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Run: 2026-07-09-01KX412MRV2ZQ9V9PKDMQGCMHD
Run Details
Model:
GPT-5.6 Luna (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
14.0s
Cost:
$0.010998
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
Rain ticked against the bakery window while Molly and Bill crouched behind a stack of inflatable dinosaurs. The party glittered inside, guarded by a snoring magician and one alert grandmother. Molly unfolded a map drawn on a napkin, accidentally revealing a shopping list for twelve doughnuts. Bill tested the lockpick, which was actually a candy cane. Somewhere, a birthday song collapsed into enthusiastic screaming. They exchanged solemn nods. Their getaway vehicle, a borrowed pram, waited beside the alley, loaded with blankets and emergency pudding. Bill wore a fake moustache that kept sliding sideways. Molly sighed, then pointed toward the presents. “The cupcake gate opens after eleven, when parents become sleepy.” “I’ll distract the clown; you grab presents, especially enormous ones.” “What if children catch us hiding beneath the gift table?” “Then pretend we’re entertainment, and demand applause before escaping dramatically.” “Brilliant, except your last performance involved a fire extinguisher accident.” “That was rehearsal; tonight, I’m stealing only toys and dignity.” “I packed disguises: two balloons, a tutu, and suspicious eyebrows.” “The eyebrows are convincing, but the tutu screams financial desperation.” “Perfect; nobody suspects a desperate ballerina carrying forty teddy bears.” “Afterward, we split everything, including the batteries and moral consequences.”
created_at
"2026-07-09T18:08:42.79Z"
7/9/2026, 6:08:42 PM
model
"openai/gpt-5.6-luna-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
2142
moderation_latency
(null)
generation_time
13689
tokens_prompt
77
tokens_completion
1191
native_tokens_prompt
66
native_tokens_completion
1822
native_tokens_completion_images
0
native_tokens_reasoning
1552
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
0.010998
router
(null)
provider_responses
0
endpoint_id
"eebea444-34a5-4642-a766-cb319471d33a"
id
"resp_0e2edc3f3c0d66a0016a4fe3aae04c8193bcfa68a91b45294f"
is_byok
false
latency
290
model_permaslug
"openai/gpt-5.6-luna-20260709"
provider_name
"OpenAI"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer
(null)
request_id
"req-1783620522-Na6iSNsOlngTGoaFfWQB"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620522-nyRu96pEC14tGjUqWwIm"
upstream_id
"resp_0e2edc3f3c0d66a0016a4fe3aae04c8193bcfa68a91b45294f"
total_cost
0.010998
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
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%