Compare/EXAONE 4.5 33B vs GPT-5.4 mini (medium)

EXAONE 4.5 33BvsGPT-5.4 mini (medium)

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

LG AI Research

EXAONE 4.5 33B

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

GPT-5.4 mini (medium)

Input
$0.75/M
Output
$4.5/M
Speed
161 tok/s
TTFT
3.94s

Winner by Category

Cheaper
EXAONE 4.5 33B
Faster (tok/s)
GPT-5.4 mini (medium)
Lower Latency
EXAONE 4.5 33B
Benchmarks (0-7)
GPT-5.4 mini (medium)

Pricing Comparison

MetricEXAONE 4.5 33BGPT-5.4 mini (medium)
Input ($/M tokens)$0$0.75
Output ($/M tokens)$0$4.5
Cost for 1M input + 100K output tokens:
EXAONE 4.5 33B$0.00
GPT-5.4 mini (medium)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
EXAONE 4.5 33B
GPT-5.4 mini (medium)
161 tok/s
Time to First Token (seconds) — lower is better
EXAONE 4.5 33B
GPT-5.4 mini (medium)
3.94s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
30.237.7
Coding Index
23.037.5
Math Index
GPQA Diamond
79.4%82.3%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
11.6%17.1%
SciCode
28.0%44.2%
IFBench
58.0%64.8%
TerminalBench
20.5%34.1%
EXAONE 4.5 33B0 wins
7 winsGPT-5.4 mini (medium)

Frequently Asked Questions

Which is cheaper, EXAONE 4.5 33B or GPT-5.4 mini (medium)?

EXAONE 4.5 33B is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $1.69/M for GPT-5.4 mini (medium).

Which model performs better on benchmarks?

GPT-5.4 mini (medium) wins 7 out of 12 benchmarks compared to 0 for EXAONE 4.5 33B. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (medium) generates tokens faster at 161 tok/s vs 0 tok/s. EXAONE 4.5 33B also has lower time-to-first-token (0.00s vs 3.94s).

When should I use EXAONE 4.5 33B vs GPT-5.4 mini (medium)?

Choose based on your priorities: EXAONE 4.5 33B for lower cost, GPT-5.4 mini (medium) for stronger benchmark performance, and GPT-5.4 mini (medium) for faster generation. For latency-sensitive apps, check the TTFT comparison above.