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Run: 2026-09-23-01M36R6VZEYA0616FMC799AHYJ
Run Details
Model:
GPT-6 Luna (Reasoning, High)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
25.2s
Cost:
$0.001275
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
0.00%
Dialogue to Total Word Ratio
(details)
49.9920%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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: The party starts at three, and every present goes into one pile. Bill: A mountain of opportunity. Molly: A mountain of tiny socks, dinosaurs, and consequences. Bill: We agreed: in, presents, out. Molly: We agreed that before I saw the banner saying, “For Leo, who beat cancer.” Bill: Oh. Molly: For Mia, who moved yesterday. Bill: The banner’s doing lot of security work. Molly: There’s a toddler guarding the gift table. Bill: How dangerous can a toddler be? Molly: He’s holding a spoon and making contact. Bill: We could wait until cake. Molly: Then what? Bill: Take the cake. Molly: Bill. Bill: We enter as entertainers, perform a magic trick, and vanish. Molly: You know no magic. Bill: I can make a wallet disappear. Molly: That is why we’re here. Bill: What if we leave something instead? Molly: Like what? Bill: Presents. I bought a puzzle. It has pieces. Molly: Generous, but suspicious. Bill: We could donate the loot anonymously. Molly: That’s still stealing, with paperwork. Bill: We cancel the heist? Molly: We bring Leo and Mia presents, eat cake, and let toddler interrogate you. Bill: Is the spoon negotiable? Molly: No. Bill: I’m bringing two presents.
created_at
"2026-09-23T09:05:38.298Z"
9/23/2026, 9:05:38 AM
model
"openai/gpt-6-luna-20260922"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
23353
moderation_latency
(null)
generation_time
25176
tokens_prompt
75
tokens_completion
322
native_tokens_prompt
66
native_tokens_completion
2536
native_tokens_completion_images
0
native_tokens_reasoning
2229
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
0.0012746
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1790154338-amgeoZ1tFwMtAf1HTsFr"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1790154338-AbR7cxASjIv53YhAFwXw"
upstream_id
"resp_0a146d972ec73a8c016ab39662752887d1ac206fd16fc74fa6"
provider_responses
0
endpoint_id
"05e94e02-b9c2-4bbb-ba55-4082ee9ad687"
id
"resp_0a146d972ec73a8c016ab39662752887d1ac206fd16fc74fa6"
is_byok
false
latency
495
model_permaslug
"openai/gpt-6-luna-20260922"
provider_name
"OpenAI"
status
200
total_cost
0.0012746
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
99.98%
Matches word count
n/a
neededClean
false
words
198
0.00%
Dialogue to Total Word Ratio
Ratio: 2.53%, Deviation: 87.47%
neededClean
false
wordsTotal
198
wordsDialogue
5
49.9920%