Run: 2026-09-02-01M1HARYFTB25815FF7BVT92WR

Run Details

Duration:
29.0s
Cost:
$0.000615
Provider:
Alibaba

Evaluation summary

Score Evaluator
Details Link
68.10% Matches word count (details)
96.00% Dialogue to Total Word Ratio (details)
82.0503% 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
"We can't just waltz in there, Bill. It's Leo's third birthday." Molly tugged her mustache. "The security is terrifying. Balloons everywhere and they're judging us. Also, the parents have clipboards. They're tracking consumption rates!" "Relax, Mols. Recon confirms the piƱata is the distraction, the cake the decoy. We hit the tree during 'Happy Birthday' when eyes glaze with sugar. Phase one involves screaming about glitter. Phase two is the sack." Bill glanced down. "Does Santa look like me?" "You look like a raccoon fought by a dryer sheet. Wear the earflaps you stole from Old Man Henderson. If you sneeze, you're out. And leave the tinsel alone; static shock is not in the budget." Molly squinted through the slats. "Is that a motion-sensor bouncy castle?" "My suit has jam-proof mesh. The laser grid around the sandbox is merely decorative, really. I bag the Lego; you grab the socks and gift cards. Remember, non-lethal takedowns only. We're thieves, not villains, despite the matching tracksuits." "Gift cards? Cold even for us. What about the dog?" "Golden Retriever. Double-agent. Biscuits in my fanny pack. He's compromised. Last week I saw him wearing a party hat. Zip it, we've got twenty minutes until goodie bags. Move fast, billionaires by snack time. Grab a juice box for the road."
created_at"2026-09-02T15:11:05.731Z" 9/2/2026, 3:11:05 PM
model"qwen/qwen3.7-flash-20260727"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency386
moderation_latency(null)
generation_time28966
tokens_prompt75
tokens_completion4148
native_tokens_prompt76
native_tokens_completion4716
native_tokens_completion_images(null)
native_tokens_reasoning4391
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)
usage0.00061536
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788361865-TvsS2xMC4KTqjZ89rik1"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788361865-AjKfvawuzCFWiESnJlZQ"
upstream_id"chatcmpl-4e524f3a-e607-9682-9a01-0903b27a6b38"
provider_responses
0
endpoint_id"5a9a0ee6-874a-4d03-92be-e5094c0df4e7"
id"chatcmpl-4e524f3a-e607-9682-9a01-0903b27a6b38"
is_byokfalse
latency385
model_permaslug"qwen/qwen3.7-flash-20260727"
provider_name"Alibaba"
status200
total_cost0.00061536
cache_discount(null)
upstream_inference_cost0
provider_name"Alibaba"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
68.10% Matches word count n/a
neededCleanfalse
words214
96.00% Dialogue to Total Word Ratio
Ratio: 94.50%, Deviation: 4.50%
neededCleanfalse
wordsTotal218
wordsDialogue206
82.0503%