Llama 3.1 405B vs Codestral 22B v0.1

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 3.1 405B and Codestral 22B v0.1, 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 3.1 405B has the larger sourced context window. Llama 3.1 405B supports 131K and Codestral 22B v0.1 supports 33K.

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 is open weight; Codestral 22B v0.1 is open weight.

Llama 3.1 405B is not documented with image input; Codestral 22B v0.1 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 is — and Codestral 22B v0.1 is —.

Llama 3.1 405B: none of these features are definitively sourced. Codestral 22B v0.1: none of these features are definitively sourced. Feature support does not establish relative quality.

Llama 3.1 405B has 1 sourced provider route; Codestral 22B v0.1 has 0, so Llama 3.1 405B 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.