: 0.25%
neededClean
false
wordsTotal
201
wordsDialogue
100
100.0000%