Run: 2026-09-03-01M1KC147SHVX4B4C5M8BAQZR7

Run Details

Duration:
28.1s
Cost:
$0.000125
Provider:
OpenInference

Evaluation summary

Score Evaluator
Details Link
99.98% Matches word count (details)
99.40% Dialogue to Total Word Ratio (details)
99.6906% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 90% 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 peeked over the hedge. "Okay, Bill, we've got a ninety-second window when the piñata breaks. That's our cue." Bill wiped his brow. "Molly, we're robbing a five-year-old's birthday party. This feels wrong on a spiritual level." "Wrong? Bill, look at that gift table. That's a Lego Millennium Falcon. Retails at a hundred and fifty. That's not a toy, that's a retirement plan." "But the kids—" "The kids are sugar-crazed chaos gremlins. They won't notice a missing present until they're forty. Now, I've mapped the layout. The mom's on diaper duty in the backyard. The dad's passed out on the bouncy castle. The entrance is through the side gate." Bill pointed. "What about that dog? The one wearing the party hat?" "That's a stuffed poodle. It's a decoration." "It moved." "It's a wind-up toy, Bill. Focus. On my signal, we crawl in, grab the Falcon, snag the gift card basket, and we're out through the hedge." "Gift card basket? That's the low-hanging fruit." "Exactly. And if we're lucky, we'll score a Cocomelon backpack too. Now, go. Slow and low." Bill hesitated. "But what if a kid sees us and cries?" Molly grinned. "Then we run faster. Crying is just speed fuel. Move."
created_at"2026-09-03T10:11:31.207Z" 9/3/2026, 10:11:31 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency578
moderation_latency(null)
generation_time28032
tokens_prompt75
tokens_completion759
native_tokens_prompt67
native_tokens_completion758
native_tokens_completion_images(null)
native_tokens_reasoning447
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
num_fetches(null)
web_search_engine(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
service_tier(null)
usage0.00012463
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788430291-h8BFB8ahtpaNM7uXCiTA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788430291-hGobU9L8R7q1Kox5v8Ct"
upstream_id"chatcmpl-8983c18c-d90c-40a2-a8ce-62e33e40d7e4"
provider_responses
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endpoint_id"f954a48e-1c90-433b-9348-4720f8030331"
id"chatcmpl-8983c18c-d90c-40a2-a8ce-62e33e40d7e4"
is_byokfalse
latency578
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"OpenInference"
status200
total_cost0.00012463
cache_discount(null)
upstream_inference_cost0
provider_name"OpenInference"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.98% Matches word count n/a
neededCleanfalse
words202
99.40% Dialogue to Total Word Ratio
Ratio: 92.79%, Deviation: 2.79%
neededCleanfalse
wordsTotal208
wordsDialogue193
99.6906%