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Run: 2026-07-09-01KX3ZZQ1YWFVRM44BQ9BMBM03
Run Details
Model:
GPT-5.6 Terra (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
13.1s
Cost:
$0.022545
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
66.12%
Dialogue to Total Word Ratio
(details)
83.0529%
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, remind me why we’re robbing a children’s party?” “Because adults hide jewelry in safes, Bill. Children leave treasure under a balloon arch.” “Treasure meaning plastic dinosaurs and socks with astronauts?” “Also cash from aunties who forgot how birthdays work.” “What’s our entry?” “Side gate at three. I bribed the clown.” “You bribed a clown?” “I offered him three hundred dollars.” “Did he take it?” “He asked for four hundred.” “Professional.” “Exactly. You climb the fence, disable the bouncy castle, and open the patio door.” “Why disable the bouncy castle?” “Because it’s an inflatable surveillance tower of witnesses.” “I hate witnesses.” “I respect their knees. They’re closer to weapons.” “What about the parents?” “Distract them with the magician’s grand finale.” “You hired the magician too?” “No. I replaced his rabbit with a smoke bomb.” “Is the rabbit okay?” “It’s in a taxi to Newark.” “Why Newark?” Bill checked the bag. “We have gift bags, a crowbar, and eighteen whistles.” “The whistles are for confusion.” “They’re children, Molly.” “Never underestimate organized confusion.” “What do we do with the presents afterward?” “Sort them. Keep electronics, fence bicycles, donate toys.” “And the socks?” “We wear them during the getaway.” “Matching?” “We’re taking the dinosaur ones.”
created_at
"2026-07-09T17:49:38.247Z"
7/9/2026, 5:49:38 PM
model
"openai/gpt-5.6-terra-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
12538
moderation_latency
(null)
generation_time
12865
tokens_prompt
77
tokens_completion
407
native_tokens_prompt
66
native_tokens_completion
1492
native_tokens_completion_images
0
native_tokens_reasoning
1199
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
0.022545
router
(null)
provider_responses
0
endpoint_id
"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id
"resp_0e8eaacf9a09ab03016a4fdf32518c8197ab43478329386cfc"
is_byok
false
latency
219
model_permaslug
"openai/gpt-5.6-terra-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-1783619378-BwIUDUpNNTwK4eRP0fQ6"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783619378-5yABpe0Wle76vCCcsC7S"
upstream_id
"resp_0e8eaacf9a09ab03016a4fdf32518c8197ab43478329386cfc"
total_cost
0.022545
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
99.98%
Matches word count
n/a
neededClean
false
words
202
66.12%
Dialogue to Total Word Ratio
Ratio: 98.02%, Deviation: 8.02%
neededClean
false
wordsTotal
202
wordsDialogue
198
83.0529%