Compare/Mi:dm K 2.5 Pro vs gpt-oss-120B (low)

Mi:dm K 2.5 Provsgpt-oss-120B (low)

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

Korea Telecom

Mi:dm K 2.5 Pro

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

gpt-oss-120B (low)

Input
$0.15/M
Output
$0.6/M
Speed
255 tok/s
TTFT
0.51s

Winner by Category

Cheaper
Mi:dm K 2.5 Pro
Faster (tok/s)
gpt-oss-120B (low)
Lower Latency
Mi:dm K 2.5 Pro
Benchmarks (5-6)
gpt-oss-120B (low)

Pricing Comparison

MetricMi:dm K 2.5 Progpt-oss-120B (low)
Input ($/M tokens)$0$0.15
Output ($/M tokens)$0$0.6
Cost for 1M input + 100K output tokens:
Mi:dm K 2.5 Pro$0.00
gpt-oss-120B (low)$0.21

Speed Comparison

Output Speed (tokens/s) — higher is better
Mi:dm K 2.5 Pro
gpt-oss-120B (low)
255 tok/s
Time to First Token (seconds) — lower is better
Mi:dm K 2.5 Pro
gpt-oss-120B (low)
0.51s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.124.5
Coding Index
12.615.5
Math Index
76.766.7
GPQA Diamond
70.1%67.2%
MMLU-Pro
80.9%77.5%
LiveCodeBench
65.6%70.7%
AIME 2025
76.7%66.7%
MATH-500
Humanity's Last Exam
7.7%5.2%
SciCode
33.2%36.0%
IFBench
49.3%58.3%
TerminalBench
2.3%5.3%
Mi:dm K 2.5 Pro5 wins
6 winsgpt-oss-120B (low)

Frequently Asked Questions

Which is cheaper, Mi:dm K 2.5 Pro or gpt-oss-120B (low)?

Mi:dm K 2.5 Pro is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.26/M for gpt-oss-120B (low).

Which model performs better on benchmarks?

gpt-oss-120B (low) wins 6 out of 12 benchmarks compared to 5 for Mi:dm K 2.5 Pro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

gpt-oss-120B (low) generates tokens faster at 255 tok/s vs 0 tok/s. Mi:dm K 2.5 Pro also has lower time-to-first-token (0.00s vs 0.51s).

When should I use Mi:dm K 2.5 Pro vs gpt-oss-120B (low)?

Choose based on your priorities: Mi:dm K 2.5 Pro for lower cost, gpt-oss-120B (low) for stronger benchmark performance, and gpt-oss-120B (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.