Lyria 3.5 vs Llama 4 Scout 17B 16E

This comparison does not currently contain a protocol-matched coding benchmark for both Lyria 3.5 and Llama 4 Scout 17B 16E, 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.

Llama 4 Scout 17B 16E has the larger sourced context window. Lyria 3.5 supports 1,049K and Llama 4 Scout 17B 16E supports 10,000K.

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

Llama 4 Scout 17B 16E is the only model in this pair currently marked as self-hostable. Lyria 3.5 is not marked open weight; Llama 4 Scout 17B 16E is open weight.

Lyria 3.5 is documented with image input; Llama 4 Scout 17B 16E is documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Lyria 3.5 is 66K and Llama 4 Scout 17B 16E is —.

Lyria 3.5: image input. Llama 4 Scout 17B 16E: tool calling and image input. Feature support does not establish relative quality.

Lyria 3.5 has 2 sourced provider routes; Llama 4 Scout 17B 16E has 1, so Lyria 3.5 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.