Compare/LFM2 24B A2B vs Llama 3.2 Instruct 1B

LFM2 24B A2BvsLlama 3.2 Instruct 1B

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

Liquid AI

LFM2 24B A2B

Input
$0.03/M
Output
$0.12/M
Speed
211 tok/s
TTFT
0.22s
Meta

Llama 3.2 Instruct 1B

Input
$0.1/M
Output
$0.1/M
Speed
91 tok/s
TTFT
0.42s

Winner by Category

Cheaper
LFM2 24B A2B
Faster (tok/s)
LFM2 24B A2B
Lower Latency
LFM2 24B A2B
Benchmarks (5-6)
Llama 3.2 Instruct 1B

Pricing Comparison

MetricLFM2 24B A2BLlama 3.2 Instruct 1B
Input ($/M tokens)$0.03$0.1
Output ($/M tokens)$0.12$0.1
Cost for 1M input + 100K output tokens:
LFM2 24B A2B$0.04
Llama 3.2 Instruct 1B$0.11

Speed Comparison

Output Speed (tokens/s) — higher is better
LFM2 24B A2B
211 tok/s
Llama 3.2 Instruct 1B
91 tok/s
Time to First Token (seconds) — lower is better
LFM2 24B A2B
0.22s
Llama 3.2 Instruct 1B
0.42s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
10.56.3
Coding Index
3.60.6
Math Index
0.0
GPQA Diamond
47.4%19.6%
MMLU-Pro
20.0%
LiveCodeBench
1.9%
AIME 2025
0.0%
MATH-500
14.0%
Humanity's Last Exam
4.4%5.3%
SciCode
10.9%1.7%
IFBench
45.9%22.8%
TerminalBench
0.0%0.0%
LFM2 24B A2B5 wins
6 winsLlama 3.2 Instruct 1B

Frequently Asked Questions

Which is cheaper, LFM2 24B A2B or Llama 3.2 Instruct 1B?

LFM2 24B A2B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.05/M tokens vs $0.10/M for Llama 3.2 Instruct 1B.

Which model performs better on benchmarks?

Llama 3.2 Instruct 1B wins 6 out of 12 benchmarks compared to 5 for LFM2 24B A2B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

LFM2 24B A2B generates tokens faster at 211 tok/s vs 91 tok/s. LFM2 24B A2B also has lower time-to-first-token (0.22s vs 0.42s).

When should I use LFM2 24B A2B vs Llama 3.2 Instruct 1B?

Choose based on your priorities: LFM2 24B A2B for lower cost, Llama 3.2 Instruct 1B for stronger benchmark performance, and LFM2 24B A2B for faster generation. For latency-sensitive apps, check the TTFT comparison above.