Compare/Llama 3.2 Instruct 3B vs LFM2 24B A2B

Llama 3.2 Instruct 3BvsLFM2 24B A2B

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

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Llama 3.2 Instruct 3B

Input
$0.085/M
Output
$0.085/M
Speed
50 tok/s
TTFT
0.35s
Liquid AI

LFM2 24B A2B

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

Winner by Category

Cheaper
LFM2 24B A2B
Faster (tok/s)
LFM2 24B A2B
Lower Latency
LFM2 24B A2B
Benchmarks (6-6)
Tie

Pricing Comparison

MetricLlama 3.2 Instruct 3BLFM2 24B A2B
Input ($/M tokens)$0.085$0.03
Output ($/M tokens)$0.085$0.12
Cost for 1M input + 100K output tokens:
Llama 3.2 Instruct 3B$0.09
LFM2 24B A2B$0.04

Speed Comparison

Output Speed (tokens/s) — higher is better
Llama 3.2 Instruct 3B
50 tok/s
LFM2 24B A2B
211 tok/s
Time to First Token (seconds) — lower is better
Llama 3.2 Instruct 3B
0.35s
LFM2 24B A2B
0.22s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.710.5
Coding Index
3.6
Math Index
3.3
GPQA Diamond
25.5%47.4%
MMLU-Pro
34.7%
LiveCodeBench
8.3%
AIME 2025
3.3%
MATH-500
48.9%
Humanity's Last Exam
5.2%4.4%
SciCode
5.2%10.9%
IFBench
26.2%45.9%
TerminalBench
0.0%
Llama 3.2 Instruct 3B6 wins
6 winsLFM2 24B A2B

Frequently Asked Questions

Which is cheaper, Llama 3.2 Instruct 3B or LFM2 24B A2B?

LFM2 24B A2B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.05/M tokens vs $0.09/M for Llama 3.2 Instruct 3B.

Which model performs better on benchmarks?

It's a tie — both models win 6 benchmarks each across 12 evaluated categories. 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 50 tok/s. However, LFM2 24B A2B has lower time-to-first-token (0.22s vs 0.35s).

When should I use Llama 3.2 Instruct 3B vs LFM2 24B A2B?

Choose based on your priorities: LFM2 24B A2B for lower cost, both perform similarly on benchmarks, and LFM2 24B A2B for faster generation. For latency-sensitive apps, check the TTFT comparison above.