Compare/Ling-mini-2.0 vs GPT-5.4 nano (xhigh)

Ling-mini-2.0vsGPT-5.4 nano (xhigh)

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

InclusionAI

Ling-mini-2.0

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

GPT-5.4 nano (xhigh)

Input
$0.2/M
Output
$1.25/M
Speed
206 tok/s
TTFT
2.52s

Winner by Category

Cheaper
Ling-mini-2.0
Faster (tok/s)
GPT-5.4 nano (xhigh)
Lower Latency
Ling-mini-2.0
Benchmarks (4-7)
GPT-5.4 nano (xhigh)

Pricing Comparison

MetricLing-mini-2.0GPT-5.4 nano (xhigh)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Ling-mini-2.0$0.00
GPT-5.4 nano (xhigh)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Ling-mini-2.0
GPT-5.4 nano (xhigh)
206 tok/s
Time to First Token (seconds) — lower is better
Ling-mini-2.0
GPT-5.4 nano (xhigh)
2.52s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.244.4
Coding Index
5.043.9
Math Index
49.3
GPQA Diamond
56.2%81.7%
MMLU-Pro
67.1%
LiveCodeBench
42.9%
AIME 2025
49.3%
MATH-500
Humanity's Last Exam
5.0%26.5%
SciCode
13.5%46.9%
IFBench
23.6%75.9%
TerminalBench
0.8%42.4%
Ling-mini-2.04 wins
7 winsGPT-5.4 nano (xhigh)

Frequently Asked Questions

Which is cheaper, Ling-mini-2.0 or GPT-5.4 nano (xhigh)?

Ling-mini-2.0 is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $0.46/M for GPT-5.4 nano (xhigh).

Which model performs better on benchmarks?

GPT-5.4 nano (xhigh) wins 7 out of 12 benchmarks compared to 4 for Ling-mini-2.0. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (xhigh) generates tokens faster at 206 tok/s vs 0 tok/s. Ling-mini-2.0 also has lower time-to-first-token (0.00s vs 2.52s).

When should I use Ling-mini-2.0 vs GPT-5.4 nano (xhigh)?

Choose based on your priorities: Ling-mini-2.0 for lower cost, GPT-5.4 nano (xhigh) for stronger benchmark performance, and GPT-5.4 nano (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.