Compare/K-EXAONE (Reasoning) vs GPT-5.4 nano (xhigh)

K-EXAONE (Reasoning)vsGPT-5.4 nano (xhigh)

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

LG AI Research

K-EXAONE (Reasoning)

Input
$0/M
Output
$0/M
Speed
TTFT
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
K-EXAONE (Reasoning)
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
K-EXAONE (Reasoning)
Benchmarks (4-7)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricK-EXAONE (Reasoning)GPT-5.4 nano (xhigh)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
K-EXAONE (Reasoning)$0.00
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
K-EXAONE (Reasoning)
GPT-5.4 nano (xhigh)
206 tok/s
Time to First Token (seconds) — lower is better
K-EXAONE (Reasoning)
GPT-5.4 nano (xhigh)
2.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
32.144.4
Coding Index
27.043.9
Math Index
90.3
GPQA Diamond
78.3%81.7%
MMLU-Pro
83.8%
LiveCodeBench
76.8%
AIME 2025
90.3%
MATH-500
Humanity's Last Exam
13.1%26.5%
SciCode
35.6%46.9%
IFBench
64.7%75.9%
TerminalBench
22.7%42.4%
K-EXAONE (Reasoning)4 wins
7 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, K-EXAONE (Reasoning) or GPT-5.4 nano (xhigh)?

K-EXAONE (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 (xhigh).

Which model performs better on benchmarks?

GPT-5.4 nano (xhigh) wins 7 out of 12 benchmarks compared to 4 for K-EXAONE (Reasoning). 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 0 tok/s. K-EXAONE (Reasoning) also has lower time-to-first-token (0.00s vs 2.52s).

When should I use K-EXAONE (Reasoning) vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: K-EXAONE (Reasoning) 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.