Compare/Nova 2.0 Lite (high) vs GPT-5.4 (xhigh)

Nova 2.0 Lite (high)vsGPT-5.4 (xhigh)

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

Amazon

Nova 2.0 Lite (high)

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

GPT-5.4 (xhigh)

Input
$2.5/M
Output
$15/M
Speed
82 tok/s
TTFT
161.00s

Winner by Category

Cheaper
Nova 2.0 Lite (high)
Faster (tok/s)
GPT-5.4 (xhigh)
Lower Latency
Nova 2.0 Lite (high)
Benchmarks (4-7)
GPT-5.4 (xhigh)

Pricing Comparison

MetricNova 2.0 Lite (high)GPT-5.4 (xhigh)
Input ($/M tokens)$0$2.5
Output ($/M tokens)$0$15
Cost for 1M input + 100K output tokens:
Nova 2.0 Lite (high)$0.00
GPT-5.4 (xhigh)$4.00

Speed Comparison

Output Speed (tokens/s) — higher is better
Nova 2.0 Lite (high)
GPT-5.4 (xhigh)
82 tok/s
Time to First Token (seconds) — lower is better
Nova 2.0 Lite (high)
GPT-5.4 (xhigh)
161.00s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
34.557.2
Coding Index
23.457.3
Math Index
94.3
GPQA Diamond
81.1%92.0%
MMLU-Pro
81.8%
LiveCodeBench
71.1%
AIME 2025
94.3%
MATH-500
Humanity's Last Exam
10.9%41.6%
SciCode
36.9%56.6%
IFBench
70.7%73.9%
TerminalBench
16.7%57.6%
Nova 2.0 Lite (high)4 wins
7 winsGPT-5.4 (xhigh)

Frequently Asked Questions

Which is cheaper, Nova 2.0 Lite (high) or GPT-5.4 (xhigh)?

Nova 2.0 Lite (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.00/M tokens vs $5.63/M for GPT-5.4 (xhigh).

Which model performs better on benchmarks?

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

Which is faster for real-time applications?

GPT-5.4 (xhigh) generates tokens faster at 82 tok/s vs 0 tok/s. Nova 2.0 Lite (high) also has lower time-to-first-token (0.00s vs 161.00s).

When should I use Nova 2.0 Lite (high) vs GPT-5.4 (xhigh)?

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