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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 83% cheaper than Kimi K2 Thinking
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 500% cheaper
| Spec | Qwen: Qwen2.5 VL 32B Instruct | Kimi K2 Thinking |
|---|---|---|
| Provider | qwen | moonshotai |
| Input price / 1M tokens | $0.20 | $1.20 |
| Output price / 1M tokens | $0.60 | $4.00 |
| Context window | 128k tokens | 262k 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...
Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
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