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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.
💰aura-2-es is 100% cheaper than Qwen: Qwen2.5 VL 32B Instruct
⚡Qwen: Qwen2.5 VL 32B Instruct is 59ms faster than aura-2-es
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
aura-2-es is Infinity% cheaper
| Spec | aura-2-es | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | deepgram | qwen |
| Input price / 1M tokens | Free | $0.20 |
| Output price / 1M tokens | — | $0.60 |
| Context window | — | 128k tokens |
| Latency (p50) | 59ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Aura-2 is a context-aware text-to-speech (TTS) model that applies natural pacing, expressiveness, and fillers based on the context of the provided text. The quality of your text input directly impacts the naturalness of the audio output.
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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