Compare/K2-V2 (low) vs GPT-5.4 (Non-reasoning)

K2-V2 (low)vsGPT-5.4 (Non-reasoning)

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

MBZUAI Institute of Foundation Models

K2-V2 (low)

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

GPT-5.4 (Non-reasoning)

Input
$2.5/M
Output
$15/M
Speed
61 tok/s
TTFT
0.65s

Winner by Category

Cheaper
K2-V2 (low)
Faster (tok/s)
GPT-5.4 (Non-reasoning)
Lower Latency
K2-V2 (low)
Benchmarks (4-7)
GPT-5.4 (Non-reasoning)

Pricing Comparison

MetricK2-V2 (low)GPT-5.4 (Non-reasoning)
Input ($/M tokens)$0$2.5
Output ($/M tokens)$0$15
Cost for 1M input + 100K output tokens:
K2-V2 (low)$0.00
GPT-5.4 (Non-reasoning)$4.00

Speed Comparison

Output Speed (tokens/s) — higher is better
K2-V2 (low)
GPT-5.4 (Non-reasoning)
61 tok/s
Time to First Token (seconds) — lower is better
K2-V2 (low)
GPT-5.4 (Non-reasoning)
0.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
14.435.4
Coding Index
10.541.0
Math Index
35.3
GPQA Diamond
54.1%74.8%
MMLU-Pro
71.3%
LiveCodeBench
39.3%
AIME 2025
35.3%
MATH-500
Humanity's Last Exam
3.9%10.6%
SciCode
22.3%47.1%
IFBench
41.0%48.4%
TerminalBench
4.5%37.9%
K2-V2 (low)4 wins
7 winsGPT-5.4 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, K2-V2 (low) or GPT-5.4 (Non-reasoning)?

K2-V2 (low) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $5.63/M for GPT-5.4 (Non-reasoning).

Which model performs better on benchmarks?

GPT-5.4 (Non-reasoning) wins 7 out of 12 benchmarks compared to 4 for K2-V2 (low). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 (Non-reasoning) generates tokens faster at 61 tok/s vs 0 tok/s. K2-V2 (low) also has lower time-to-first-token (0.00s vs 0.65s).

When should I use K2-V2 (low) vs GPT-5.4 (Non-reasoning)?

Choose based on your priorities: K2-V2 (low) for lower cost, GPT-5.4 (Non-reasoning) for stronger benchmark performance, and GPT-5.4 (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.