# Meta Llama 3 70B Instruct Turbo vs Muse Glimmer 30B

On provider list prices, Meta Llama 3 70B Instruct Turbo costs $0.88 per million input tokens against $0.35 for Muse Glimmer 30B: effectively level. Output is $0.88 against $1.50 (1.7x).

## Specifications

| | Meta Llama 3 70B Instruct Turbo | Muse Glimmer 30B |
| --- | --- | --- |
| Lab | Meta | Meta |
| Access | Open weights | Open weights |
| Context window | 8K tokens | 128K tokens |
| List price, input | $0.88 / M tokens | $0.35 / M tokens |
| List price, output | $0.88 / M tokens | $1.50 / M tokens |
| Cached input | n/a | $0.04 / M tokens |
| License | Llama community | Not listed |
| Fine-tunable | Yes | Yes |

Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.

## What the numbers say

Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $945 a month on Muse Glimmer 30B and $1,364 on Meta Llama 3 70B Instruct Turbo at list: a gap of $419, or 1.4x.

Muse Glimmer 30B reads 128K tokens per request against 8K for Meta Llama 3 70B Instruct Turbo, 16.0x the window. That decides which one can take whole documents without splitting them.

## Choose Meta Llama 3 70B Instruct Turbo for

- Training toward a model you own

## Choose Muse Glimmer 30B for

- The lower list price ($0.35 in / $1.50 out per M tokens)
- The longer context window (128K vs 8K tokens)
- Published cached-input pricing ($0.04 per M tokens)

## Common questions

### Which is cheaper, Meta Llama 3 70B Instruct Turbo or Muse Glimmer 30B?

Muse Glimmer 30B, on this workload shape. At list prices it is $0.35/$1.50 per million tokens in and out against $0.88/$0.88 for Meta Llama 3 70B Instruct Turbo. Billed on Allocate: $0.37/$1.60 against $0.94/$0.94.

### Which has the bigger context window?

Muse Glimmer 30B: 131,072 tokens (128K) against 8,192 (8K) for Meta Llama 3 70B Instruct Turbo.

### Can I fine-tune Meta Llama 3 70B Instruct Turbo or Muse Glimmer 30B?

Both publish open weights (Meta Llama 3 70B Instruct Turbo: Llama community; Muse Glimmer 30B: Not listed), 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/meta-meta-llama-3-70b-instruct-turbo-vs-meta-muse-glimmer-30b) · [Meta Llama 3 70B Instruct Turbo](https://allocate.network/models/meta-meta-llama-3-70b-instruct-turbo.md) · [Muse Glimmer 30B](https://allocate.network/models/meta-muse-glimmer-30b.md) · [Machine-readable catalog](https://allocate.network/catalog.json)