# 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.

## Specifications

| | Llama 4 70B | MiniMax M3 |
| --- | --- | --- |
| Lab | Meta | MiniMaxAI |
| Access | Not served on Allocate | API only |
| Context window | n/a | 512K tokens |
| List price, input | Not served | $0.30 / M tokens |
| List price, output | Not served | $1.20 / M tokens |
| Cached input | n/a | $0.06 / M tokens |
| License | Not listed | Proprietary API |
| Fine-tunable | Yes | No |

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

## Choose MiniMax M3 for

- Published cached-input pricing ($0.06 per M tokens)

## 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.

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[HTML page](https://allocate.network/compare/llama-4-70b-vs-minimaxai-minimax-m3) · [Llama 4 70B](https://allocate.network/models/llama-4-70b.md) · [MiniMax M3](https://allocate.network/models/minimaxai-minimax-m3.md) · [Machine-readable catalog](https://allocate.network/catalog.json)