ERNIE 4.5 0.3B PT vs Phi-4 Multimodal Instruct

This comparison does not currently contain a protocol-matched coding benchmark for both ERNIE 4.5 0.3B PT and Phi-4 Multimodal Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Neither model has a directly sourced input price in this comparison. Neither model has a directly sourced output price in this comparison.

Neither model has a larger sourced context window in this comparison. ERNIE 4.5 0.3B PT 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.

Both models have the same recorded self-hosting status: supported. ERNIE 4.5 0.3B PT is open weight; Phi-4 Multimodal Instruct is open weight.

ERNIE 4.5 0.3B PT 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 4.5 0.3B PT is — and Phi-4 Multimodal Instruct is —.

ERNIE 4.5 0.3B PT: none of these features are definitively sourced. Phi-4 Multimodal Instruct: image input. Feature support does not establish relative quality.

ERNIE 4.5 0.3B PT has 0 sourced provider routes; Phi-4 Multimodal Instruct has 0, 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.