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

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

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 (medium)

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

Winner by Category

Cheaper
K-EXAONE (Reasoning)
Faster (tok/s)
GPT-5.4 nano (medium)
Lower Latency
K-EXAONE (Reasoning)
Benchmarks (6-5)
K-EXAONE (Reasoning)

Pricing Comparison

MetricK-EXAONE (Reasoning)GPT-5.4 nano (medium)
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 (medium)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
K-EXAONE (Reasoning)
GPT-5.4 nano (medium)
171 tok/s
Time to First Token (seconds) — lower is better
K-EXAONE (Reasoning)
GPT-5.4 nano (medium)
2.38s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
32.138.1
Coding Index
27.035.0
Math Index
90.3
GPQA Diamond
78.3%76.1%
MMLU-Pro
83.8%
LiveCodeBench
76.8%
AIME 2025
90.3%
MATH-500
Humanity's Last Exam
13.1%14.7%
SciCode
35.6%38.4%
IFBench
64.7%64.4%
TerminalBench
22.7%33.3%
K-EXAONE (Reasoning)6 wins
5 winsGPT-5.4 nano (medium)

Frequently Asked Questions

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

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 (medium).

Which model performs better on benchmarks?

K-EXAONE (Reasoning) wins 6 out of 12 benchmarks compared to 5 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 0 tok/s. K-EXAONE (Reasoning) also has lower time-to-first-token (0.00s vs 2.38s).

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

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