Mellum2.1 Thinking 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. Both models spend about the same on thinking per test case.
TaskAMellum2.1 ThinkingBUnderdog Saluki 27B
Overall
91m 56s
335m 15s
Agents
92m 3s
409m 2s
Structured Extraction
51m 36s
433m 17s
Coding
52m 11s
166m 54s
Grounded Answers
131m 24s
433m 22s
Instruction Following
283m 10s
466m 5s
Business Logic
01m 39s
333m 55s
Security & permissions
81m 40s
433m 47s
Diagnosis & investigation
01m 15s
06m 39s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMellum2.1 ThinkingBUnderdog Saluki 27B
Speed
90 tok/s (better)
23 tok/s
Machine
Apple M5 Pro, 48 GB
Apple M5 Pro, 48 GB
Memory at 32K
12.9 GB
10.2 GB (better)
Context
128K
256K (better)
Cost per run
$2.46 est.
Not measured
Cost per case
$0.016 est.
Not measured
Time per case
1m 56s (better)
5m 15s
Quantization
Q8_0
IQ2_XS
Harness
llama.cpp
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