Compare/K2-V2 (medium) vs gpt-oss-20B (high)

K2-V2 (medium)vsgpt-oss-20B (high)

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

MBZUAI Institute of Foundation Models

K2-V2 (medium)

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
K2-V2 (medium)
Faster (tok/s)
gpt-oss-20B (high)
Lower Latency
K2-V2 (medium)
Benchmarks (1-10)
gpt-oss-20B (high)

Pricing Comparison

MetricK2-V2 (medium)gpt-oss-20B (high)
Input ($/M tokens)$0$0.05
Output ($/M tokens)$0$0.2
Cost for 1M input + 100K output tokens:
K2-V2 (medium)$0.00
gpt-oss-20B (high)$0.07

Speed Comparison

Output Speed (tokens/s) — higher is better
K2-V2 (medium)
gpt-oss-20B (high)
260 tok/s
Time to First Token (seconds) — lower is better
K2-V2 (medium)
gpt-oss-20B (high)
0.40s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.724.5
Coding Index
14.018.5
Math Index
64.789.3
GPQA Diamond
59.8%68.8%
MMLU-Pro
76.1%74.8%
LiveCodeBench
54.1%77.7%
AIME 2025
64.7%89.3%
MATH-500
Humanity's Last Exam
4.4%9.8%
SciCode
25.2%34.4%
IFBench
55.1%65.1%
TerminalBench
8.3%10.6%
K2-V2 (medium)1 wins
10 winsgpt-oss-20B (high)

Frequently Asked Questions

Which is cheaper, K2-V2 (medium) or gpt-oss-20B (high)?

K2-V2 (medium) 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 10 out of 12 benchmarks compared to 1 for K2-V2 (medium). 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. K2-V2 (medium) also has lower time-to-first-token (0.00s vs 0.40s).

When should I use K2-V2 (medium) vs gpt-oss-20B (high)?

Choose based on your priorities: K2-V2 (medium) 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.