Compare/Exaone 4.0 1.2B (Non-reasoning) vs o3

Exaone 4.0 1.2B (Non-reasoning)vso3

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

LG AI Research

Exaone 4.0 1.2B (Non-reasoning)

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

o3

Input
$2/M
Output
$8/M
Speed
125 tok/s
TTFT
6.65s

Winner by Category

Cheaper
Exaone 4.0 1.2B (Non-reasoning)
Faster (tok/s)
o3
Lower Latency
Exaone 4.0 1.2B (Non-reasoning)
Benchmarks (0-11)
o3

Pricing Comparison

MetricExaone 4.0 1.2B (Non-reasoning)o3
Input ($/M tokens)$0$2
Output ($/M tokens)$0$8
Cost for 1M input + 100K output tokens:
Exaone 4.0 1.2B (Non-reasoning)$0.00
o3$2.80

Speed Comparison

Output Speed (tokens/s) — higher is better
Exaone 4.0 1.2B (Non-reasoning)
o3
125 tok/s
Time to First Token (seconds) — lower is better
Exaone 4.0 1.2B (Non-reasoning)
o3
6.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
2.830.4
Coding Index
Math Index
24.088.3
GPQA Diamond
42.4%82.7%
MMLU-Pro
50.0%85.3%
LiveCodeBench
29.3%80.8%
AIME 2025
24.0%88.3%
MATH-500
99.2%
Humanity's Last Exam
5.8%20.0%
SciCode
7.4%41.0%
IFBench
25.3%71.4%
TerminalBench
0.0%37.1%
Exaone 4.0 1.2B (Non-reasoning)0 wins
11 winso3

Frequently Asked Questions

Which is cheaper, Exaone 4.0 1.2B (Non-reasoning) or o3?

Exaone 4.0 1.2B (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $3.50/M for o3.

Which model performs better on benchmarks?

o3 wins 11 out of 12 benchmarks compared to 0 for Exaone 4.0 1.2B (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

o3 generates tokens faster at 125 tok/s vs 0 tok/s. Exaone 4.0 1.2B (Non-reasoning) also has lower time-to-first-token (0.00s vs 6.65s).

When should I use Exaone 4.0 1.2B (Non-reasoning) vs o3?

Choose based on your priorities: Exaone 4.0 1.2B (Non-reasoning) for lower cost, o3 for stronger benchmark performance, and o3 for faster generation. For latency-sensitive apps, check the TTFT comparison above.