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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 43% cheaper than gemma-sea-lion-v4-27b-it
⚡Qwen: Qwen2.5 VL 32B Instruct is 206ms faster than gemma-sea-lion-v4-27b-it
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 75% cheaper
| Spec | gemma-sea-lion-v4-27b-it | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | aisingapore | qwen |
| Input price / 1M tokens | $0.35 | $0.20 |
| Output price / 1M tokens | $0.56 | $0.60 |
| Context window | 128k tokens | 128k tokens |
| Latency (p50) | 206ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
SEA-LION stands for Southeast Asian Languages In One Network, which is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.
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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