Google: Gemma 3 4B vs NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Head-to-head API cost, context, and performance comparison. Synced at 2:35:09 PM.
Executive Summary
When evaluating Google: Gemma 3 4B against NVIDIA: Llama 3.3 Nemotron Super 49B V1.5, the pricing structure is a key differentiator. Google: Gemma 3 4B is approximately 76% more cost-effective per 1 million tokens overall.
However, when looking at raw reasoning capabilities, NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 leads with a statistical ELO score of 1045. For tasks involving complex logic, coding, or instruction-following, developers might prefer NVIDIA: Llama 3.3 Nemotron Super 49B V1.5, provided their budget allows for the API burn rate.
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Raw Technical comparison
Verdict
If you are looking for pure performance and capability, Tie is statistically superior. However, if API burn rate is the primary concern, Google: Gemma 3 4B wins out aggressively in pricing.
People Also Ask
Is Google: Gemma 3 4B cheaper than NVIDIA: Llama 3.3 Nemotron Super 49B V1.5?
Yes. Google: Gemma 3 4B is cheaper for both input and output generation compared to NVIDIA: Llama 3.3 Nemotron Super 49B V1.5. Exploring alternatives often yields cost reductions.
Which model has the larger context window?
Both models offer an identical context window of 131,072 tokens.