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Run: 2026-07-09-01KX40V7C0TSRZE558W80Y99C5
Run Details
Model:
GPT-5.6 Terra
Test:
Dialogue tags
Scenario:
Write 200 words with 50% dialogue
Duration:
5.3s
Cost:
$0.005400
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
0.08%
Matches word count
(details)
51.10%
Dialogue to Total Word Ratio
(details)
25.5942%
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 crouched behind the hedge, studying balloons bobbing over the garden fence. A pirate banner sagged above a table stacked with wrapped presents. “Tell me again why we’re robbing children,” Bill whispered. “Because adults buy terrible gifts,” Molly said. “Children get robots, ponies, and things that make noises when you squeeze them.” “We could steal from a jeweller.” “Jewellers have alarms. Six-year-olds have juice boxes.” Bill adjusted his black knit cap. “I feel this cap makes me look suspicious.” “You’re holding a crowbar shaped like a dinosaur.” “It’s thematic.” From inside came shrieking, then a chorus of “Happy birthday!” “Phase one,” Molly said, “we blend in.” “I’m forty-two.” “Then be somebody’s uncle.” “I don’t know any child names.” “Use safe ones. Oliver. Sophie. Kevin.” “Kevin is a child name?” “It was in 1987.” Bill peered through the gate. “There’s a clown.” “Excellent. Everyone blames clowns.” “I blame clowns already.” Molly opened her bag, revealing party hats, a plastic eye patch, and a card reading FOR A VERY SPECIAL BOY. “What’s the boy called?” Bill asked. Molly froze. Bill sighed. “Professional.” “We improvise,” she said. “You distract them.” “With what?” “Magic.” “I can’t do magic.” “You made three sausages disappear last night.” “That was dinner.” They slipped through the gate. A small girl pointed at Bill. “Who are you?” she demanded. Bill bowed. “Kevin.” Molly grabbed his sleeve. “Run, Kevin.”
created_at
"2026-07-09T18:04:39.689Z"
7/9/2026, 6:04:39 PM
model
"openai/gpt-5.6-terra-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
599
moderation_latency
(null)
generation_time
5172
tokens_prompt
77
tokens_completion
473
native_tokens_prompt
66
native_tokens_completion
349
native_tokens_completion_images
0
native_tokens_reasoning
0
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
0.0054
router
(null)
provider_responses
0
endpoint_id
"3cc89000-ae34-4dde-9c7d-5ce009c8af0b"
id
"resp_07c445bee0b41c60016a4fe2b7c6948193abb608a21783f877"
is_byok
false
latency
284
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-1783620279-8ncxFgQNuaPI1LfQi6Je"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620279-5fZiX2Qtln9Q4HNPwv0W"
upstream_id
"resp_07c445bee0b41c60016a4fe2b7c6948193abb608a21783f877"
total_cost
0.0054
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
0.08%
Matches word count
n/a
neededClean
false
words
229
51.10%
Dialogue to Total Word Ratio
Ratio: 59.05%, Deviation: 9.05%
neededClean
false
wordsTotal
232
wordsDialogue
137
25.5942%