Run: 2026-09-03-01M1K5JT6EHHB6A9X176ECA4F0

Run Details

Model:
Muse Spark 1.3 (Reasoning, Medium)
Test:
Dialogue tags
Scenario:
Write 200 words with 90% dialogue
Duration:
37.8s
Cost:
$0.014849
Provider:
Meta

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 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 said, "Listen Bill we need a perfect plan to crash that rich kid birthday party for presents tonight okay" Bill said, "Okay Molly but stealing from children sounds really low even for us professional birthday burglars right you agree" Molly said, "Relax Bill those kids get mountains of toys they will never miss a couple LEGO sets trust me" Bill said, "Fine what is your brilliant genius master plan to sneak past clowns parents and that scary bouncy castle" Molly said, "We dress as entertainers you be the magician and I will be the tattoo lady with balloons cheap" Bill said, "I hate clowns kids scream at my face paint last time and I cried behind the cake table" Molly said, "Stop whining Bill focus we grab the gift table during pinata chaos then run to van fast together" Bill said, "What about the birthday boy Tommy he guards presents like a tiny angry dragon with cake frosting hands" Molly said, "Easy I distract Tommy with extra candy while you stuff every shiny box into laundry bags quickly quietly" Bill said, "Alright Molly this is terrible but I love stealing toys so let us go rob that party hard"
created_at"2026-09-03T08:18:50.707Z" 9/3/2026, 8:18:50 AM
model"meta/muse-spark-1.3-20260902"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency36447
moderation_latency(null)
generation_time37780
tokens_prompt75
tokens_completion284
native_tokens_prompt68
native_tokens_completion3474
native_tokens_completion_images0
native_tokens_reasoning3217
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"completed"
service_tier"auto"
usage0.0148495
router(null)
user_agent"langchainjs-openai/1.0.0 ((node/v24.19.0; linux; x64))"
http_referer(null)
request_id"req-1788423530-Y8wC8UyLzXVYA6Zty3LA"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1788423530-8vO617JoDdbyqT4pe9Px"
upstream_id"resp_6a992d6ac0be51bacb804c1f"
provider_responses
0
endpoint_id"cf4f1b4e-1719-4b65-9111-7dd7635e5a2f"
id"resp_6a992d6ac0be51bacb804c1f"
is_byokfalse
latency336
model_permaslug"meta/muse-spark-1.3-20260902"
provider_name"Meta"
status200
total_cost0.0148495
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"
workspace_id"97e315e5-d303-487d-83c1-83180e8a13d4"

Evaluation details

Result Evaluator Details Meta Data
100.00% Matches word count n/a
neededCleanfalse
words200
100.00% Dialogue to Total Word Ratio
Ratio: 90.00%, Deviation: 0.00%
neededCleanfalse
wordsTotal200
wordsDialogue180
100.0000%