Compare/Gemini 1.0 Pro vs GPT-5.4 mini (xhigh)

Gemini 1.0 ProvsGPT-5.4 mini (xhigh)

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

Google

Gemini 1.0 Pro

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

GPT-5.4 mini (xhigh)

Input
$0.75/M
Output
$4.5/M
Speed
219 tok/s
TTFT
3.82s

Winner by Category

Cheaper
Gemini 1.0 Pro
Faster (tok/s)
GPT-5.4 mini (xhigh)
Lower Latency
Gemini 1.0 Pro
Benchmarks (3-7)
GPT-5.4 mini (xhigh)

Pricing Comparison

MetricGemini 1.0 ProGPT-5.4 mini (xhigh)
Input ($/M tokens)$0$0.75
Output ($/M tokens)$0$4.5
Cost for 1M input + 100K output tokens:
Gemini 1.0 Pro$0.00
GPT-5.4 mini (xhigh)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
Gemini 1.0 Pro
GPT-5.4 mini (xhigh)
219 tok/s
Time to First Token (seconds) — lower is better
Gemini 1.0 Pro
GPT-5.4 mini (xhigh)
3.82s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
8.548.1
Coding Index
51.5
Math Index
GPQA Diamond
27.7%87.5%
MMLU-Pro
43.1%
LiveCodeBench
11.6%
AIME 2025
MATH-500
40.3%
Humanity's Last Exam
4.6%26.6%
SciCode
11.7%49.9%
IFBench
73.3%
TerminalBench
52.3%
Gemini 1.0 Pro3 wins
7 winsGPT-5.4 mini (xhigh)

Frequently Asked Questions

Which is cheaper, Gemini 1.0 Pro or GPT-5.4 mini (xhigh)?

Gemini 1.0 Pro is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $1.69/M for GPT-5.4 mini (xhigh).

Which model performs better on benchmarks?

GPT-5.4 mini (xhigh) wins 7 out of 12 benchmarks compared to 3 for Gemini 1.0 Pro. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (xhigh) generates tokens faster at 219 tok/s vs 0 tok/s. Gemini 1.0 Pro also has lower time-to-first-token (0.00s vs 3.82s).

When should I use Gemini 1.0 Pro vs GPT-5.4 mini (xhigh)?

Choose based on your priorities: Gemini 1.0 Pro for lower cost, GPT-5.4 mini (xhigh) for stronger benchmark performance, and GPT-5.4 mini (xhigh) for faster generation. For latency-sensitive apps, check the TTFT comparison above.