Pixtral Large vs GPT-5.2 Pro

This comparison does not currently contain a protocol-matched coding benchmark for both Pixtral Large and GPT-5.2 Pro, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only GPT-5.2 Pro has a directly sourced input price: $21.00 per million tokens. Only GPT-5.2 Pro has a directly sourced output price: $168.00 per million tokens.

GPT-5.2 Pro has the larger sourced context window. Pixtral Large supports 131K and GPT-5.2 Pro supports 400K.

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Both models have the same recorded self-hosting status: unsupported. Pixtral Large is not marked open weight; GPT-5.2 Pro is not marked open weight.

Pixtral Large is documented with image input; GPT-5.2 Pro is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Pixtral Large is — and GPT-5.2 Pro is 128K.

Pixtral Large: tool calling and image input. GPT-5.2 Pro: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Pixtral Large has 0 sourced provider routes; GPT-5.2 Pro has 2, so GPT-5.2 Pro has broader tracked availability.

There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.