# Meta Llama 3.3 70B Instruct Turbo vs Claude Opus 4.8

On provider list prices, Meta Llama 3.3 70B Instruct Turbo costs $1.04 per million input tokens against $5 for Claude Opus 4.8: 4.8x apart. Output is $1.04 against $25 (24.0x). On Allocate both bill at list plus the 7% transaction fee.

## Specifications

| | Meta Llama 3.3 70B Instruct Turbo | Claude Opus 4.8 |
| --- | --- | --- |
| Lab | Meta | Anthropic |
| Access | Open weights | API only |
| Context window | 128K tokens | 200K tokens |
| List price, input | $1.04 / M tokens | $5 / M tokens |
| List price, output | $1.04 / M tokens | $25 / M tokens |
| Cached input | n/a | n/a |
| License | Llama community | 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.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $1,612 a month on Meta Llama 3.3 70B Instruct Turbo and $14,750 on Claude Opus 4.8 at list: a gap of $13,138, or 9.2x.

Claude Opus 4.8 reads 200K tokens per request against 128K for Meta Llama 3.3 70B Instruct Turbo, 1.5x the window. That decides which one can take whole documents without splitting them.

## Choose Meta Llama 3.3 70B Instruct Turbo for

- The lower list price ($1.04 in / $1.04 out per M tokens)
- Open weights you can fine-tune and own

## Choose Claude Opus 4.8 for

- Hardest reasoning problems
- High-stakes analysis
- Escalation tier for agents

## Common questions

### Which is cheaper, Meta Llama 3.3 70B Instruct Turbo or Claude Opus 4.8?

Meta Llama 3.3 70B Instruct Turbo, on this workload shape. At list prices it is $1.04/$1.04 per million tokens in and out against $5/$25 for Claude Opus 4.8. Billed on Allocate: $1.11/$1.11 against $5.35/$26.75, list plus 7%.

### Which has the bigger context window?

Claude Opus 4.8: 200,000 tokens (200K) against 131,072 (128K) for Meta Llama 3.3 70B Instruct Turbo.

### Can I fine-tune Meta Llama 3.3 70B Instruct Turbo or Claude Opus 4.8?

Meta Llama 3.3 70B Instruct Turbo publishes open weights (Llama community) and can be fine-tuned on your own data. Claude Opus 4.8 is a closed model served over API; its weights are not available.

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[HTML page](https://allocate.network/compare/meta-llama-3-3-70b-instruct-turbo-vs-opus-4-8) · [Meta Llama 3.3 70B Instruct Turbo](https://allocate.network/models/meta-llama-3-3-70b-instruct-turbo.md) · [Claude Opus 4.8](https://allocate.network/models/opus-4-8.md) · [Machine-readable catalog](https://allocate.network/catalog.json)