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Run: 2026-04-24-01KQ08E5N261ZJFMQSV4GB56SR
Run Details
Model:
MoonshotAI: Kimi K2.6
Test:
Dialogue tags
Scenario:
Write 500 words with 30% dialogue
Duration:
11m 45s
Cost:
$0.070102
Provider:
SiliconFlow
Evaluation summary
Score
Evaluator
Details Link
99.98%
Matches word count
(details)
99.45%
Dialogue to Total Word Ratio
(details)
99.7161%
Overall
Model input
User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 30% 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 crayon-drawn map across the hood of their rust-eaten van, squinting at what appeared to be a dinosaur wearing a tutu. Bill leaned over her shoulder, the stench of cheap coffee and regret wafting from his stained trench coat. He traced a sticky finger along the route they had marked in glitter glue, pausing at what looked like a violent orange splotch. "That's the bouncy castle?" Bill asked, poking the crudely rendered blob. "It's the table," Molly said. "Castle's here." "Why's it sticky?" "Children's party, Bill. Everything's sticky. That's the point." Bill straightened, adjusting his ski goggles even though they were parked three blocks from the Peterson residence. He had spent the morning practicing his sneer in the rearview mirror, but the effect was ruined by the neon green party hat he refused to remove. It said Birthday Princess in curlicue script. He still wore the matching tutu under his coat. Molly checked her watch. The invitation said cake at three, which meant piñata at two-forty-five, which meant thirty-seven sugar-crazed seven-year-olds would swarm the backyard while the presents sat unguarded on the dining room table. She had lifted the invitation from a grocery store bulletin board three days ago. The RSVP was a leap of faith, but the gift registry had been a goldmine of intel. "We go in during the magician," Molly said. "He does the rabbit thing, kids scream, we grab Legos and run." "What if someone sees us?" "Matching leotards. We blend with the entertainment." "You said we'd be caterers." "I lied. We're clowns. You're Binky. There's a difference." Bill's face fell further than it already had, drooping like a soufflé in a thunderstorm. He sighed, a long deflating sound that whistled through the van's cracked window. Outside, a suburban street stretched ahead, peaceful and oblivious. Somewhere in the distance, an ice cream truck played a distorted version of "Pop Goes the Weasel." It felt like an omen, or possibly a warning. Molly packed the map, a coil of rope, and three garbage bags into a glittery backpack she had stolen from a department store specifically for this occasion. The bag sparkled menacingly in the afternoon sun, throwing prisms against the windshield. She added two cans of silly string because no self-respecting clown traveled without proper equipment. "How much?" "Fifteen presents, average value forty bucks, plus whatever's in the goodie bags. Maybe some gift cards. We fence the toys, keep the candy, simple." "Last time you said simple, I wore a lobster costume." "You pulled it off." "Couldn't sit down for a week." "Then improvise." Bill hesitated, his gloved hand hovering over the door handle. "Molly?" "Yeah?" "If we get caught stealing from children..." "We won't." "But if we do?" Molly grinned, adjusting her propeller so it spun wildly in the stale air conditioning. "Then we tell them we're just taking back what's owed in unpaid clown invoices. Nobody argues with a clown, Bill. It's the perfect cover." She kicked open the door. The heist was on.
created_at
"2026-04-24T17:30:11.706Z"
4/24/2026, 5:30:11 PM
model
"moonshotai/kimi-k2.6-20260420"
app_id
182717
external_user
(null)
streamed
true
cancelled
false
latency
951
moderation_latency
(null)
generation_time
464975
tokens_prompt
77
tokens_completion
15682
native_tokens_prompt
69
native_tokens_completion
17509
native_tokens_completion_images
(null)
native_tokens_reasoning
16812
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
"stop"
usage
0.07010155
router
(null)
provider_responses
0
endpoint_id
"6ebc1d51-2760-4277-8c1e-c8ce9e01c18e"
id
"019dc08ac292c6de7b9fd73f296051f2"
is_byok
false
latency
930
model_permaslug
"moonshotai/kimi-k2.6-20260420"
provider_name
"SiliconFlow"
status
200
user_agent
"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer
(null)
request_id
"req-1777051811-lgb13NnTxyDTU70hPYid"
session_id
(null)
api_type
"completions"
id
"gen-1777051811-hS6AC0UAJnLI4sz2v6D4"
upstream_id
"019dc08ac292c6de7b9fd73f296051f2"
total_cost
0.07010155
cache_discount
(null)
upstream_inference_cost
0
provider_name
"SiliconFlow"
response_cache_source_id
(null)
Evaluation details
Result
Evaluator
Details
Meta Data
99.98%
Matches word count
n/a
neededClean
false
words
502
99.45%
Dialogue to Total Word Ratio
Ratio: 30.33%, Deviation: 0.33%
neededClean
false
wordsTotal
511
wordsDialogue
155
99.7161%