Comparisons

Llama 4 70B vs MiniMax M3

Llama 4 70B is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.

Llama 4 70BM MiniMax M3
LabMetaMiniMaxAI
AccessNot served on AllocateAPI only
Context windown/a512K tokens
List price, inputNot served$0.3 / M tokens
List price, outputNot served$1.2 / M tokens
Cached inputn/a$0.06 / M tokens
LicenseNot listedProprietary API
Fine-tunableYesNo

Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.

Choose Llama 4 70B for

  • First private fine-tunes
  • Classification and extraction
  • On-boundary deployments
Llama 4 70B details

Choose MiniMax M3 for

  • Published cached-input pricing ($0.06 per M tokens)
MiniMax M3 details

Common questions

Which has the bigger context window?

MiniMax M3: 524,288 tokens (512K) against an unlisted window for Llama 4 70B.

Can I fine-tune Llama 4 70B or MiniMax M3?

Llama 4 70B publishes open weights (Not listed) and can be fine-tuned on your own data. MiniMax M3 is a closed model served over API; its weights are not available.

Related comparisons

Run the numbers on your workload

Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.