Compare/Llama 3.3 Nemotron Super 49B v1 (Reasoning) vs GPT-5.4 nano (Non-Reasoning)

Llama 3.3 Nemotron Super 49B v1 (Reasoning)vsGPT-5.4 nano (Non-Reasoning)

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

NVIDIA

Llama 3.3 Nemotron Super 49B v1 (Reasoning)

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

GPT-5.4 nano (Non-Reasoning)

Input
$0.2/M
Output
$1.25/M
Speed
177 tok/s
TTFT
0.47s

Winner by Category

Cheaper
Llama 3.3 Nemotron Super 49B v1 (Reasoning)
Faster (tok/s)
GPT-5.4 nano (Non-Reasoning)
Lower Latency
Llama 3.3 Nemotron Super 49B v1 (Reasoning)
Benchmarks (8-4)
Llama 3.3 Nemotron Super 49B v1 (Reasoning)

Pricing Comparison

MetricLlama 3.3 Nemotron Super 49B v1 (Reasoning)GPT-5.4 nano (Non-Reasoning)
Input ($/M tokens)$0$0.2
Output ($/M tokens)$0$1.25
Cost for 1M input + 100K output tokens:
Llama 3.3 Nemotron Super 49B v1 (Reasoning)$0.00
GPT-5.4 nano (Non-Reasoning)$0.33

Speed Comparison

Output Speed (tokens/s) — higher is better
Llama 3.3 Nemotron Super 49B v1 (Reasoning)
GPT-5.4 nano (Non-Reasoning)
177 tok/s
Time to First Token (seconds) — lower is better
Llama 3.3 Nemotron Super 49B v1 (Reasoning)
GPT-5.4 nano (Non-Reasoning)
0.47s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.524.4
Coding Index
9.427.9
Math Index
54.7
GPQA Diamond
64.3%55.8%
MMLU-Pro
78.5%
LiveCodeBench
27.7%
AIME 2025
54.7%
MATH-500
95.9%
Humanity's Last Exam
6.5%4.2%
SciCode
28.2%35.2%
IFBench
38.1%32.7%
TerminalBench
0.0%24.2%
Llama 3.3 Nemotron Super 49B v1 (Reasoning)8 wins
4 winsGPT-5.4 nano (Non-Reasoning)

Frequently Asked Questions

Which is cheaper, Llama 3.3 Nemotron Super 49B v1 (Reasoning) or GPT-5.4 nano (Non-Reasoning)?

Llama 3.3 Nemotron Super 49B v1 (Reasoning) 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 (Non-Reasoning).

Which model performs better on benchmarks?

Llama 3.3 Nemotron Super 49B v1 (Reasoning) wins 8 out of 12 benchmarks compared to 4 for GPT-5.4 nano (Non-Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5.4 nano (Non-Reasoning) generates tokens faster at 177 tok/s vs 0 tok/s. Llama 3.3 Nemotron Super 49B v1 (Reasoning) also has lower time-to-first-token (0.00s vs 0.47s).

When should I use Llama 3.3 Nemotron Super 49B v1 (Reasoning) vs GPT-5.4 nano (Non-Reasoning)?

Choose based on your priorities: Llama 3.3 Nemotron Super 49B v1 (Reasoning) for lower cost, Llama 3.3 Nemotron Super 49B v1 (Reasoning) for stronger benchmark performance, and GPT-5.4 nano (Non-Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.