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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.
💰Qwen: Qwen2.5 VL 32B Instruct is 50% cheaper than NVIDIA: Llama 3.3 Nemotron Super 49B V1.5
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 100% cheaper
| Spec | NVIDIA: Llama 3.3 Nemotron Super 49B V1.5 | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | nvidia | qwen |
| Input price / 1M tokens | $0.40 | $0.20 |
| Output price / 1M tokens | $0.40 | $0.60 |
| Context window | 131k tokens | 128k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
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...
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including object recognition, textual...
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