Run: 2026-05-10-01KR90TJT538VJM6507WTZVPA0

Run Details

Duration:
3.8s
Cost:
$0.000126
Provider:
Together

Evaluation summary

Score Evaluator
Details Link
93.65% Matches word count (details)
36.79% Dialogue to Total Word Ratio (details)
65.2188% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 10% 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 spread the blueprints of the suburban living room across the greasy diner table, stabbing a finger at the designated gift pile. The target was a mountain of brightly wrapped boxes, currently guarded by a chaotic swarm of sugar-charged seven-year-olds. Bill chewed his toothpick nervously, eyeing the security perimeter which consisted mostly of a sleeping golden retriever and a very distracted mother. He questioned the tactical necessity of the inflatable camouflage suits. Molly insisted that blending into a bouncy castle environment required peak commitment to the aesthetic. She had already sourced two oversized plush bear costumes equipped with hidden pockets for rapid toy extraction. The plan involved a synchronized distraction involving a remote-controlled balloon pop and a strategic deployment of glitter bombs to create a shimmering smoke screen. Bill sighed, imagining himself wrestling a Lego set away from a screaming toddler while dressed as a fuzzy mammal. He asked if they could just use a ladder. Molly glared at him, reminding him that stealth was paramount when dealing with a brigade of toddlers. They coordinated their watches, ensuring the heist would commence precisely during the chaotic transition from cake to piƱata.
created_at"2026-05-10T13:22:01.678Z" 5/10/2026, 1:22:01 PM
model"google/gemma-4-31b-it-20260402"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency201
moderation_latency(null)
generation_time3668
tokens_prompt77
tokens_completion315
native_tokens_prompt79
native_tokens_completion220
native_tokens_completion_images(null)
native_tokens_reasoning0
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)
usage0.0001258
router(null)
provider_responses
0
endpoint_id"576fca5b-f09c-4bda-b560-9989c39ac3ab"
id"oiXptAi-zfFMX-9f994018b08daf4b"
is_byokfalse
latency201
model_permaslug"google/gemma-4-31b-it-20260402"
provider_name"Together"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.1; linux; x64))"
http_referer(null)
request_id"req-1778419321-2BeWhaEeTSXPAH9m1Mfq"
session_id(null)
api_type"completions"
id"gen-1778419321-oiqq5NUrpCorteQdtjVo"
upstream_id"oiXptAi-zfFMX-9f994018b08daf4b"
total_cost0.0001258
cache_discount(null)
upstream_inference_cost0
provider_name"Together"
response_cache_source_id(null)

Evaluation details

Result Evaluator Details Meta Data
93.65% Matches word count n/a
neededCleanfalse
words191
36.79% Dialogue to Total Word Ratio
Ratio: 0.00%, Deviation: 10.00%
neededCleanfalse
wordsTotal195
wordsDialogue0
65.2188%