Comparisons

Gemini 3.5 Flash vs MiniMax M3

On provider list prices, MiniMax M3 costs $0.30 per million input tokens against $1.50 for Gemini 3.5 Flash: 5.0x apart. Output is $1.20 against $9 (7.5x). On Allocate both bill at list plus the 7% transaction fee.

Gemini 3.5 FlashM MiniMax M3
LabGoogleMiniMaxAI
AccessAPI onlyAPI only
Context window1M tokens512K tokens
List price, input$1.5 / M tokens$0.3 / M tokens
List price, output$9 / M tokens$1.2 / M tokens
Cached inputn/a$0.06 / M tokens
LicenseProprietary APIProprietary API
Fine-tunableNoNo

Specifications 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 $4,950 on Gemini 3.5 Flash at list: a gap of $4,170, or 6.3x.

Gemini 3.5 Flash 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.

MiniMax M3$0.30$1.20
Gemini 3.5 Flash$1.50$9
InputOutput

Choose Gemini 3.5 Flash for

  • High-volume support and triage
  • Document extraction at scale
  • Vision and OCR pipelines
Gemini 3.5 Flash details

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)
MiniMax M3 details

Common questions

Which is cheaper, Gemini 3.5 Flash 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 $1.50/$9 for Gemini 3.5 Flash. Billed on Allocate: $0.32/$1.28 against $1.60/$9.63, list plus 7%.

Which has the bigger context window?

Gemini 3.5 Flash: 1,000,000 tokens (1M) against 524,288 (512K) for MiniMax M3.

Can I fine-tune Gemini 3.5 Flash 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.