Comparisons

MiniMax M2.7 FP4 vs MiniMax M3

On provider list prices, MiniMax M2.7 FP4 costs $0.30 per million input tokens against $0.30 for MiniMax M3: effectively level. Output is $1.20 against $1.20. On Allocate both bill at list plus the 7% transaction fee.

M MiniMax M2.7 FP4M MiniMax M3
LabMiniMaxAIMiniMaxAI
AccessOpen weightsAPI only
Context window192K tokens512K tokens
List price, input$0.3 / M tokens$0.3 / M tokens
List price, output$1.2 / M tokens$1.2 / M tokens
Cached input$0.06 / M tokens$0.06 / M tokens
LicenseNot listedProprietary API
Fine-tunableYesNo

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 M2.7 FP4 and $780 on MiniMax M3 at list: a gap of $0.

MiniMax M3 reads 512K tokens per request against 192K for MiniMax M2.7 FP4, 2.7x the window. That decides which one can take whole documents without splitting them.

MiniMax M2.7 FP4$0.30$1.20
MiniMax M3$0.30$1.20
InputOutput

Choose MiniMax M2.7 FP4 for

  • Open weights you can fine-tune and own
MiniMax M2.7 FP4 details

Choose MiniMax M3 for

  • The longer context window (512K vs 192K tokens)
MiniMax M3 details

Common questions

Which is cheaper, MiniMax M2.7 FP4 or MiniMax M3?

MiniMax M2.7 FP4, on this workload shape. At list prices it is $0.30/$1.20 per million tokens in and out against $0.30/$1.20 for MiniMax M3. Billed on Allocate: $0.32/$1.28 against $0.32/$1.28, list plus 7%.

Which has the bigger context window?

MiniMax M3: 524,288 tokens (512K) against 196,608 (192K) for MiniMax M2.7 FP4.

Can I fine-tune MiniMax M2.7 FP4 or MiniMax M3?

MiniMax M2.7 FP4 publishes open weights (Not listed) and can be fine-tuned on your own data. MiniMax M3 is a closed model served over API; its weights are not available.

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.