Compare/Motif-2-12.7B-Reasoning vs GPT-5.4 nano (Non-Reasoning)

Motif-2-12.7B-ReasoningvsGPT-5.4 nano (Non-Reasoning)

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

Motif Technologies

Motif-2-12.7B-Reasoning

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

GPT-5.4 nano (Non-Reasoning)

Input
$0.2/M
Output
$1.25/M
Speed
177 tok/s
TTFT
0.47s

Winner by Category

Cheaper
Motif-2-12.7B-Reasoning
Faster (tok/s)
GPT-5.4 nano (Non-Reasoning)
Lower Latency
Motif-2-12.7B-Reasoning
Benchmarks (7-4)
Motif-2-12.7B-Reasoning

Pricing Comparison

MetricMotif-2-12.7B-ReasoningGPT-5.4 nano (Non-Reasoning)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Motif-2-12.7B-Reasoning$0.00
GPT-5.4 nano (Non-Reasoning)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Motif-2-12.7B-Reasoning
GPT-5.4 nano (Non-Reasoning)
177 tok/s
Time to First Token (seconds) — lower is better
Motif-2-12.7B-Reasoning
GPT-5.4 nano (Non-Reasoning)
0.47s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
19.124.4
Coding Index
11.927.9
Math Index
80.3
GPQA Diamond
69.5%55.8%
MMLU-Pro
79.6%
LiveCodeBench
65.1%
AIME 2025
80.3%
MATH-500
Humanity's Last Exam
8.2%4.2%
SciCode
28.2%35.2%
IFBench
57.0%32.7%
TerminalBench
3.8%24.2%
Motif-2-12.7B-Reasoning7 wins
4 winsGPT-5.4 nano (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, Motif-2-12.7B-Reasoning or GPT-5.4 nano (Non-Reasoning)?

Motif-2-12.7B-Reasoning is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.46/M for GPT-5.4 nano (Non-Reasoning).

Which model performs better on benchmarks?

Motif-2-12.7B-Reasoning wins 7 out of 12 benchmarks compared to 4 for GPT-5.4 nano (Non-Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (Non-Reasoning) generates tokens faster at 177 tok/s vs 0 tok/s. Motif-2-12.7B-Reasoning also has lower time-to-first-token (0.00s vs 0.47s).

When should I use Motif-2-12.7B-Reasoning vs GPT-5.4 nano (Non-Reasoning)?

Choose based on your priorities: Motif-2-12.7B-Reasoning for lower cost, Motif-2-12.7B-Reasoning for stronger benchmark performance, and GPT-5.4 nano (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.