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

Llama 3.2 Instruct 1BvsLFM2 24B A2B

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

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Llama 3.2 Instruct 1B

Input
$0.05/M
Output
$0.05/M
Speed
87 tok/s
TTFT
0.58s
Liquid AI

LFM2 24B A2B

Input
$0.03/M
Output
$0.12/M
Speed
126 tok/s
TTFT
0.33s

Winner by Category

Cheaper
Llama 3.2 Instruct 1B
Faster (tok/s)
LFM2 24B A2B
Lower Latency
LFM2 24B A2B
Benchmarks (6-4)
Llama 3.2 Instruct 1B

Pricing Comparison

MetricLlama 3.2 Instruct 1BLFM2 24B A2B
Input ($/M tokens)$0.05$0.03
Output ($/M tokens)$0.05$0.12
Cost for 1M input + 100K output tokens:
Llama 3.2 Instruct 1B$0.06
LFM2 24B A2B$0.04

Speed Comparison

Output Speed (tokens/s) — higher is better
Llama 3.2 Instruct 1B
87 tok/s
LFM2 24B A2B
126 tok/s
Time to First Token (seconds) — lower is better
Llama 3.2 Instruct 1B
0.58s
LFM2 24B A2B
0.33s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
1.14.9
Coding Index
Math Index
0.0
GPQA Diamond
19.6%47.4%
MMLU-Pro
20.0%
LiveCodeBench
1.9%
AIME 2025
0.0%
MATH-500
14.0%
Humanity's Last Exam
5.3%4.4%
SciCode
1.7%10.9%
IFBench
22.8%45.9%
TerminalBench
0.0%0.0%
Llama 3.2 Instruct 1B6 wins
4 winsLFM2 24B A2B

Frequently Asked Questions

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

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

Which model performs better on benchmarks?

Llama 3.2 Instruct 1B wins 6 out of 12 benchmarks compared to 4 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 126 tok/s vs 87 tok/s. However, LFM2 24B A2B has lower time-to-first-token (0.33s vs 0.58s).

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

Choose based on your priorities: Llama 3.2 Instruct 1B 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.