Run: 2026-03-18-01KM1H3KTJ0NA51E7VZJGP1ZNR

Run Details

Duration:
3m 3s
Cost:
$0.011688
Provider:
Minimax

Evaluation summary

Score Evaluator
Details Link
100.00% Matches word count (details)
100.00% Dialogue to Total Word Ratio (details)
100.0000% Overall

Model input

User/Human
You are a author of comedic heist books. Please write a 200 word scene that has 50% 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
Midnight glow from the street lamp painted the empty lot as Molly slipped a battered notebook onto a rusted folding table. Bill brushed dust off a stack of clown wigs, each one scented with cheap banana oil. They whispered about timing, the guest list, and the one stubborn poodle that roamed the backyard. The plan hinged on a distraction by a juggling clown, a sudden gust to blow away confetti, and a quick dash to the gift pile. Their nerves tingled like static, but their eyes sparkled with the promise of glittering loot. It felt like a slapstick circus routine. "Alright Bill, the clown mask fits like a dream, but we need a backup plan if the dog smells us." "We’ll stash the loot in the bounce‑house tunnel, then sprint out before the birthday song ends and the kids notice." "If the magician’s trick goes sideways, I’ll trigger the confetti cannon to cover our retreat, and you grab the presents." "I’ll tie a beard on the DJ and shout “birthday surprise!” to distract the crowd while we slip out unnoticed." "Remember, after we take the loot we swap gift tags with decoys, so parents think toys are under the tree."
created_at"2026-03-18T22:29:52.09Z" 3/18/2026, 10:29:52 PM
model"minimax/minimax-m2.7-20260318"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency720
moderation_latency(null)
generation_time182919
tokens_prompt77
tokens_completion9953
native_tokens_prompt101
native_tokens_completion9715
native_tokens_completion_images(null)
native_tokens_reasoning9468
native_tokens_cached0
num_media_prompt(null)
num_input_audio_prompt(null)
num_media_completion0
num_search_results(null)
origin"https://ncbench.com/"
is_byokfalse
finish_reason"stop"
native_finish_reason"stop"
usage0.0116883
router(null)
provider_responses
0
endpoint_id"471cf4ea-3548-4dd7-9f86-8c0f9c21d3ca"
id"060a5a600b7fafca7457a1ada333f305"
is_byokfalse
latency720
model_permaslug"minimax/minimax-m2.7-20260318"
provider_name"Minimax"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.14.0; linux; x64))"
http_referer(null)
api_type"completions"
id"gen-1773872992-GWhWJFInxefZLdMDzBxC"
upstream_id"060a5a600b7fafca7457a1ada333f305"
total_cost0.0116883
cache_discount(null)
upstream_inference_cost0
provider_name"Minimax"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 50.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue100
100.0000%