ERNIE X1.1 vs Gemini Deep Research Max

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Gemini Deep Research Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only ERNIE X1.1 has a directly sourced input price: $1.00 per million tokens. Only ERNIE X1.1 has a directly sourced output price: $4.00 per million tokens.

Gemini Deep Research Max has the larger sourced context window. ERNIE X1.1 supports 66K and Gemini Deep Research Max supports 1,049K.

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. ERNIE X1.1 is not marked open weight; Gemini Deep Research Max is not marked open weight.

ERNIE X1.1 is not documented with image input; Gemini Deep Research Max is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. ERNIE X1.1 is 66K and Gemini Deep Research Max is 66K.

ERNIE X1.1: reasoning and tool calling. Gemini Deep Research Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

ERNIE X1.1 has 1 sourced provider route; Gemini Deep Research Max has 2, so Gemini Deep Research Max 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.