Claude Haiku 5.5 vs LFM3 1.7B
Task by task
A score turns orange only when that model wins clearly more of the task's test cases. The time under each score is the average per test case, on the machine it ran on. LFM3 1.7B spends 2.9× as many thinking tokens per test case.
TaskAClaude Haiku 5.5BLFM3 1.7B
Overall
7025.5s
62m 11s
Agents
6139.5s
132m 40s
Structured Extraction
9013.5s
01m 25s
Coding
8630.6s
51m 21s
Grounded Answers
7613.9s
01m 54s
Instruction Following
9431.5s
144m 39s
Business Logic
6726.0s
01m 37s
Security & permissions
6723.4s
161m 48s
Diagnosis & investigation
1725.5s
01m 36s
What you'd run
The build behind each score. Orange marks the faster, smaller, cheaper or longer-context side.
SpecAClaude Haiku 5.5BLFM3 1.7B
Speed
225 tok/s
104 tok/s
Machine
Hosted
Apple M5 Pro, 48 GB
Memory at 32K
—
2.8 GB
Context
1M (better)
256K
Cost per run
$0.42
Not measured
Cost per case
$0.0028
Not measured
Time per case
25.5s (better)
2m 11s
Quantization
—
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