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Run: 2026-07-09-01KX40MYBS2NM0XWTV5KP91P3F
Run Details
Model:
GPT-5.6 Terra (Reasoning)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
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
Messages
Meta
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_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
14151
moderation_latency
(null)
generation_time
15014
tokens_prompt
77
tokens_completion
433
native_tokens_prompt
66
native_tokens_completion
1974
native_tokens_completion_images
0
native_tokens_reasoning
1683
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
0.029775
router
(null)
provider_responses
0
endpoint_id
"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id
"resp_0df425ec4c791c9b016a4fe1e9f1808197b266626bde91476d"
is_byok
false
latency
243
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-1783620073-l5BdDebY4tL0zznLLX3n"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620073-uLJesmZPFboTAJRPp0Xa"
upstream_id
"resp_0df425ec4c791c9b016a4fe1e9f1808197b266626bde91476d"
total_cost
0.029775
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
199
36.79%
Dialogue to Total Word Ratio
Ratio: 100.00%, Deviation: 10.00%
neededClean
false
wordsTotal
199
wordsDialogue
199
68.3935%