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

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

Input
$0.1/M
Output
$0.4/M
Speed
51 tok/s
TTFT
0.23s

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 (11-1)
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)

Pricing Comparison

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

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
21.614.6
Coding Index
18.110.5
Math Index
68.78.0
GPQA Diamond
70.9%48.1%
MMLU-Pro
80.8%69.2%
LiveCodeBench
68.8%29.0%
AIME 2025
68.7%8.0%
MATH-500
77.0%
Humanity's Last Exam
6.6%4.3%
SciCode
28.7%23.8%
IFBench
52.6%32.9%
TerminalBench
12.9%3.8%
Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning)11 wins
1 winsLlama Nemotron Super 49B v1.5 (Non-reasoning)

Frequently Asked Questions

Which is cheaper, Gemini 2.5 Flash-Lite Preview (Sep '25) (Reasoning) or Llama Nemotron Super 49B v1.5 (Non-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. However, Llama Nemotron Super 49B v1.5 (Non-reasoning) has lower time-to-first-token (0.23s vs 3.39s).

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