AllocateMiniMax M3 vs GLM 4.7 FP8
On provider list prices, MiniMax M3 costs $0.30 per million input tokens against $0.45 for GLM 4.7 FP8: 1.5x apart. Output is $1.20 against $2 (1.7x). On Allocate both bill at list plus the 7% transaction fee.
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 $1,240 on GLM 4.7 FP8 at list: a gap of $460, or 1.6x.
MiniMax M3 reads 512K tokens per request against 198K for GLM 4.7 FP8, 2.6x the window. That decides which one can take whole documents without splitting them.
Choose MiniMax M3 for
- The lower list price ($0.30 in / $1.20 out per M tokens)
- The longer context window (512K vs 198K tokens)
- Published cached-input pricing ($0.06 per M tokens)
Choose GLM 4.7 FP8 for
- Open weights you can fine-tune and own
- Fine-tuning under a permissive license (MIT)
Common questions
Which is cheaper, MiniMax M3 or GLM 4.7 FP8?
MiniMax M3, on this workload shape. At list prices it is $0.30/$1.20 per million tokens in and out against $0.45/$2 for GLM 4.7 FP8. Billed on Allocate: $0.32/$1.28 against $0.48/$2.14, list plus 7%.
Which has the bigger context window?
MiniMax M3: 524,288 tokens (512K) against 202,752 (198K) for GLM 4.7 FP8.
Can I fine-tune MiniMax M3 or GLM 4.7 FP8?
GLM 4.7 FP8 publishes open weights (MIT) 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.