Comparisons

MiniMax M3 vs Inkling FP4

On provider list prices, MiniMax M3 costs $0.30 per million input tokens against $1 for Inkling FP4: 3.3x apart. Output is $1.20 against $4.05 (3.4x).

M MiniMax M3 Inkling FP4
LabMiniMaxAIThinking Machines
AccessAPI onlyOpen weights
Context window512K tokens512K tokens
List price, input$0.3 / M tokens$1 / M tokens
List price, output$1.2 / M tokens$4.05 / M tokens
Cached input$0.06 / M tokens$0.17 / M tokens
LicenseProprietary APIApache 2.0
Fine-tunableNoYes

Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.

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 $2,618 on Inkling FP4 at list: a gap of $1,838, or 3.4x.

MiniMax M3$0.30$1.20
Inkling FP4$1$4.05
InputOutput

Choose MiniMax M3 for

  • The lower list price ($0.30 in / $1.20 out per M tokens)
MiniMax M3 details

Choose Inkling FP4 for

  • Open weights you can fine-tune and own
  • Fine-tuning under a permissive license (Apache 2.0)
Inkling FP4 details

Common questions

Which is cheaper, MiniMax M3 or Inkling FP4?

MiniMax M3, on this workload shape. At list prices it is $0.30/$1.20 per million tokens in and out against $1/$4.05 for Inkling FP4. Billed on Allocate: $0.32/$1.28 against $1.07/$4.33.

Which has the bigger context window?

They match: both read 524,288 tokens (512K) per request.

Can I fine-tune MiniMax M3 or Inkling FP4?

Inkling FP4 publishes open weights (Apache 2.0) 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.