Compare/Llama Nemotron Super 49B v1.5 (Reasoning) vs Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

Llama Nemotron Super 49B v1.5 (Reasoning)vsGemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

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

NVIDIA

Llama Nemotron Super 49B v1.5 (Reasoning)

Input
$0.1/M
Output
$0.4/M
Speed
51 tok/s
TTFT
0.25s
Google

Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

Input
$0.1/M
Output
$0.4/M
Speed
365 tok/s
TTFT
3.39s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)
Lower Latency
Llama Nemotron Super 49B v1.5 (Reasoning)
Benchmarks (8-4)
Llama Nemotron Super 49B v1.5 (Reasoning)

Pricing Comparison

MetricLlama Nemotron Super 49B v1.5 (Reasoning)Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)
Input ($/M tokens)$0.1$0.1
Output ($/M tokens)$0.4$0.4
Cost for 1M input + 100K output tokens:
Llama Nemotron Super 49B v1.5 (Reasoning)$0.14
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)$0.14

Speed Comparison

Output Speed (tokens/s) — higher is better
Llama Nemotron Super 49B v1.5 (Reasoning)
51 tok/s
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)
365 tok/s
Time to First Token (seconds) — lower is better
Llama Nemotron Super 49B v1.5 (Reasoning)
0.25s
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)
3.39s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.721.6
Coding Index
15.218.1
Math Index
76.768.7
GPQA Diamond
74.8%70.9%
MMLU-Pro
81.4%80.8%
LiveCodeBench
73.7%68.8%
AIME 2025
76.7%68.7%
MATH-500
98.3%
Humanity's Last Exam
6.8%6.6%
SciCode
34.8%28.7%
IFBench
37.0%52.6%
TerminalBench
5.3%12.9%
Llama Nemotron Super 49B v1.5 (Reasoning)8 wins
4 winsGemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

Frequently Asked Questions

Which is cheaper, Llama Nemotron Super 49B v1.5 (Reasoning) or Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)?

Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.

Which model performs better on benchmarks?

Llama Nemotron Super 49B v1.5 (Reasoning) wins 8 out of 12 benchmarks compared to 4 for Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) generates tokens faster at 365 tok/s vs 51 tok/s. Llama Nemotron Super 49B v1.5 (Reasoning) also has lower time-to-first-token (0.25s vs 3.39s).

When should I use Llama Nemotron Super 49B v1.5 (Reasoning) vs Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)?

Choose based on your priorities: both are similarly priced, Llama Nemotron Super 49B v1.5 (Reasoning) for stronger benchmark performance, and Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.