Comparisons /

Muse Glimmer 30B vs Qwen3-VL-32B-Instruct

On provider list prices, Muse Glimmer 30B costs $0.35 per million input tokens against $0.50 for Qwen3-VL-32B-Instruct: 1.4x apart. Output is $1.50 against $1.50.

Muse Glimmer 30B Qwen3-VL-32B-Instruct
LabMetaQwen
AccessOpen weightsOpen weights
Context window128K tokens256K tokens
List price, input$0.35 / M tokens$0.5 / M tokens
List price, output$1.5 / M tokens$1.5 / M tokens
Cached input$0.04 / M tokensn/a
LicenseNot listedApache 2.0
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 $1,125 on Qwen3-VL-32B-Instruct at list: a gap of $180, or 1.2x.

Qwen3-VL-32B-Instruct reads 256K tokens per request against 128K for Muse Glimmer 30B, 2.0x the window. That decides which one can take whole documents without splitting them.

Muse Glimmer 30B$0.35$1.50
Qwen3-VL-32B-Instruct$0.50$1.50
InputOutput

Choose Muse Glimmer 30B for

  • The lower list price ($0.35 in / $1.50 out per M tokens)
  • Published cached-input pricing ($0.04 per M tokens)
Muse Glimmer 30B details →

Choose Qwen3-VL-32B-Instruct for

  • The longer context window (256K vs 128K tokens)
  • Fine-tuning under a permissive license (Apache 2.0)
Qwen3-VL-32B-Instruct details →

Common questions

Which is cheaper, Muse Glimmer 30B or Qwen3-VL-32B-Instruct?

Muse Glimmer 30B, on this workload shape. At list prices it is $0.35/$1.50 per million tokens in and out against $0.50/$1.50 for Qwen3-VL-32B-Instruct. Billed on Allocate: $0.37/$1.60 against $0.54/$1.60.

Which has the bigger context window?

Qwen3-VL-32B-Instruct: 262,144 tokens (256K) against 131,072 (128K) for Muse Glimmer 30B.

Can I fine-tune Muse Glimmer 30B or Qwen3-VL-32B-Instruct?

Both publish open weights (Muse Glimmer 30B: Not listed; Qwen3-VL-32B-Instruct: Apache 2.0), 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.