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Run: 2026-09-23-01M36REBBB4Q3566H9Z406RCXR
Run Details
Model:
GPT-6 Luna (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
32.6s
Cost:
$0.001810
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
At midnight, Molly spread a map across the kitchen table. Bill wore a tuxedo; their target was a children’s party. A dinosaur guarded their sketch, roaring whenever the refrigerator hummed. The presents sat inside, according to Molly’s highly unreliable intelligence. Outside, party balloons bobbed like suspicious, brightly colored surveillance equipment. Molly’s plan involved disguises, timing, and absolutely no parental questions. Bill’s disguise was a magician’s cape borrowed from his aunt. He practiced looking mysterious, but mostly looked like a curtain. Their getaway vehicle waited outside, a tricycle with squeaky wheel. Molly: “We enter quietly, collect every present, and vanish before cake.” Bill: “What if someone asks why we’re carrying twelve wrapped bicycles?” Molly: “We’ll say it’s a very ambitious recycling program for children.” Bill: “That explanation seems suspiciously less convincing than simply attending normally.” Molly: “No, Bill, invitations are traps disguised as rectangles of paper.” Bill: “I brought a gift bag in case guilt becomes heavy.” Molly: “If caught, pretend you’re the clown; clowns escape blame remarkably.” Bill: “I can juggle, but only when objects are not moving.” Molly: “Then juggle the presents directly into our conveniently spacious tricycle.” Bill: “Or we could leave them and steal leftover cake instead.”
created_at
"2026-09-23T09:09:43.415Z"
9/23/2026, 9:09:43 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
14980
moderation_latency
(null)
generation_time
32374
tokens_prompt
75
tokens_completion
727
native_tokens_prompt
66
native_tokens_completion
3607
native_tokens_completion_images
0
native_tokens_reasoning
3320
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
0.0018101
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790154583-ZzFesVWlf8aQbPUCnUzg"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790154583-DESbidsW0Gf1XKcpaJbd"
upstream_id
"resp_0b05a3b5ebf7a172016ab39757c3f487d193808993178c2412"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0b05a3b5ebf7a172016ab39757c3f487d193808993178c2412"
is_byok
false
latency
820
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0018101
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: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
100
100.0000%