Qwen3.8 27B 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.
TaskAQwen3.8 27BBUnderdog Saluki 27B
Overall
4833.3s
335m 15s
Agents
5736.6s
409m 2s
Structured Extraction
7320.6s
433m 17s
Coding
3753.0s
166m 54s
Grounded Answers
6131.6s
433m 22s
Instruction Following
6733.6s
466m 5s
Business Logic
3632.9s
333m 55s
Security & permissions
5122.6s
433m 47s
Diagnosis & investigation
040.0s
06m 39s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAQwen3.8 27BBUnderdog Saluki 27B
Speed
196 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
256K
256K
Cost per run
$1.28
Not measured
Cost per case
$0.0083
Not measured
Time per case
33.3s (better)
5m 15s
Quantization
FP8
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