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

Llama Nemotron Super 49B v1.5 (Non-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 (Non-reasoning)

Input
$0.1/M
Output
$0.4/M
Speed
51 tok/s
TTFT
0.23s
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 (Non-reasoning)
Benchmarks (1-11)
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

Pricing Comparison

MetricLlama Nemotron Super 49B v1.5 (Non-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 (Non-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 (Non-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 (Non-reasoning)
0.23s
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)
3.39s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
14.621.6
Coding Index
10.518.1
Math Index
8.068.7
GPQA Diamond
48.1%70.9%
MMLU-Pro
69.2%80.8%
LiveCodeBench
29.0%68.8%
AIME 2025
8.0%68.7%
MATH-500
77.0%
Humanity's Last Exam
4.3%6.6%
SciCode
23.8%28.7%
IFBench
32.9%52.6%
TerminalBench
3.8%12.9%
Llama Nemotron Super 49B v1.5 (Non-reasoning)1 wins
11 winsGemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

Frequently Asked Questions

Which is cheaper, Llama Nemotron Super 49B v1.5 (Non-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?

Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) wins 11 out of 12 benchmarks compared to 1 for Llama Nemotron Super 49B v1.5 (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) (Reasoning) generates tokens faster at 365 tok/s vs 51 tok/s. Llama Nemotron Super 49B v1.5 (Non-reasoning) also has lower time-to-first-token (0.23s vs 3.39s).

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

Choose based on your priorities: both are similarly priced, Gemini 2.5 Flash-Lite Preview (Sep '25) (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.