Flint vs LFM2.5 24B A2B
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.
TaskAFlintBLFM2.5 24B A2B
Overall
211m 17s
71m 53s
Agents
1447.7s
123m 49s
Structured Extraction
291m 17s
1054.9s
Coding
141m 19s
11m 15s
Grounded Answers
2957.7s
557.8s
Instruction Following
352m 28s
162m 44s
Business Logic
101m 20s
51m 2s
Security & permissions
3552.6s
101m 52s
Diagnosis & investigation
057.0s
04m 12s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAFlintBLFM2.5 24B A2B
Speed
149 tok/s
82 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
25.0 GB
Context
256K (better)
128K
Cost per run
Not measured
Not measured
Cost per case
Not measured
Not measured
Time per case
1m 17s (better)
1m 53s
Quantization
BF16
Q8_0
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