ERNIE X1.1 vs Granite Embedding 107m Multilingual

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE X1.1 and Granite Embedding 107m Multilingual, 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 107m Multilingual supports 1K.

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

Granite Embedding 107m Multilingual is the only model in this pair currently marked as self-hostable. ERNIE X1.1 is not marked open weight; Granite Embedding 107m Multilingual is open weight.

ERNIE X1.1 is not documented with image input; Granite Embedding 107m Multilingual 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 107m Multilingual is —.

ERNIE X1.1: reasoning and tool calling. Granite Embedding 107m Multilingual: none of these features are definitively sourced. Feature support does not establish relative quality.

ERNIE X1.1 has 1 sourced provider route; Granite Embedding 107m Multilingual has 1, a tie.

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.