tokevenGPTvsMiniMax
GPT 3.5 Turbo (0125) vs MiniMax M2
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 3.5 Turbo (0125)
Fast / BudgetMiniMax M2
Mid-tierInput $/MTok
$0.50
$0.26
Output $/MTok
$1.50
$1.00
Cache discount
0% off
0% off
Context
16K
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
GPT 3.5 Turbo (0125)
MiniMax M2
Guidance
When to use GPT 3.5 Turbo (0125) vs MiniMax M2
Choose GPT 3.5 Turbo (0125) when...
- Similar performance; consider provider preference or ecosystem fit.
Choose MiniMax M2 when...
- -Cost matters: 48% cheaper on input tokens
- -You need a larger context window (200K vs 16K)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
GPT 3.5 Turbo (0125)
MiniMax M2
100K tokens
$0.08
$0.05Cheaper
1M tokens
$0.80
$0.48Cheaper
10M tokens
$8.00
$4.82Cheaper
FAQ
When should I use GPT 3.5 Turbo (0125) instead of MiniMax M2?
GPT 3.5 Turbo (0125) and MiniMax M2 perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is MiniMax M2 cheaper than GPT 3.5 Turbo (0125)?
Yes. MiniMax M2 input costs $0.26/MTok vs $0.50/MTok for GPT 3.5 Turbo (0125), saving 48% on input.
What are the context window sizes for GPT 3.5 Turbo (0125) and MiniMax M2?
GPT 3.5 Turbo (0125) has a 16K 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 GPT 3.5 Turbo (0125) 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.