Compare/Ling-mini-2.0 vs GPT-5.4 (Non-reasoning)

Ling-mini-2.0vsGPT-5.4 (Non-reasoning)

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 (Non-reasoning)

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

Winner by Category

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

Pricing Comparison

MetricLing-mini-2.0GPT-5.4 (Non-reasoning)
Input ($/M tokens)$0$2.5
Output ($/M tokens)$0$15
Cost for 1M input + 100K output tokens:
Ling-mini-2.0$0.00
GPT-5.4 (Non-reasoning)$4.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Ling-mini-2.0
GPT-5.4 (Non-reasoning)
61 tok/s
Time to First Token (seconds) — lower is better
Ling-mini-2.0
GPT-5.4 (Non-reasoning)
0.65s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
9.235.4
Coding Index
5.041.0
Math Index
49.3
GPQA Diamond
56.2%74.8%
MMLU-Pro
67.1%
LiveCodeBench
42.9%
AIME 2025
49.3%
MATH-500
Humanity's Last Exam
5.0%10.6%
SciCode
13.5%47.1%
IFBench
23.6%48.4%
TerminalBench
0.8%37.9%
Ling-mini-2.04 wins
7 winsGPT-5.4 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Ling-mini-2.0 or GPT-5.4 (Non-reasoning)?

Ling-mini-2.0 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 Ling-mini-2.0. 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. Ling-mini-2.0 also has lower time-to-first-token (0.00s vs 0.65s).

When should I use Ling-mini-2.0 vs GPT-5.4 (Non-reasoning)?

Choose based on your priorities: Ling-mini-2.0 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.