Compare/K-EXAONE (Non-reasoning) vs gpt-oss-120B (high)

K-EXAONE (Non-reasoning)vsgpt-oss-120B (high)

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

LG AI Research

K-EXAONE (Non-reasoning)

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

gpt-oss-120B (high)

Input
$0.15/M
Output
$0.6/M
Speed
235 tok/s
TTFT
0.50s

Winner by Category

Cheaper
K-EXAONE (Non-reasoning)
Faster (tok/s)
gpt-oss-120B (high)
Lower Latency
K-EXAONE (Non-reasoning)
Benchmarks (1-10)
gpt-oss-120B (high)

Pricing Comparison

MetricK-EXAONE (Non-reasoning)gpt-oss-120B (high)
Input ($/M tokens)$0$0.15
Output ($/M tokens)$0$0.6
Cost for 1M input + 100K output tokens:
K-EXAONE (Non-reasoning)$0.00
gpt-oss-120B (high)$0.21

Speed Comparison

Output Speed (tokens/s) — higher is better
K-EXAONE (Non-reasoning)
gpt-oss-120B (high)
235 tok/s
Time to First Token (seconds) — lower is better
K-EXAONE (Non-reasoning)
gpt-oss-120B (high)
0.50s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.433.3
Coding Index
13.528.6
Math Index
44.093.4
GPQA Diamond
69.5%78.2%
MMLU-Pro
81.0%80.8%
LiveCodeBench
87.8%
AIME 2025
44.0%93.4%
MATH-500
Humanity's Last Exam
5.4%18.5%
SciCode
27.0%38.9%
IFBench
39.6%69.0%
TerminalBench
6.8%23.5%
K-EXAONE (Non-reasoning)1 wins
10 winsgpt-oss-120B (high)

Frequently Asked Questions

Which is cheaper, K-EXAONE (Non-reasoning) or gpt-oss-120B (high)?

K-EXAONE (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.26/M for gpt-oss-120B (high).

Which model performs better on benchmarks?

gpt-oss-120B (high) wins 10 out of 12 benchmarks compared to 1 for K-EXAONE (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-120B (high) generates tokens faster at 235 tok/s vs 0 tok/s. K-EXAONE (Non-reasoning) also has lower time-to-first-token (0.00s vs 0.50s).

When should I use K-EXAONE (Non-reasoning) vs gpt-oss-120B (high)?

Choose based on your priorities: K-EXAONE (Non-reasoning) for lower cost, gpt-oss-120B (high) for stronger benchmark performance, and gpt-oss-120B (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.