Compare/Mi:dm K 2.5 Pro vs gpt-oss-20B (high)

Mi:dm K 2.5 Provsgpt-oss-20B (high)

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-20B (high)

Input
$0.05/M
Output
$0.2/M
Speed
260 tok/s
TTFT
0.40s

Winner by Category

Cheaper
Mi:dm K 2.5 Pro
Faster (tok/s)
gpt-oss-20B (high)
Lower Latency
Mi:dm K 2.5 Pro
Benchmarks (2-9)
gpt-oss-20B (high)

Pricing Comparison

MetricMi:dm K 2.5 Progpt-oss-20B (high)
Input ($/M tokens)$0$0.05
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
Mi:dm K 2.5 Pro$0.00
gpt-oss-20B (high)$0.07

Speed Comparison

Output Speed (tokens/s) — higher is better
Mi:dm K 2.5 Pro
gpt-oss-20B (high)
260 tok/s
Time to First Token (seconds) — lower is better
Mi:dm K 2.5 Pro
gpt-oss-20B (high)
0.40s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.124.5
Coding Index
12.618.5
Math Index
76.789.3
GPQA Diamond
70.1%68.8%
MMLU-Pro
80.9%74.8%
LiveCodeBench
65.6%77.7%
AIME 2025
76.7%89.3%
MATH-500
Humanity's Last Exam
7.7%9.8%
SciCode
33.2%34.4%
IFBench
49.3%65.1%
TerminalBench
2.3%10.6%
Mi:dm K 2.5 Pro2 wins
9 winsgpt-oss-20B (high)

Frequently Asked Questions

Which is cheaper, Mi:dm K 2.5 Pro or gpt-oss-20B (high)?

Mi:dm K 2.5 Pro is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.09/M for gpt-oss-20B (high).

Which model performs better on benchmarks?

gpt-oss-20B (high) wins 9 out of 12 benchmarks compared to 2 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-20B (high) generates tokens faster at 260 tok/s vs 0 tok/s. Mi:dm K 2.5 Pro also has lower time-to-first-token (0.00s vs 0.40s).

When should I use Mi:dm K 2.5 Pro vs gpt-oss-20B (high)?

Choose based on your priorities: Mi:dm K 2.5 Pro for lower cost, gpt-oss-20B (high) for stronger benchmark performance, and gpt-oss-20B (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.