Compare/Gemma 3n E4B Instruct vs LFM2 24B A2B

Gemma 3n E4B InstructvsLFM2 24B A2B

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

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Gemma 3n E4B Instruct

Input
$0.02/M
Output
$0.04/M
Speed
27 tok/s
TTFT
0.30s
Liquid AI

LFM2 24B A2B

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

Winner by Category

Cheaper
Gemma 3n E4B Instruct
Faster (tok/s)
LFM2 24B A2B
Lower Latency
LFM2 24B A2B
Benchmarks (7-4)
Gemma 3n E4B Instruct

Pricing Comparison

MetricGemma 3n E4B InstructLFM2 24B A2B
Input ($/M tokens)$0.02$0.03
Output ($/M tokens)$0.04$0.12
Cost for 1M input + 100K output tokens:
Gemma 3n E4B Instruct$0.02
LFM2 24B A2B$0.04

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemma 3n E4B Instruct
27 tok/s
LFM2 24B A2B
211 tok/s
Time to First Token (seconds) — lower is better
Gemma 3n E4B Instruct
0.30s
LFM2 24B A2B
0.22s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
6.410.5
Coding Index
4.23.6
Math Index
14.3
GPQA Diamond
29.6%47.4%
MMLU-Pro
48.8%
LiveCodeBench
14.6%
AIME 2025
14.3%
MATH-500
77.1%
Humanity's Last Exam
4.4%4.4%
SciCode
8.1%10.9%
IFBench
27.9%45.9%
TerminalBench
2.3%0.0%
Gemma 3n E4B Instruct7 wins
4 winsLFM2 24B A2B

Frequently Asked Questions

Which is cheaper, Gemma 3n E4B Instruct or LFM2 24B A2B?

Gemma 3n E4B Instruct is cheaper overall. Its blended price (3:1 input/output ratio) is $0.03/M tokens vs $0.05/M for LFM2 24B A2B.

Which model performs better on benchmarks?

Gemma 3n E4B Instruct wins 7 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 211 tok/s vs 27 tok/s. However, LFM2 24B A2B has lower time-to-first-token (0.22s vs 0.30s).

When should I use Gemma 3n E4B Instruct vs LFM2 24B A2B?

Choose based on your priorities: Gemma 3n E4B Instruct for lower cost, Gemma 3n E4B Instruct for stronger benchmark performance, and LFM2 24B A2B for faster generation. For latency-sensitive apps, check the TTFT comparison above.