Run: 2026-04-25-01KQ2EJD6YCT7F1J95GCV42ABV

Run Details

Duration:
14m 38s
Cost:
$0.125293
Provider:
Together

Evaluation summary

Score Evaluator
Details Link
9.61% Matches word count (details)
62.26% Dialogue to Total Word Ratio (details)
35.9349% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 500 word scene that has 70% 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

AI
Molly and Bill sat in their beat-up sedan, engine off, across from the park, watching the chaos of a children's party. Bright balloons dotted the air, and a bouncy castle loomed in the center. Molly tapped her fingers on the dashboard, her brow furrowed. "Look at that mess," she said. "How do we even get close? There's kids everywhere." Bill grinned, adjusting his rearview mirror. "Relax, Molly. I have a plan. We use the pony." "A pony?" Molly turned to face him. "Bill, we've been over this. Where are we going to get a pony?" "The petting zoo next door. It's perfect. We just hop the fence, grab a pony, and bring it here. Kids love ponies. They'll flock to it, and we snatch the presents." "That's insane. A pony isn't a bicycle. You can't just borrow one. And what if it makes noise?" "Ponies don't make noise. They're stealthy. Besides, I've got these to help." Bill reached into the backseat and pulled out a pair of oversized clown shoes. Molly stared at the shoes. "No. Absolutely not. We agreed no clowns. Those things squeak louder than a dying bird." "But that's the point. The squeaking will add confusion. I'll wear the duck suit with these shoes, and you be the bunny. We'll look like we belong." "We'll look like we escaped from a lunatic asylum. How do you even walk in those?" "I practiced in the parking lot. It's not easy, but it works. Now, back to the pony. Once the kids are distracted, we load the presents into the cart I borrowed." "What cart? You didn't say anything about a cart." "The cart that comes with the pony. It's like a little buggy. We'll ride away in style." Molly sighed deeply. "This is going to end with us in handcuffs, isn't it?" "Only if you keep doubting. Think positive. We'll be rich in toys." "Rich in toys? What are we, five? We need to sell this stuff, not play with it." "Details, details. Now, put on the bunny suit. We leave in five minutes." Molly grabbed the bunny suit from the seat and held it up. The floppy ears drooped sadly. "I can't believe I'm doing this," she muttered. "If I end up on social media as the bunny thief, I'm pinning it on you." Bill pulled on the duck suit, adjusting the beak. "You'll be a legend. Now, let's practice our bird calls. When I say 'squawk', you thump once." "Why thump? I thought you said no thumping." "New plan. Thumping adds suspense. It's like a drumroll. Now, squawk!" Molly thumped her foot hesitantly. The van shook slightly. Bill nodded. "Perfect. They'll never know what hit them. Let's go." Molly zipped up her bunny suit and turned to Bill. The van now smelled faintly of polyester and desperation. "One more thing," Bill said. "If anyone asks, our names are Cottontail and Quackers. I'm Cottontail, you're Quackers." Molly shook her head, the floppy ears dancing. She knew the plan was absurd, but their bank account was emptier than a kid's piƱata after a beating, and desperation was a powerful motivator.
created_at"2026-04-25T13:51:51.01Z" 4/25/2026, 1:51:51 PM
model"deepseek/deepseek-v4-pro-20260423"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency350
moderation_latency(null)
generation_time877526
tokens_prompt77
tokens_completion24943
native_tokens_prompt146
native_tokens_completion28406
native_tokens_completion_images(null)
native_tokens_reasoning24170
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
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origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.125293
router(null)
provider_responses
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endpoint_id"d084170b-dd99-4e53-9ae1-b63881f3cfbf"
is_byokfalse
latency266
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"DeepSeek"
status429
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endpoint_id"13bda129-f8a6-4a60-b1db-98082e5f7ccd"
id"ogZTiVY-6z2FuN-9f1dd3298082cce5"
is_byokfalse
latency350
model_permaslug"deepseek/deepseek-v4-pro-20260423"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1777125111-khVyi8yfdwhCBvTxPg0k"
session_id(null)
api_type"completions"
id"gen-1777125111-qfQPygeaxQ0xB5Gvvbhu"
upstream_id"ogZTiVY-6z2FuN-9f1dd3298082cce5"
total_cost0.125293
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
9.61% Matches word count n/a
neededCleanfalse
words522
62.26% Dialogue to Total Word Ratio
Ratio: 66.92%, Deviation: 3.08%
neededCleanfalse
wordsTotal523
wordsDialogue350
35.9349%