| Signal | MiniMax M2.5 | Delta | o4 Mini Deep Research |
|---|---|---|---|
Capabilities | 57 | -29 | |
Context window size | 84 | 0 | |
Output Capacity | 88 | +5 | |
Pricing Tier | 1 | -7 | |
Recency | 100 | -- | |
Versatility | 33 | -33 | |
| Overall Result | 1 wins | of 6 | 4 wins |
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MiniMax
OpenAI
MiniMax M2.5 saves you $510.50/month
That's $6126.00/year compared to o4 Mini Deep Research at your current usage level of 100K calls/month.
| Metric | MiniMax M2.5 | o4 Mini Deep Research | Winner |
|---|---|---|---|
| Overall Score | 54 | 66 | o4 Mini Deep Research |
| Rank | #79 | #23 | o4 Mini Deep Research |
| Quality Rank | #79 | #23 | o4 Mini Deep Research |
| Adoption Rank | #79 | #23 | o4 Mini Deep Research |
| Parameters | -- | -- | -- |
| Context Window | 197K | 200K | o4 Mini Deep Research |
| Pricing | $0.29/$1.20/M | $2.00/$8.00/M | -- |
| Signal Scores | |||
| Capabilities | 57 | 86 | o4 Mini Deep Research |
| Context window size | 84 | 84 | o4 Mini Deep Research |
| Output Capacity | 88 | 83 | MiniMax M2.5 |
| Pricing Tier | 1 | 8 | o4 Mini Deep Research |
| Recency | 100 | 100 | MiniMax M2.5 |
| Versatility | 33 | 67 | o4 Mini Deep Research |
o4 Mini Deep Research clearly outperforms MiniMax M2.5 with a significant 11.700000000000003-point lead. For most general use cases, o4 Mini Deep Research is the stronger choice. However, MiniMax M2.5 may still excel in niche scenarios.
Best for Quality
MiniMax M2.5
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.5
85% lower pricing; better value at scale
Best for Reliability
MiniMax M2.5
Higher uptime and faster response speeds
Best for Prototyping
MiniMax M2.5
Stronger community support and better developer experience
Best for Production
MiniMax M2.5
Wider enterprise adoption and proven at scale
by MiniMax
o4 Mini Deep Research currently scores higher (66 vs 54), but the best choice depends on your specific use case, budget, and requirements.
MiniMax M2.5 is ranked #79 and o4 Mini Deep Research is ranked #23. Rankings are based on a composite score from multiple signals including benchmarks, community sentiment, and adoption metrics.
Compare the detailed pricing breakdown above to see which model offers better value for your usage pattern.