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Run: 2026-07-09-01KX413Y52P75082MZB9RYJWQ6
Run Details
Model:
GPT-5.6 Sol (Reasoning)
Test:
Dialogue tags
Scenario:
Write 500 words with 50% dialogue
Duration:
1m
Cost:
$0.162090
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 500 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 spread a crayon map across the cafe table while Bill hid behind a menu already decorated with smiling pancakes and several incriminating jam fingerprints. “The target is a birthday party at Number Eight. Twenty children, three clowns, one magician, and approximately forty beautifully wrapped opportunities.” “Are bicycles opportunities?” “Obviously.” Bill lowered the menu and studied the map, which depicted the house as a purple castle surrounded by dragons, balloons, and suspiciously cheerful rabbits nearby. “Those rabbits are bushes. Also, stealing from children feels complicated.” “You stole my pudding yesterday.” “That was taxation with spoon enforcement.” “And sprinkles.” “Administrative fees.” Molly produced two invitations, a coil of rope, and a papier mache horse head. Bill regarded the collection with the expression of a disappointed librarian. “We enter as entertainers. I’ll be Magnifica the Astonishing. You’ll be my glamorous assistant.” “Why the horse?” “Professional mystery, plus insurance.” “Against what?” “Questions, mostly.” Outside, rain polished the pavement until every streetlamp shimmered. Inside, the waitress silently replaced their sugar bowl with one containing fewer stolen teaspoons than before. “Once inside, we locate the gift table, then trigger a distraction.” “Fire alarm?” “Too obvious.” “Stampeding pony?” “Too available, and difficult to invoice.” “Naturally enough.” Bill glanced at the horse head. Rain crawled down the window behind it, lending its papier mache nostrils a surprisingly ominous and deeply judgmental gleam. “Balloon animals. I’ll twist one into a giraffe so terrible everyone screams.” “At last, a realistic component.” “Can you twist balloons?” “Emotionally, yes.” “Practically?” “No.” Their coffee arrived. Molly drank hers black. Bill added cream, sugar, cinnamon, and enough chocolate powder to conceal a getaway vehicle completely beneath the foam. “We grab the presents, load them into sacks, and leave through the kitchen.” “What if someone notices?” “Smile.” “Cruelly?” “Warmly, but with unsettling eyebrows.” “Excellent.” She demonstrated. The smile was bright, confident, and terrifying, like a shark applying for management. Bill spilled cinnamon across his trousers and surrendered without negotiation. “Perhaps we could steal the expensive presents and leave the books.” “Never. Books deserve adventure.” “So do bicycles, especially red racing bicycles.” “Noted, suspiciously.” “Thanks.” Molly rolled up the map and accidentally trapped three crayons inside. The resulting tube rattled like a tiny skeleton demanding cake and better working conditions. “Exit vehicle?” “Ice cream van.” “Do you own one?” “No, but an ice cream man owes me sprinkles.” “Enough sprinkles?” “Bill, debts are about leverage.” Bill considered this debt structure while thunder muttered above the cafe. Across the room, a toddler dropped his biscuit, then stared at them with suspicion. “I think that toddler knows.” “Impossible. He cannot even tie shoes.” “Neither can you.” “Laces are government traps, Bill.” “Velcro?” “Private enterprise.” “Buttons?” “Tiny tyrants.” At six precisely, they reached Number Eight wearing capes sewn from curtains. Music boomed, accompanied by shrieks and the unmistakable honk of chaos from inside. “Remember: confidence.” “Remember: prison.” “Astonish first, regret later.” “And if they recognize us?” “Blame the horse.” “For everything?” “Especially the giraffe. Now ring that bell.”
created_at
"2026-07-09T18:09:25.16Z"
7/9/2026, 6:09:25 PM
model
"openai/gpt-5.6-sol-20260709"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
4616
moderation_latency
(null)
generation_time
60200
tokens_prompt
77
tokens_completion
1294
native_tokens_prompt
66
native_tokens_completion
5392
native_tokens_completion_images
0
native_tokens_reasoning
4660
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
0.16209
router
(null)
provider_responses
0
endpoint_id
"a54c5de0-89bf-4ad7-a212-cf977eed918a"
id
"resp_09e2502663cc636f016a4fe3d53d1c8196b8ef2ee20a9121fd"
is_byok
false
latency
250
model_permaslug
"openai/gpt-5.6-sol-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-1783620565-wh6rnlREOOBPSdMKzKic"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1783620565-klItOlhxS01Tp3BJgiiS"
upstream_id
"resp_09e2502663cc636f016a4fe3d53d1c8196b8ef2ee20a9121fd"
total_cost
0.16209
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
500
100.00%
Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededClean
false
wordsTotal
500
wordsDialogue
250
100.0000%