tokevenGPTvsMiniMax
GPT 3.5 Turbo vs MiniMax M3
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
GPT 3.5 Turbo
Fast / BudgetMiniMax M3
FlagshipInput $/MTok
$0.50
$0.30
Output $/MTok
$1.50
$1.20
Cache discount
0% off
80% off
Context
16K
1M
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
MiniMax M3
Guidance
When to use GPT 3.5 Turbo vs MiniMax M3
Choose GPT 3.5 Turbo when...
- Similar performance; consider provider preference or ecosystem fit.
Choose MiniMax M3 when...
- -Cost matters: 40% cheaper on input tokens
- -You need a larger context window (1M vs 16K)
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
GPT 3.5 Turbo
MiniMax M3
100K tokens
$0.08
$0.06Cheaper
1M tokens
$0.80Cheaper
$1.14
10M tokens
$8.00Cheaper
$11.40
FAQ
When should I use GPT 3.5 Turbo instead of MiniMax M3?
GPT 3.5 Turbo and MiniMax M3 perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is MiniMax M3 cheaper than GPT 3.5 Turbo?
Yes. MiniMax M3 input costs $0.30/MTok vs $0.50/MTok for GPT 3.5 Turbo, saving 40% on input.
What are the context window sizes for GPT 3.5 Turbo and MiniMax M3?
GPT 3.5 Turbo has a 16K token context window. MiniMax M3 has a 1M 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 and MiniMax M3 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.