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Run: 2026-10-05-01M46BCRVE9B23MQR1N584B59A
Run Details
Model:
GPT-6.1 Sol (Reasoning, Medium)
Test:
Tool usage within Novelcrafter
Scenario:
Create alternate prose sections
Duration:
25.7s
Cost:
$0.006724
Provider:
OpenAI
Evaluation summary
Score
Evaluator
Details Link
Pass
Match blue prose section
(details)
Pass
Match green prose section
(details)
Pass
Match red prose section
(details)
no eval
Overall
Model input
System
You are an expert fantasy novel author. You are working on a novel called "The Chronicles of the Last Dragon". The following tools are available to you: - <nc-section> Use this tool to create a new section of prose. Arguments: - "data-title": The title of the section. - "data-color": Any color of (red, green, blue, yellow, purple, orange, pink, brown). Example usage: <nc-section data-title="Chapter 1: The Arrival" data-color="blue"> Frederick, a young squire, arrives at the castle to begin his training. </nc-section>
User/Human
The story so far: <storySoFar> Frederick, a young squire, arrives at the castle to begin his training. </storySoFar>
AI
My horse, a majestic stallion named Thunder, galloped across the open field. The wind whipped through my hair as I rode towards the castle gates. The sun was setting, casting a warm glow over the stone walls. I could see the banners of the kingdom fluttering in the breeze.
User/Human
Continue the story with the following instructions: """The local knight, Sir Roland, greets Frederick near the stables.""" Create 3 alternate prose sections that continue the story. - Version 1 (red) - Version 2 (green) - Version 3 (blue)
Model response
Messages
Meta
AI
<nc-section data-title="Version 1" data-color="red"> I drew Thunder to a halt near the stables, where a broad-shouldered knight stood with a bucket in one hand. His cloak was patched at the hem, but the sword at his hip gleamed. “Frederick?” he called. I dismounted hastily and nearly caught my foot in the stirrup. “Yes, sir.” “Sir Roland.” He set down the bucket and took Thunder’s reins. “You’ve come a long way. See to your horse before you worry about impressing me.” My cheeks warmed. “Of course, sir.” He glanced at Thunder’s lathered neck, then back at me. “There’s a brush inside. And Frederick?” I paused beneath the stable door. “Welcome to the castle.” After a day spent imagining all the ways I might disgrace myself, those few words steadied me more than I expected. </nc-section> <nc-section data-title="Version 2" data-color="green"> By the time I reached the stables, Thunder had slowed to a tired walk. A knight leaning against the door straightened at our approach. “You must be Frederick,” he said. “I’m Sir Roland. We expected you before sunset.” “I’m sorry, sir. The road through the forest—” “Has a fork with no signpost. Yes. Half our visitors arrive by way of the mill.” He smiled and reached for Thunder’s bridle. “The other half won’t admit it.” I laughed despite myself. As I swung down from the saddle, something struck the floor inside the stables: a heavy scrape, followed by a low, unfamiliar rumble. Thunder pulled back, ears flattened. Sir Roland’s smile vanished. “Take him to the empty stall on the left,” he said quietly. “And whatever you hear tonight, don’t open the door at the far end.” </nc-section> <nc-section data-title="Version 3" data-color="blue"> A man in a battered breastplate waited near the stables, watching me ride through the gathering dusk. I recognized the silver oak pinned to his cloak from my father’s description. “Sir Roland?” I asked as I dismounted. “That depends. Are you the squire they’ve sent me, or another messenger asking for men I haven’t got?” “Frederick, sir. Your new squire.” He studied me, then held out his hand. I shook it, surprised by the courtesy. “Your father wrote that you’re good with horses.” “Better with horses than swords, sir.” “An honest answer. Keep that habit.” He helped me loosen Thunder’s saddle straps. Up close, I saw three deep grooves across his breastplate. They were too wide for any blade I knew. Sir Roland caught me looking. “You’ll have questions,” he said. “First, feed your horse. Then we’ll find you supper.” </nc-section>
created_at
"2026-10-05T15:37:22.039Z"
10/5/2026, 3:37:22 PM
model
"openai/gpt-6.1-sol-20260929"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
9967
moderation_latency
(null)
generation_time
25682
tokens_prompt
303
tokens_completion
702
native_tokens_prompt
302
native_tokens_completion
612
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
0.006724
router
(null)
user_agent
"langchainjs-openai/1.0.0 ((node/v24.21.0; linux; x64))"
http_referer
(null)
request_id
"req-1791214642-VrLJZj9Jy0G5LylN2Uyg"
session_id
(null)
preset_id
(null)
api_type
"completions"
id
"gen-1791214642-U6djWQKrzC6kpAToI0xp"
upstream_id
"resp_0fb192ce871092dd016ac3c4322c6887d18d98ef7a25e0d6f5"
provider_responses
0
endpoint_id
"dfb9d5c3-63f9-4263-8b78-4fa97dcb3d5e"
id
"resp_0fb192ce871092dd016ac3c4322c6887d18d98ef7a25e0d6f5"
is_byok
false
latency
355
model_permaslug
"openai/gpt-6.1-sol-20260929"
provider_name
"OpenAI"
status
200
total_cost
0.006724
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
Pass
Match blue prose section
/<nc-section data-title="[^"]*" data-color="blue">[^<]+<\/nc-section>/
n/a
Pass
Match green prose section
/<nc-section data-title="[^"]*" data-color="green">[^<]+<\/nc-section>/
n/a
Pass
Match red prose section
/<nc-section data-title="[^"]*" data-color="red">[^<]+<\/nc-section>/
n/a
no eval