Run: 2026-09-03-01M1K9TWRPBPKDXPV6Y4TBD9DC

Run Details

Duration:
15.3s
Cost:
$0.000079
Provider:
Relace

Evaluation summary

Score Evaluator
Details Link
99.92% Matches word count (details)
0.00% Dialogue to Total Word Ratio (details)
49.9595% 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
Molly flattened the party invitation against the van’s dashboard. “We hit at three, right when the clown starts the balloon animals. That’s when the parents are distracted.” Bill squinted at the backyard layout. “And the presents go under the big oak tree. You said there’s a Labrador.” “Jellybean. He’ll bark at the bounce house, not us. We go over the fence, through the hedges, and we’re at the gift table in forty seconds.” “Forty seconds,” Bill repeated. “What about the birthday girl?” “She’ll be crying. The clown’s never funny. Trust me.” Bill chewed his lip. “Stealing from a five-year-old feels like a new low, Moll.” “Her dad’s a plastic surgeon. These are the good presents. Think of it as adult adoption.” “Adoption,” Bill muttered. “Right.” Molly nudged him. “You’re the one who wanted a real heist. This is the realest heist of your life. No vaults, no lasers, just a bounce house and a weeping clown.” Bill sighed, then grinned. “I’ll bring the duffel bag.” “And the decoy confetti cannons?” “Of course.” Molly folded the invitation. “Then we’re set. Let’s go make some kid’s memories slightly less grand.” “That’s the spirit,” Bill said. “Let’s rob a toddler.”
created_at"2026-09-03T09:33:09.796Z" 9/3/2026, 9:33:09 AM
model"deepseek/deepseek-v4-flash-20260731"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency596
moderation_latency(null)
generation_time14293
tokens_prompt75
tokens_completion417
native_tokens_prompt146
native_tokens_completion388
native_tokens_completion_images(null)
native_tokens_reasoning76
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)
usage0.00007933
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788427989-O2T7ROhTXc1q5syDqsjD"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788427989-a3gVd8b7dCxYriwxWdcE"
upstream_id"1a646f88cfc34e4b84b0773c6b23dba1"
provider_responses
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endpoint_id"d880a270-04ff-479c-b312-6246c0f985b0"
is_byokfalse
latency364
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"StreamLake"
status429
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endpoint_id"cb029acf-a84f-4280-8103-909d269e1e5f"
is_byokfalse
latency577
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"DigitalOcean"
status429
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endpoint_id"57c1bfab-049c-4d6a-ab34-ac1007a6043b"
id"1a646f88cfc34e4b84b0773c6b23dba1"
is_byokfalse
latency595
model_permaslug"deepseek/deepseek-v4-flash-20260731"
provider_name"Relace"
status200
total_cost0.00007933
cache_discount(null)
upstream_inference_cost0
provider_name"Relace"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
99.92% Matches word count n/a
neededCleanfalse
words197
0.00% Dialogue to Total Word Ratio
Ratio: 81.91%, Deviation: 31.91%
neededCleanfalse
wordsTotal199
wordsDialogue163
49.9595%