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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.
💰tinyllama-1.1b-chat-v1.0 is 100% cheaper than Qwen: Qwen2.5 VL 32B Instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
tinyllama-1.1b-chat-v1.0 is Infinity% cheaper
| Spec | tinyllama-1.1b-chat-v1.0 | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | tinyllama | qwen |
| Input price / 1M tokens | Free | $0.20 |
| Output price / 1M tokens | — | $0.60 |
| Context window | 2k tokens | 128k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. This is the chat model finetuned on top of TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T.
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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