Compare/EXAONE 4.5 33B vs gpt-oss-120B (high)

EXAONE 4.5 33Bvsgpt-oss-120B (high)

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-oss-120B (high)

Input
$0.15/M
Output
$0.6/M
Speed
223 tok/s
TTFT
0.44s

Winner by Category

Cheaper
EXAONE 4.5 33B
Faster (tok/s)
gpt-oss-120B (high)
Lower Latency
EXAONE 4.5 33B
Benchmarks (1-10)
gpt-oss-120B (high)

Pricing Comparison

MetricEXAONE 4.5 33Bgpt-oss-120B (high)
Input ($/M tokens)$0$0.15
Output ($/M tokens)$0$0.6
Cost for 1M input + 100K output tokens:
EXAONE 4.5 33B$0.00
gpt-oss-120B (high)$0.21

Speed Comparison

Output Speed (tokens/s) — higher is better
EXAONE 4.5 33B
gpt-oss-120B (high)
223 tok/s
Time to First Token (seconds) — lower is better
EXAONE 4.5 33B
gpt-oss-120B (high)
0.44s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
30.233.3
Coding Index
23.028.6
Math Index
93.4
GPQA Diamond
79.4%78.2%
MMLU-Pro
80.8%
LiveCodeBench
87.8%
AIME 2025
93.4%
MATH-500
Humanity's Last Exam
11.6%18.5%
SciCode
28.0%38.9%
IFBench
58.0%69.0%
TerminalBench
20.5%23.5%
EXAONE 4.5 33B1 wins
10 winsgpt-oss-120B (high)

Frequently Asked Questions

Which is cheaper, EXAONE 4.5 33B or gpt-oss-120B (high)?

EXAONE 4.5 33B 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 EXAONE 4.5 33B. 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 223 tok/s vs 0 tok/s. EXAONE 4.5 33B also has lower time-to-first-token (0.00s vs 0.44s).

When should I use EXAONE 4.5 33B vs gpt-oss-120B (high)?

Choose based on your priorities: EXAONE 4.5 33B 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.