Comparisons /

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).

Muse Glimmer 30B Qwen2 72B Instruct
LabMetaTogethercomputer
AccessOpen weightsOpen weights
Context window128K tokens32K tokens
List price, input$0.35 / M tokens$0.9 / M tokens
List price, output$1.5 / M tokens$0.9 / M tokens
Cached input$0.04 / M tokensn/a
LicenseNot listedQwen license
Fine-tunableYesYes

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.

Muse Glimmer 30B$0.35$1.50
Qwen2 72B Instruct$0.90$0.90
InputOutput

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)
Muse Glimmer 30B details →

Choose Qwen2 72B Instruct for

  • Training toward a model you own
Qwen2 72B Instruct details →

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.

Related comparisons

Run the numbers on your workload

Or do not choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.