Best GPT-5.2 Pro alternatives
Users may seek alternatives to GPT-5.2 Pro because of its high output price of $168 per million tokens along with high computational demands for maximum context. This list covers seven other multimodal models with varying speeds, prices, context windows, and strengths for image, text, and file tasks.
Grok 4.3 offers a much lower price of $2.5 per million tokens and a larger 1M-token context compared to GPT-5.2 Pro's 400k, with strong multi-step reasoning, though its vision capabilities are less mature.
GPT-5 Codex provides a higher intelligence index of 44.6 and faster output speed of 149.9 t/s at a lower price of $10 per million tokens while matching the 400k context, with strong coding specialization as a trade-off for limited modalities.
Gemini 3.1 Flash Lite delivers much higher speed at 310.24 t/s and lower price of $1.5 per million tokens with over 1M context, trading reduced depth on complex reasoning for efficiency and broad modality support.
Grok 4.20 Multi-Agent supports a larger 2M context at $6 per million tokens and coordinates multiple agents for workflows, though it may add latency compared to GPT-5.2 Pro's seamless multimodal handling.
GPT-5.1-Codex achieves an intelligence index of 43.1 and faster speed of 178.06 t/s at $10 per million tokens with the same 400k context, excelling in coding workflows while limited to text and image inputs.
GPT Chat Latest matches the 400k context and multimodal text-image-file handling at a lower price of $30 per million tokens, offering flexible performance across tasks but with potential hallucinations.
GPT-5.1 provides native support for images, text, and files at a lower price of $10 per million tokens with the same 400k context, though its intelligence index of 27.4 is lower and it lacks audio or video.
Google's multimodal model processes text, images, audio, video and files over 1M tokens.
Frequently asked questions
GPT-5 Codex stands out with the highest listed intelligence index of 44.6, faster speed, and lower price while matching context size.