Compare/MiniMax-M3 vs GPT-5.4 nano (Non-Reasoning)

MiniMax-M3vsGPT-5.4 nano (Non-Reasoning)

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

MiniMax

MiniMax-M3

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

GPT-5.4 nano (Non-Reasoning)

Input
$0.2/M
Output
$1.25/M
Speed
159 tok/s
TTFT
0.51s

Winner by Category

Cheaper
MiniMax-M3
Faster (tok/s)
GPT-5.4 nano (Non-Reasoning)
Lower Latency
MiniMax-M3
Benchmarks (7-0)
MiniMax-M3

Pricing Comparison

MetricMiniMax-M3GPT-5.4 nano (Non-Reasoning)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
MiniMax-M3$0.00
GPT-5.4 nano (Non-Reasoning)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
MiniMax-M3
GPT-5.4 nano (Non-Reasoning)
159 tok/s
Time to First Token (seconds) — lower is better
MiniMax-M3
GPT-5.4 nano (Non-Reasoning)
0.51s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
54.724.4
Coding Index
43.427.9
Math Index
GPQA Diamond
92.9%55.8%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
37.1%4.2%
SciCode
45.4%35.2%
IFBench
82.9%32.7%
TerminalBench
42.4%24.2%
MiniMax-M37 wins
0 winsGPT-5.4 nano (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, MiniMax-M3 or GPT-5.4 nano (Non-Reasoning)?

MiniMax-M3 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?

MiniMax-M3 wins 7 out of 12 benchmarks compared to 0 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 159 tok/s vs 0 tok/s. MiniMax-M3 also has lower time-to-first-token (0.00s vs 0.51s).

When should I use MiniMax-M3 vs GPT-5.4 nano (Non-Reasoning)?

Choose based on your priorities: MiniMax-M3 for lower cost, MiniMax-M3 for stronger benchmark performance, and GPT-5.4 nano (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.