Qwen3.5 397B A17B vs Llama 3.1 405B Instruct

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Llama 3.1 405B Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only Qwen3.5 397B A17B has a directly sourced input price: $0.45 per million tokens. Only Qwen3.5 397B A17B has a directly sourced output price: $3.00 per million tokens.

Qwen3.5 397B A17B has the larger sourced context window. Qwen3.5 397B A17B supports 262,144 tokens and Llama 3.1 405B Instruct supports 131,072 tokens.

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 sourced self-hosting status: supported. Qwen3.5 397B A17B is open weight; Llama 3.1 405B Instruct is open weight.

Qwen3.5 397B A17B is documented with image input; Llama 3.1 405B Instruct is not documented with image input. This reflects supported input modalities, not vision quality.

Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.

Qwen3.5 397B A17B: reasoning, tool calling, and image input. Llama 3.1 405B Instruct: tool calling. Feature support does not establish relative quality.

Qwen3.5 397B A17B has 4 sourced provider routes; Llama 3.1 405B Instruct has 1, so Qwen3.5 397B A17B 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.