Loading...
Loading...
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 93% cheaper than Sao10K: Llama 3.1 70B Hanami x1
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 1400% cheaper
| Spec | Qwen: Qwen2.5 VL 32B Instruct | Sao10K: Llama 3.1 70B Hanami x1 |
|---|---|---|
| Provider | qwen | sao10k |
| Input price / 1M tokens | $0.20 | $3.00 |
| Output price / 1M tokens | $0.60 | $3.00 |
| Context window | 128k tokens | 16k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
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...
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
Want to swap in a different model or estimate monthly costs?