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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰Google: Gemma 2 9B is 93% cheaper than NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Google: Gemma 2 9B is 1233% cheaper
| Spec | Google: Gemma 2 9B | NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 |
|---|---|---|
| Provider | nvidia | |
| Input price / 1M tokens | $0.03 | $0.40 |
| Output price / 1M tokens | $0.09 | $0.40 |
| Context window | 8k tokens | 131k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
Gemma 2 9B by Google is an advanced, open-source language model that sets a new standard for efficiency and performance in its size class. Designed for a wide variety of...
Llama-3.3-Nemotron-Super-49B-v1.5 is a 49B-parameter, English-centric reasoning/chat model derived from Meta’s Llama-3.3-70B-Instruct with a 128K context. It’s post-trained for agentic workflows (RAG, tool calling) via SFT across math, code, science, and...
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