Compare/LFM2.5-1.2B-Thinking vs GPT-5.4 mini (Non-Reasoning)

LFM2.5-1.2B-ThinkingvsGPT-5.4 mini (Non-Reasoning)

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

Liquid AI

LFM2.5-1.2B-Thinking

Input
$0/M
Output
$0/M
Speed
TTFT
OpenAI

GPT-5.4 mini (Non-Reasoning)

Input
$0.75/M
Output
$4.5/M
Speed
202 tok/s
TTFT
0.45s

Winner by Category

Cheaper
LFM2.5-1.2B-Thinking
Faster (tok/s)
GPT-5.4 mini (Non-Reasoning)
Lower Latency
LFM2.5-1.2B-Thinking
Benchmarks (2-5)
GPT-5.4 mini (Non-Reasoning)

Pricing Comparison

MetricLFM2.5-1.2B-ThinkingGPT-5.4 mini (Non-Reasoning)
Input ($/M tokens)$0$0.75
Output ($/M tokens)$0$4.5
Cost for 1M input + 100K output tokens:
LFM2.5-1.2B-Thinking$0.00
GPT-5.4 mini (Non-Reasoning)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
LFM2.5-1.2B-Thinking
GPT-5.4 mini (Non-Reasoning)
202 tok/s
Time to First Token (seconds) — lower is better
LFM2.5-1.2B-Thinking
GPT-5.4 mini (Non-Reasoning)
0.45s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.123.3
Coding Index
1.425.3
Math Index
GPQA Diamond
33.9%60.6%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
6.1%5.7%
SciCode
4.2%39.6%
IFBench
41.8%38.8%
TerminalBench
0.0%18.2%
LFM2.5-1.2B-Thinking2 wins
5 winsGPT-5.4 mini (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, LFM2.5-1.2B-Thinking or GPT-5.4 mini (Non-Reasoning)?

LFM2.5-1.2B-Thinking is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $1.69/M for GPT-5.4 mini (Non-Reasoning).

Which model performs better on benchmarks?

GPT-5.4 mini (Non-Reasoning) wins 5 out of 12 benchmarks compared to 2 for LFM2.5-1.2B-Thinking. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (Non-Reasoning) generates tokens faster at 202 tok/s vs 0 tok/s. LFM2.5-1.2B-Thinking also has lower time-to-first-token (0.00s vs 0.45s).

When should I use LFM2.5-1.2B-Thinking vs GPT-5.4 mini (Non-Reasoning)?

Choose based on your priorities: LFM2.5-1.2B-Thinking for lower cost, GPT-5.4 mini (Non-Reasoning) for stronger benchmark performance, and GPT-5.4 mini (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.