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

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

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

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
NVIDIA

Llama Nemotron Super 49B v1.5 (Reasoning)

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

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 (4-8)
Llama Nemotron Super 49B v1.5 (Reasoning)

Pricing Comparison

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

Speed Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
21.618.7
Coding Index
18.115.2
Math Index
68.776.7
GPQA Diamond
70.9%74.8%
MMLU-Pro
80.8%81.4%
LiveCodeBench
68.8%73.7%
AIME 2025
68.7%76.7%
MATH-500
98.3%
Humanity's Last Exam
6.6%6.8%
SciCode
28.7%34.8%
IFBench
52.6%37.0%
TerminalBench
12.9%5.3%
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)4 wins
8 winsLlama Nemotron Super 49B v1.5 (Reasoning)

Frequently Asked Questions

Which is cheaper, Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) or Llama Nemotron Super 49B v1.5 (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. However, Llama Nemotron Super 49B v1.5 (Reasoning) has lower time-to-first-token (0.25s vs 3.39s).

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