AllocateGemini 3.1 Pro vs MiniMax M3
On provider list prices, MiniMax M3 costs $0.30 per million input tokens against $2 for Gemini 3.1 Pro: 6.7x apart. Output is $1.20 against $12 (10.0x). On Allocate both bill at list plus the 7% transaction fee.
Gemini 3.1 ProM MiniMax M3Specifications and provider list prices from the Allocate catalog, checked 2026-07-08. Billed price is list plus the 7% transaction fee.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $780 a month on MiniMax M3 and $6,600 on Gemini 3.1 Pro at list: a gap of $5,820, or 8.5x.
Gemini 3.1 Pro reads 1M tokens per request against 512K for MiniMax M3, 1.9x the window. That decides which one can take whole documents without splitting them.
Choose Gemini 3.1 Pro for
- Judgment-heavy workflows
- Long-context analysis
- Escalation tier above Flash
Choose MiniMax M3 for
- The lower list price ($0.30 in / $1.20 out per M tokens)
- Published cached-input pricing ($0.06 per M tokens)
Common questions
Which is cheaper, Gemini 3.1 Pro or MiniMax M3?
MiniMax M3, on this workload shape. At list prices it is $0.30/$1.20 per million tokens in and out against $2/$12 for Gemini 3.1 Pro. Billed on Allocate: $0.32/$1.28 against $2.14/$12.84, list plus 7%.
Which has the bigger context window?
Gemini 3.1 Pro: 1,000,000 tokens (1M) against 524,288 (512K) for MiniMax M3.
Can I fine-tune Gemini 3.1 Pro or MiniMax M3?
No. Both are closed models served over API. If you want a model you can train and own, start from an open-weights base in the catalog.
Related comparisons
Run the numbers on your workload
Or don’t 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.