Mistral Large 4 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. Underdog Saluki 27B spends 1.3× as many thinking tokens per test case.
TaskAMistral Large 4BUnderdog Saluki 27B
Overall
281m 56s
335m 15s
Agents
1126.1s
409m 2s
Structured Extraction
153.78s
433m 17s
Coding
332m 48s
166m 54s
Grounded Answers
382m 45s
433m 22s
Instruction Following
693m 47s
466m 5s
Business Logic
242m 40s
333m 55s
Security & permissions
331m 9s
433m 47s
Diagnosis & investigation
01m 19s
06m 39s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAMistral Large 4BUnderdog Saluki 27B
Speed
56 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
512K (better)
256K
Cost per run
$2.67
Not measured
Cost per case
$0.017
Not measured
Time per case
1m 56s (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