# Muse Glimmer 30B vs Qwen2 72B Instruct

On provider list prices, Qwen2 72B Instruct costs $0.90 per million input tokens against $0.35 for Muse Glimmer 30B: effectively level. Output is $0.90 against $1.50 (1.7x).

## Specifications

| | Muse Glimmer 30B | Qwen2 72B Instruct |
| --- | --- | --- |
| Lab | Meta | Togethercomputer |
| Access | Open weights | Open weights |
| Context window | 128K tokens | 32K tokens |
| List price, input | $0.35 / M tokens | $0.90 / M tokens |
| List price, output | $1.50 / M tokens | $0.90 / M tokens |
| Cached input | $0.04 / M tokens | n/a |
| License | Not listed | Qwen license |
| 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 $1,395 on Qwen2 72B Instruct at list: a gap of $450, or 1.5x.

Muse Glimmer 30B reads 128K tokens per request against 32K for Qwen2 72B Instruct, 4.0x the window. That decides which one can take whole documents without splitting them.

## Choose Muse Glimmer 30B for

- The lower list price ($0.35 in / $1.50 out per M tokens)
- The longer context window (128K vs 32K tokens)
- Published cached-input pricing ($0.04 per M tokens)

## Choose Qwen2 72B Instruct for

- Training toward a model you own

## Common questions

### Which is cheaper, Muse Glimmer 30B or Qwen2 72B Instruct?

Muse Glimmer 30B, on this workload shape. At list prices it is $0.35/$1.50 per million tokens in and out against $0.90/$0.90 for Qwen2 72B Instruct. Billed on Allocate: $0.37/$1.60 against $0.96/$0.96.

### Which has the bigger context window?

Muse Glimmer 30B: 131,072 tokens (128K) against 32,768 (32K) for Qwen2 72B Instruct.

### Can I fine-tune Muse Glimmer 30B or Qwen2 72B Instruct?

Both publish open weights (Muse Glimmer 30B: Not listed; Qwen2 72B Instruct: Qwen license), 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-muse-glimmer-30b-vs-qwen-qwen2-72b-instruct) · [Muse Glimmer 30B](https://allocate.network/models/meta-muse-glimmer-30b.md) · [Qwen2 72B Instruct](https://allocate.network/models/qwen-qwen2-72b-instruct.md) · [Machine-readable catalog](https://allocate.network/catalog.json)