Compare/MiniMax-M2.5 vs GPT-5.4 nano (xhigh)

MiniMax-M2.5vsGPT-5.4 nano (xhigh)

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

MiniMax

MiniMax-M2.5

Input
$0.3/M
Output
$1.2/M
Speed
61 tok/s
TTFT
1.12s
OpenAI

GPT-5.4 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
206 tok/s
TTFT
2.52s

Winner by Category

Cheaper
GPT-5.4 nano (xhigh)
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
MiniMax-M2.5
Benchmarks (1-6)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricMiniMax-M2.5GPT-5.4 nano (xhigh)
Input ($/M tokens)$0.3$0.2
Output ($/M tokens)$1.2$1.25
Cost for 1M input + 100K output tokens:
MiniMax-M2.5$0.42
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
MiniMax-M2.5
61 tok/s
GPT-5.4 nano (xhigh)
206 tok/s
Time to First Token (seconds) — lower is better
MiniMax-M2.5
1.12s
GPT-5.4 nano (xhigh)
2.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
41.944.4
Coding Index
37.443.9
Math Index
GPQA Diamond
84.8%81.7%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
19.1%26.5%
SciCode
42.6%46.9%
IFBench
71.6%75.9%
TerminalBench
34.8%42.4%
MiniMax-M2.51 wins
6 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, MiniMax-M2.5 or GPT-5.4 nano (xhigh)?

GPT-5.4 nano (xhigh) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.46/M tokens vs $0.53/M for MiniMax-M2.5.

Which model performs better on benchmarks?

GPT-5.4 nano (xhigh) wins 6 out of 12 benchmarks compared to 1 for MiniMax-M2.5. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (xhigh) generates tokens faster at 206 tok/s vs 61 tok/s. MiniMax-M2.5 also has lower time-to-first-token (1.12s vs 2.52s).

When should I use MiniMax-M2.5 vs GPT-5.4 nano (xhigh)?

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