tokevenGPTvsMiniMax
o1 vs MiniMax M2
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
o1
FlagshipMiniMax M2
Mid-tierInput $/MTok
$15.00
$0.26
Output $/MTok
$60.00
$1.00
Cache discount
50% off
0% off
Context
200K
200K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
0
Code Review
0
vs
0
Summarization
0
vs
0
Q&A
0
vs
0
Extraction
0
vs
0
Reasoning
0
vs
0
Classification
0
vs
0
Creative Writing
0
vs
0
o1
MiniMax M2
Guidance
When to use o1 vs MiniMax M2
Choose o1 when...
- Similar performance; consider provider preference or ecosystem fit.
Choose MiniMax M2 when...
- -Cost matters: 98% cheaper on input tokens
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
o1
MiniMax M2
100K tokens
$2.85
$0.05Cheaper
1M tokens
$28.50
$0.48Cheaper
10M tokens
$285.00
$4.82Cheaper
FAQ
When should I use o1 instead of MiniMax M2?
o1 and MiniMax M2 perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is MiniMax M2 cheaper than o1?
Yes. MiniMax M2 input costs $0.26/MTok vs $15.00/MTok for o1, saving 98% on input.
What are the context window sizes for o1 and MiniMax M2?
o1 has a 200K token context window. MiniMax M2 has a 200K token context window.
Go deeper on either model
Per-call cost calculators, provider lineups, and price history for both models on this page.
Other comparisons
How o1 and MiniMax M2 stack up against the rest of the field.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.