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

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

Input
$0.1/M
Output
$0.4/M
Speed
344 tok/s
TTFT
0.36s

Winner by Category

Cheaper
Tie
Faster (tok/s)
Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-reasoning)
Lower Latency
Llama Nemotron Super 49B v1.5 (Reasoning)
Benchmarks (9-3)
Llama Nemotron Super 49B v1.5 (Reasoning)

Pricing Comparison

MetricLlama Nemotron Super 49B v1.5 (Reasoning)Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-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) (Non-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) (Non-reasoning)
344 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) (Non-reasoning)
0.36s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
18.719.4
Coding Index
15.214.5
Math Index
76.746.7
GPQA Diamond
74.8%65.1%
MMLU-Pro
81.4%79.6%
LiveCodeBench
73.7%64.1%
AIME 2025
76.7%46.7%
MATH-500
98.3%
Humanity's Last Exam
6.8%4.6%
SciCode
34.8%28.5%
IFBench
37.0%41.8%
TerminalBench
5.3%7.6%
Llama Nemotron Super 49B v1.5 (Reasoning)9 wins
3 winsGemini 2.5 Flash-Lite Preview (Sep '25) (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Llama Nemotron Super 49B v1.5 (Reasoning) or Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-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 9 out of 12 benchmarks compared to 3 for Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-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) (Non-reasoning) generates tokens faster at 344 tok/s vs 51 tok/s. Llama Nemotron Super 49B v1.5 (Reasoning) also has lower time-to-first-token (0.25s vs 0.36s).

When should I use Llama Nemotron Super 49B v1.5 (Reasoning) vs Gemini 2.5 Flash-Lite Preview (Sep '25) (Non-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) (Non-reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.