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Run: 2026-07-09-01KX40D7WDG5D196DWCYJ03D5N
Run Details
Model:
GPT-5.6 Luna (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
24.2s
Cost:
$0.025878
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
Molly and Bill crouched behind the bakery, studying rainbow balloons outside the community hall. A cardboard reindeer guarded entrance like a festive bouncer. “Bill, remember the rule: we enter quietly, grab presents, and leave before anyone notices our stylish criminal excellence without anybody crying into the frosting afterward.” Bill adjusted his penguin mask, purchased for a school play, smelling faintly of glue, sardines, and regret after several damp winters and rain. “Quietly?” Bill whispered. “You brought a glitter cannon, three whoopee cushions, and a trained goose named Professor Honk for reasons you still refuse to explain to me.” Molly patted the cannon lovingly. Inside, the stolen party map shared space with licorice, lock picks, and an emergency cucumber wrapped in newspaper. “The goose is our distraction. When children chase him, we’ll slip inside and liberate every beautifully wrapped treasure before cake-related witnesses arrive screaming nearby outside,” Molly said. From inside came music, laughter, and the unmistakable thump of a child discovering party games involved rules. The goose honked judgmentally disapprovingly nearby. “Ready? On three: one, two—” Bill asked. “Wait. Why is the cardboard reindeer wearing my coat and my hat too, while guarding all those presents tonight, obviously?” Molly hissed.
created_at
"2026-07-09T17:57:01.462Z"
7/9/2026, 5:57:01 PM
model
"openai/gpt-5.6-luna-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3879
moderation_latency
(null)
generation_time
23920
tokens_prompt
77
tokens_completion
708
native_tokens_prompt
66
native_tokens_completion
4302
native_tokens_completion_images
0
native_tokens_reasoning
4022
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
0.025878
router
(null)
provider_responses
0
endpoint_id
"eebea444-34a5-4642-a766-cb319471d33a"
id
"resp_0af04690cdcf0500016a4fe0ed8aa4819593d131123844cd91"
is_byok
false
latency
233
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-1783619821-loSeufj1jyIScLUwhw0Q"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783619821-uEOjCJJRGFL97lENWDo8"
upstream_id
"resp_0af04690cdcf0500016a4fe0ed8aa4819593d131123844cd91"
total_cost
0.025878
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: 50.25%, Deviation: 0.25%
neededClean
false
wordsTotal
201
wordsDialogue
101
100.0000%