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Run: 2026-10-27-01M5YGTDKDBCJN8RANREAKPRY5
Run Details
Model:
GPT-6.1 Terra (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
17.3s
Cost:
$0.007581
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 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 spread the party invitation across the table. Bill examined it, wearing the expression of a man studying military plans. “The presents arrive at noon. We strike during cake cutting.” “Excellent. Everyone knows children respect silence while cake is served.” “Sarcasm noted. You’ll distract them dressed as a friendly clown.” “I tried that once. The children formed a terrifying union.” “Then be a magician. Pull rabbits from your enormous sleeves.” “My sleeves are normal. My rabbits are simply very small.” “While you perform, I’ll empty the gift table into bags.” “All the presents? Even the one wrapped in dinosaur paper?” “Especially that one. Dinosaur paper suggests expensive dinosaurs hiding inside.” “What about the birthday child? Won’t they notice their absence?” “We’ll leave an apology and a coupon for future presents.” “That’s cruel. Coupons always expire before anyone remembers using them.” “Fine. We’ll replace everything with identical boxes full of confetti.” “That’s worse. You’ve met children, Molly. They have excellent memories.” “All right, Bill. We steal the presents, then return them.” “Why would we do that? We’re thieves, not postal workers.” “Because my mother is catering, and she knows our faces.” “Oh. In that case, we should steal her glasses first.”
created_at
"2026-10-27T11:09:40.344Z"
10/27/2026, 11:09:40 AM
model
"openai/gpt-6.1-terra-20261026"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
3794
moderation_latency
(null)
generation_time
17310
tokens_prompt
75
tokens_completion
750
native_tokens_prompt
66
native_tokens_completion
1503
native_tokens_completion_images
0
native_tokens_reasoning
1232
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
0.007581
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.22.1; linux; x64))"
http_referer
(null)
request_id
"req-1793099380-JpZxR5iovYNgiJZoACSL"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1793099380-Cwij2MXJPU2EJnXeX2Ek"
upstream_id
"resp_0f14684c80ab1e3e016ae086746bf887d1b2c899c7ec1fe68b"
provider_responses
0
endpoint_id
"2d2ad10f-098e-4bbf-aa95-11f705b2b9a2"
id
"resp_0f14684c80ab1e3e016ae086746bf887d1b2c899c7ec1fe68b"
is_byok
false
latency
284
model_permaslug
"openai/gpt-6.1-terra-20261026"
provider_name
"OpenAI"
status
200
total_cost
0.007581
cache_discount
(null)
upstream_inference_cost
0
provider_name
"OpenAI"
response_cache_source_id
(null)
data_region
"global"
workspace_id
"97e315e5-d303-487d-83c1-83180e8a13d4"
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: 90.00%, Deviation: 0.00%
neededClean
false
wordsTotal
200
wordsDialogue
180
100.0000%