Compare/GPT-5 nano (high) vs Llama Nemotron Super 49B v1.5 (Reasoning)

GPT-5 nano (high)vsLlama Nemotron Super 49B v1.5 (Reasoning)

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

OpenAI

GPT-5 nano (high)

Input
$0.05/M
Output
$0.4/M
Speed
133 tok/s
TTFT
95.74s
NVIDIA

Llama Nemotron Super 49B v1.5 (Reasoning)

Input
$0.1/M
Output
$0.4/M
Speed
53 tok/s
TTFT
0.34s

Winner by Category

Cheaper
GPT-5 nano (high)
Faster (tok/s)
GPT-5 nano (high)
Lower Latency
Llama Nemotron Super 49B v1.5 (Reasoning)
Benchmarks (9-3)
GPT-5 nano (high)

Pricing Comparison

MetricGPT-5 nano (high)Llama Nemotron Super 49B v1.5 (Reasoning)
Input ($/M tokens)$0.05$0.1
Output ($/M tokens)$0.4$0.4
Cost for 1M input + 100K output tokens:
GPT-5 nano (high)$0.09
Llama Nemotron Super 49B v1.5 (Reasoning)$0.14

Speed Comparison

Output Speed (tokens/s) — higher is better
GPT-5 nano (high)
133 tok/s
Llama Nemotron Super 49B v1.5 (Reasoning)
53 tok/s
Time to First Token (seconds) — lower is better
GPT-5 nano (high)
95.74s
Llama Nemotron Super 49B v1.5 (Reasoning)
0.34s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
26.818.7
Coding Index
20.315.2
Math Index
83.776.7
GPQA Diamond
67.6%74.8%
MMLU-Pro
78.0%81.4%
LiveCodeBench
78.9%73.7%
AIME 2025
83.7%76.7%
MATH-500
98.3%
Humanity's Last Exam
8.2%6.8%
SciCode
36.6%34.8%
IFBench
67.6%37.0%
TerminalBench
12.1%5.3%
GPT-5 nano (high)9 wins
3 winsLlama Nemotron Super 49B v1.5 (Reasoning)

Frequently Asked Questions

Which is cheaper, GPT-5 nano (high) or Llama Nemotron Super 49B v1.5 (Reasoning)?

GPT-5 nano (high) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.14/M tokens vs $0.17/M for Llama Nemotron Super 49B v1.5 (Reasoning).

Which model performs better on benchmarks?

GPT-5 nano (high) wins 9 out of 12 benchmarks compared to 3 for Llama Nemotron Super 49B v1.5 (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GPT-5 nano (high) generates tokens faster at 133 tok/s vs 53 tok/s. However, Llama Nemotron Super 49B v1.5 (Reasoning) has lower time-to-first-token (0.34s vs 95.74s).

When should I use GPT-5 nano (high) vs Llama Nemotron Super 49B v1.5 (Reasoning)?

Choose based on your priorities: GPT-5 nano (high) for lower cost, GPT-5 nano (high) for stronger benchmark performance, and GPT-5 nano (high) for faster generation. For latency-sensitive apps, check the TTFT comparison above.