Compare · ModelsLive · 2 picked · head to head
MiniMax M2.5 vs o4 Mini
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
MiniMax M2.5 wins on 1/2 benchmarks
MiniMax M2.5 wins 1 of 2 shared benchmarks. Leads in reasoning.
Category leads
reasoning·MiniMax M2.5
Hype vs Reality
Attention vs performance
MiniMax M2.5
#131 by perf·#11 by attention
o4 Mini
#132 by perf·no signal
Best value
MiniMax M2.5
4.1x better value than o4 Mini
MiniMax M2.5
72.0 pts/$
$0.68/M
o4 Mini
17.6 pts/$
$2.75/M
Vendor risk
Mixed exposure
One or more vendors flagged
MiniMax
$4.0B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
2 benchmarks · 2 models
MiniMax M2.5o4 Mini
ARC-AGI
MiniMax M2.5 leads by +5.0
ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization.
MiniMax M2.5
63.7
o4 Mini
58.7
ARC-AGI-2
o4 Mini leads by +1.3
ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data.
MiniMax M2.5
4.9
o4 Mini
6.1
Full benchmark table
| Benchmark | MiniMax M2.5 | o4 Mini |
|---|---|---|
ARC-AGI ARC-AGI · the original Abstraction and Reasoning Corpus, testing whether AI can solve novel visual pattern recognition tasks without memorization. | 63.7 | 58.7 |
ARC-AGI-2 ARC-AGI-2 · the second iteration of the Abstraction and Reasoning Corpus, testing novel pattern recognition and abstract reasoning without prior training data. | 4.9 | 6.1 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.27 | $1.08 | 205K tokens (~102 books) | $4.72 | |
| $1.10 | $4.40 | 200K tokens (~100 books) | $19.25 |