ERNIE X1.1 vs Granite Embedding English r2

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Granite Embedding English r2, 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.

ERNIE X1.1 has the larger sourced context window. ERNIE X1.1 supports 66K and Granite Embedding English r2 supports 8K.

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

Granite Embedding English r2 is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; Granite Embedding English r2 is open weight.

ERNIE X1.1 is not documented with image input; Granite Embedding English r2 is not 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 Granite Embedding English r2 is —.

ERNIE X1.1: reasoning and tool calling. Granite Embedding English r2: none of these features are definitively sourced. Feature support does not establish relative quality.

ERNIE X1.1 has 1 sourced provider route; Granite Embedding English r2 has 0, so ERNIE X1.1 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.