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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 93% cheaper than Magnum v4 72B
⚡Qwen: Qwen2.5 VL 32B Instruct is 18ms faster than Magnum v4 72B
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 1400% cheaper
| Spec | Magnum v4 72B | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | anthracite-org | qwen |
| Input price / 1M tokens | $3.00 | $0.20 |
| Output price / 1M tokens | $5.00 | $0.60 |
| Context window | 33k tokens | 128k tokens |
| Latency (p50) | 18ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tuned on top of [Qwen2.5 72B](https://openrouter.ai/qwen/qwen-2.5-72b-instruct).
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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