So sanh Meta: Llama 4 Maverick (Meta) va Mistral: Mistral Small 3.2 24B (Mistral AI) theo gia, context, kha nang va do tre.
Dat canh nhau
So sanh gia, nha cung cap, context, kha nang, do tre va co so nguon.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | Meta | $0.15 / 1M tokens | $0.6 / 1M tokens | 1M | JSON modeLong contextStreamingLow cost | open-model workflows, cost-sensitive long context | 950-2800ms | Catalog | OpenRouter if available |
| Mistral: Mistral Small 3.2 24Bmistralai/mistral-small-3.2-24b-instruct | Mistral AI | $0.1 / 1M tokens | $0.3 / 1M tokens | 128k | Tool callingJSON modeStreamingLow cost | translation, classification | 700-2300ms | Catalog | OpenRouter if available |
FAQ
Mistral: Mistral Small 3.2 24B re hon Meta: Llama 4 Maverick ($0.1 / 1M tokens input / $0.3 / 1M tokens output so voi $0.15 / 1M tokens input / $0.6 / 1M tokens output). Chi phi thuc te phu thuoc vao ty le token input va output cua ban, vi vay hay uoc tinh bang may tinh gia dua tren traffic that.
Meta: Llama 4 Maverick co cua so ngu canh lon hon (1M token) so voi 128k token.
Ca hai deu phu hop cho Low cost. Chon Mistral: Mistral Small 3.2 24B neu uu tien la chi phi, hoac chon Meta: Llama 4 Maverick neu ban can cua so ngu canh lon hon. Hay thu ca hai bang prompt that truoc khi dua traffic production vao.