Run: 2026-07-09-01KX40MYBS2NM0XWTV5KP91P3F

Run Details

Duration:
15.6s
Cost:
$0.029775
Provider:
OpenAI

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
68.3935% 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

AI
“Bill, stop rattling the catalogue. You sound like Santa having a nervous breakdown.” “I am nervous, Molly. Children have sticky hands and surprising aim.” “They’re six, not snipers.” “Last year, one hit me with a sausage roll from twelve feet away.” “That was because you shouted, ‘Nobody move, this piñata is evidence.’” “It was a reasonable misunderstanding.” “Tonight, we enter during the magician’s rabbit routine, sweep the presents into the laundry hamper, and leave through the garden gate.” “The hamper has unicorns on it.” “Excellent camouflage. Adults never suspect unicorns.” “What about the dog?” “Bribe it with these mini sausages.” “You bought cocktail sausages?” “I bought insurance with toothpicks.” “And the parents?” “Distract them by praising their patio furniture. Homeowners become helpless when complimented on decking.” “Suppose the birthday girl recognizes us?” “We wear these masks.” “Those are princess masks.” “Exactly. Criminality loves a tiara.” “I feel ridiculous.” “Bill, you once burgled a bank dressed as a chimney sweep.” “That was disguise.” “You had no chimney brush.” “I had conviction.” “Fine. We take presents, not cake.” “Why not cake?” “Because cake crumbs identify suspects.” “Then why are you carrying a fork?” “For morale.” “Your morale has frosting.” “Operational frosting.”
created_at"2026-07-09T18:01:13.86Z" 7/9/2026, 6:01:13 PM
model"openai/gpt-5.6-terra-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency14151
moderation_latency(null)
generation_time15014
tokens_prompt77
tokens_completion433
native_tokens_prompt66
native_tokens_completion1974
native_tokens_completion_images0
native_tokens_reasoning1683
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"completed"
service_tier"default"
usage0.029775
router(null)
provider_responses
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endpoint_id"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
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is_byokfalse
latency243
model_permaslug"openai/gpt-5.6-terra-20260709"
provider_name"OpenAI"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1783620073-l5BdDebY4tL0zznLLX3n"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1783620073-uLJesmZPFboTAJRPp0Xa"
upstream_id"resp_0df425ec4c791c9b016a4fe1e9f1808197b266626bde91476d"
total_cost0.029775
cache_discount(null)
upstream_inference_cost0
provider_name"OpenAI"
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data_region"global"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words199
36.79% Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal199
wordsDialogue199
68.3935%