Compare/R1 1776 vs GPT-5.4 mini (Non-Reasoning)

R1 1776vsGPT-5.4 mini (Non-Reasoning)

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

Perplexity

R1 1776

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

GPT-5.4 mini (Non-Reasoning)

Input
$0.75/M
Output
$4.5/M
Speed
202 tok/s
TTFT
0.45s

Winner by Category

Cheaper
R1 1776
Faster (tok/s)
GPT-5.4 mini (Non-Reasoning)
Lower Latency
R1 1776
Benchmarks (1-7)
GPT-5.4 mini (Non-Reasoning)

Pricing Comparison

MetricR1 1776GPT-5.4 mini (Non-Reasoning)
Input ($/M tokens)$0$0.75
Output ($/M tokens)$0$4.5
Cost for 1M input + 100K output tokens:
R1 1776$0.00
GPT-5.4 mini (Non-Reasoning)$1.20

Speed Comparison

Output Speed (tokens/s) — higher is better
R1 1776
GPT-5.4 mini (Non-Reasoning)
202 tok/s
Time to First Token (seconds) — lower is better
R1 1776
GPT-5.4 mini (Non-Reasoning)
0.45s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
12.023.3
Coding Index
25.3
Math Index
GPQA Diamond
60.6%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
95.4%
Humanity's Last Exam
5.7%
SciCode
39.6%
IFBench
38.8%
TerminalBench
18.2%
R1 17761 wins
7 winsGPT-5.4 mini (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, R1 1776 or GPT-5.4 mini (Non-Reasoning)?

R1 1776 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 (Non-Reasoning).

Which model performs better on benchmarks?

GPT-5.4 mini (Non-Reasoning) wins 7 out of 12 benchmarks compared to 1 for R1 1776. See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 mini (Non-Reasoning) generates tokens faster at 202 tok/s vs 0 tok/s. R1 1776 also has lower time-to-first-token (0.00s vs 0.45s).

When should I use R1 1776 vs GPT-5.4 mini (Non-Reasoning)?

Choose based on your priorities: R1 1776 for lower cost, GPT-5.4 mini (Non-Reasoning) for stronger benchmark performance, and GPT-5.4 mini (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.