Muse Spark 1.3 Contributor vs Underdog Saluki 27B
Task by task
A score turns orange only when that model wins clearly more of the task's test cases. Under each score, the average time per test case on the machine it ran on. Muse Spark 1.3 Contributor spends 1.4× as many thinking tokens per test case.
TaskAMuse Spark 1.3 ContributorBUnderdog Saluki 27B
Overall
661m 42s
335m 15s
Agents
573m 16s
409m 2s
Structured Extraction
9037.9s
433m 17s
Coding
482m 1s
166m 54s
Grounded Answers
811m 1s
433m 22s
Instruction Following
841m 18s
466m 5s
Business Logic
761m 7s
333m 55s
Security & permissions
761m 59s
433m 47s
Diagnosis & investigation
173m 34s
06m 39s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMuse Spark 1.3 ContributorBUnderdog Saluki 27B
Speed
107 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
1M (better)
256K
Cost per run
$0.41
Not measured
Cost per case
$0.0027
Not measured
Time per case
1m 42s (better)
5m 15s
Quantization
—
IQ2_XS
Harness
openrouter
llama.cpp
The race
Each model's running score as the test cases go by. The dashed line is a perfect run.
Every test case
Each square is one test case, colored by the model that scored higher.
Agents
Structured Extraction
Coding
Grounded Answers
Instruction Following
Business Logic
Security & permissions
Diagnosis & investigation