Llama 3.1 405B Instruct vs GLM 5.2

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 405B Instruct and GLM 5.2, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Only GLM 5.2 has a directly sourced input price: $0.75 per million tokens. Only GLM 5.2 has a directly sourced output price: $2.40 per million tokens.

GLM 5.2 has the larger sourced context window. Llama 3.1 405B Instruct supports 131K and GLM 5.2 supports 1,049K.

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. Llama 3.1 405B Instruct is open weight; GLM 5.2 is open weight.

Llama 3.1 405B Instruct is not documented with image input; GLM 5.2 is not documented with image input. This reflects supported input modalities, not vision quality.

Neither has a larger sourced maximum output. Llama 3.1 405B Instruct is — and GLM 5.2 is —.

Llama 3.1 405B Instruct: tool calling. GLM 5.2: reasoning and tool calling. Feature support does not establish relative quality.

Llama 3.1 405B Instruct has 1 sourced provider route; GLM 5.2 has 5, so GLM 5.2 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.