Compare/K2-V2 (medium) vs gpt-oss-120B (low)

K2-V2 (medium)vsgpt-oss-120B (low)

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-120B (low)

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

Winner by Category

Cheaper
K2-V2 (medium)
Faster (tok/s)
gpt-oss-120B (low)
Lower Latency
K2-V2 (medium)
Benchmarks (1-10)
gpt-oss-120B (low)

Pricing Comparison

MetricK2-V2 (medium)gpt-oss-120B (low)
Input ($/M tokens)$0$0.15
Output ($/M tokens)$0$0.6
Cost for 1M input + 100K output tokens:
K2-V2 (medium)$0.00
gpt-oss-120B (low)$0.21

Speed Comparison

Output Speed (tokens/s) — higher is better
K2-V2 (medium)
gpt-oss-120B (low)
255 tok/s
Time to First Token (seconds) — lower is better
K2-V2 (medium)
gpt-oss-120B (low)
0.51s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.724.5
Coding Index
14.015.5
Math Index
64.766.7
GPQA Diamond
59.8%67.2%
MMLU-Pro
76.1%77.5%
LiveCodeBench
54.1%70.7%
AIME 2025
64.7%66.7%
MATH-500
Humanity's Last Exam
4.4%5.2%
SciCode
25.2%36.0%
IFBench
55.1%58.3%
TerminalBench
8.3%5.3%
K2-V2 (medium)1 wins
10 winsgpt-oss-120B (low)

Frequently Asked Questions

Which is cheaper, K2-V2 (medium) or gpt-oss-120B (low)?

K2-V2 (medium) 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 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-120B (low) generates tokens faster at 255 tok/s vs 0 tok/s. K2-V2 (medium) also has lower time-to-first-token (0.00s vs 0.51s).

When should I use K2-V2 (medium) vs gpt-oss-120B (low)?

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