ERNIE 5.1 vs Phi-4 Multimodal Instruct

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 5.1 and Phi-4 Multimodal Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only ERNIE 5.1 has a directly sourced input price: $4.00 per million tokens. Only ERNIE 5.1 has a directly sourced output price: $18.00 per million tokens.

Neither model has a larger sourced context window in this comparison. ERNIE 5.1 is 131K and Phi-4 Multimodal Instruct is 131K.

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

Phi-4 Multimodal Instruct is the only model in this pair currently marked as self-hostable. ERNIE 5.1 is not marked open weight; Phi-4 Multimodal Instruct is open weight.

ERNIE 5.1 is not documented with image input; Phi-4 Multimodal Instruct is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. ERNIE 5.1 is 66K and Phi-4 Multimodal Instruct is —.

ERNIE 5.1: reasoning and tool calling. Phi-4 Multimodal Instruct: image input. Feature support does not establish relative quality.

ERNIE 5.1 has 1 sourced provider route; Phi-4 Multimodal Instruct has 0, so ERNIE 5.1 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.