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

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

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

MiniMax

MiniMax-M2.5

Input
$0.3/M
Output
$1.2/M
Speed
47 tok/s
TTFT
1.40s
OpenAI

GPT-5.4 nano (medium)

Input
$0.2/M
Output
$1.25/M
Speed
171 tok/s
TTFT
2.38s

Winner by Category

Cheaper
GPT-5.4 nano (medium)
Faster (tok/s)
GPT-5.4 nano (medium)
Lower Latency
MiniMax-M2.5
Benchmarks (7-0)
MiniMax-M2.5

Pricing Comparison

MetricMiniMax-M2.5GPT-5.4 nano (medium)
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 (medium)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
MiniMax-M2.5
47 tok/s
GPT-5.4 nano (medium)
171 tok/s
Time to First Token (seconds) — lower is better
MiniMax-M2.5
1.40s
GPT-5.4 nano (medium)
2.38s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
41.938.1
Coding Index
37.435.0
Math Index
GPQA Diamond
84.8%76.1%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
19.1%14.7%
SciCode
42.6%38.4%
IFBench
71.6%64.4%
TerminalBench
34.8%33.3%
MiniMax-M2.57 wins
0 winsGPT-5.4 nano (medium)

Frequently Asked Questions

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

GPT-5.4 nano (medium) 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?

MiniMax-M2.5 wins 7 out of 12 benchmarks compared to 0 for GPT-5.4 nano (medium). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (medium) generates tokens faster at 171 tok/s vs 47 tok/s. MiniMax-M2.5 also has lower time-to-first-token (1.40s vs 2.38s).

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

Choose based on your priorities: GPT-5.4 nano (medium) for lower cost, MiniMax-M2.5 for stronger benchmark performance, and GPT-5.4 nano (medium) for faster generation. For latency-sensitive apps, check the TTFT comparison above.