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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 90% cheaper than Mistral: Mixtral 8x22B Instruct
⚡Qwen: Qwen2.5 VL 32B Instruct is 18ms faster than Mistral: Mixtral 8x22B Instruct
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen: Qwen2.5 VL 32B Instruct is 900% cheaper
| Spec | Mistral: Mixtral 8x22B Instruct | Qwen: Qwen2.5 VL 32B Instruct |
|---|---|---|
| Provider | mistralai | qwen |
| Input price / 1M tokens | $2.00 | $0.20 |
| Output price / 1M tokens | $6.00 | $0.60 |
| Context window | 66k tokens | 128k tokens |
| Latency (p50) | 18ms | — |
| Best benchmark score | — | — |
| Open source | No | No |
Mistral's official instruct fine-tuned version of [Mixtral 8x22B](/models/mistralai/mixtral-8x22b). It uses 39B active parameters out of 141B, offering unparalleled cost efficiency for its size. Its strengths include: - strong math, coding,...
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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