Flint 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. Flint spends 1.7× as many thinking tokens per test case.
TaskAFlintBUnderdog Saluki 27B
Overall
211m 17s
335m 15s
Agents
1447.7s
409m 2s
Structured Extraction
291m 17s
433m 17s
Coding
141m 19s
166m 54s
Grounded Answers
2957.7s
433m 22s
Instruction Following
352m 28s
466m 5s
Business Logic
101m 20s
333m 55s
Security & permissions
3552.6s
433m 47s
Diagnosis & investigation
057.0s
06m 39s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAFlintBUnderdog Saluki 27B
Speed
149 tok/s
23 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
10.2 GB
Context
256K
256K
Cost per run
Not measured
Not measured
Cost per case
Not measured
Not measured
Time per case
1m 17s (better)
5m 15s
Quantization
BF16
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