Lyria 3.5 vs Ternary Bonsai 8B

This comparison does not currently contain a protocol-matched coding benchmark for both Lyria 3.5 and Ternary Bonsai 8B, 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.

Lyria 3.5 has the larger sourced context window. Lyria 3.5 supports 1,049K and Ternary Bonsai 8B supports 66K.

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

Ternary Bonsai 8B is the only model in this pair currently marked as self-hostable. Lyria 3.5 is not marked open weight; Ternary Bonsai 8B is open weight.

Lyria 3.5 is documented with image input; Ternary Bonsai 8B is not 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 Ternary Bonsai 8B is —.

Lyria 3.5: image input. Ternary Bonsai 8B: none of these features are definitively sourced. Feature support does not establish relative quality.

Lyria 3.5 has 2 sourced provider routes; Ternary Bonsai 8B has 0, 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.