# Llama 4 70B vs Qwen 3.5

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 | Qwen 3.5 |
| --- | --- | --- |
| Lab | Meta | Qwen |
| Access | Not served on Allocate | Open weights |
| Context window | n/a | 256K tokens |
| List price, input | Not served | $0.60 / M tokens |
| List price, output | Not served | $3.60 / M tokens |
| Cached input | n/a | $0.35 / M tokens |
| License | Not listed | Apache 2.0 |
| Fine-tunable | Yes | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

## Choose Llama 4 70B for

- First private fine-tunes
- Classification and extraction
- On-boundary deployments

## Choose Qwen 3.5 for

- Multilingual support agents
- Translation-adjacent workflows
- Fine-tuning under Apache 2.0

## Common questions

### Which has the bigger context window?

Qwen 3.5: 262,144 tokens (256K) against an unlisted window for Llama 4 70B.

### Can I fine-tune Llama 4 70B or Qwen 3.5?

Both publish open weights (Llama 4 70B: Not listed; Qwen 3.5: Apache 2.0), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.

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[HTML page](https://allocate.network/compare/llama-4-70b-vs-qwen-3-5) · [Llama 4 70B](https://allocate.network/models/llama-4-70b.md) · [Qwen 3.5](https://allocate.network/models/qwen-3-5.md) · [Machine-readable catalog](https://allocate.network/catalog.json)