Run: 2026-07-25-01KYD78PG82JC811XP1YBZB1YG

Run Details

Model:
Muse Spark 1.1 (Reasoning, Medium)
Test:
Data extraction
Scenario:
Highest-rated movie
Duration:
1.9s
Cost:
$0.001470
Provider:
Meta

Evaluation summary

Score Evaluator
Details Link
Pass Matches text (details)
Pass Matches Regex (details)
no eval Overall

Model input

User/Human
What is the title of the highest-rated movie? Only return the movie title, preserving its original capitalization. Movie Ratings: - The Shawshank Redemption (1994): 9.3/10 - The Godfather (1972): 9.2/10 - 12 Angry Men (1957): 8.9/10 - Schindler's List (1993): 9.0/10 - The Lord of the Rings: The Return of the King (2003): 9.0/10

Model response

AI
The Shawshank Redemption
created_at"2026-07-25T18:05:44.337Z" 7/25/2026, 6:05:44 PM
model"meta/muse-spark-1.1-20260709"
app_id182717
external_user(null)
streamedtrue
cancelledfalse
latency1830
moderation_latency(null)
generation_time1857
tokens_prompt85
tokens_completion6
native_tokens_prompt275
native_tokens_completion265
native_tokens_completion_images0
native_tokens_reasoning250
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"
usage0.00147
router(null)
provider_responses
0
endpoint_id"b2b9f6f9-8880-41c1-bd0c-867650fd5238"
id"resp_6a64faf874954384300e4439"
is_byokfalse
latency200
model_permaslug"meta/muse-spark-1.1-20260709"
provider_name"Meta"
status200
user_agent"langchainjs-openai/1.0.0 ((node/v24.18.0; linux; x64))"
http_referer(null)
request_id"req-1785002744-i7FiHlXu9Id3s2SwoF0d"
session_id(null)
preset_id(null)
api_type"completions"
id"gen-1785002744-8lXmChZowE2JHQY4ZIQ9"
upstream_id"resp_6a64faf874954384300e4439"
total_cost0.00147
cache_discount(null)
upstream_inference_cost0
provider_name"Meta"
response_cache_source_id(null)
data_region"global"

Evaluation details

Result Evaluator Details Meta Data
Pass Matches text
Case sensitive: The Shawshank Redemption
 n/a
Pass Matches Regex
/\bThe Shawshank Redemption\b/
 n/a
no eval