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 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.
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.