| Signal | GPT-4.1 Nano | Delta | MiniMax M2.5 |
|---|---|---|---|
Capabilities | 71 | +14 | |
Context window size | 96 | +12 | |
Output Capacity | 75 | -13 | |
Pricing Tier | 0 | -1 | |
Recency | 74 | -26 | |
Versatility | 67 | +33 | |
| Overall Result | 3 wins | of 6 | 3 wins |
23
days ranked higher
3
days
4
days ranked higher
OpenAI
MiniMax
GPT-4.1 Nano saves you $59.50/month
That's $714.00/year compared to MiniMax M2.5 at your current usage level of 100K calls/month.
| Metric | GPT-4.1 Nano | MiniMax M2.5 | Winner |
|---|---|---|---|
| Overall Score | 58 | 54 | GPT-4.1 Nano |
| Rank | #67 | #79 | GPT-4.1 Nano |
| Quality Rank | #67 | #79 | GPT-4.1 Nano |
| Adoption Rank | #67 | #79 | GPT-4.1 Nano |
| Parameters | -- | -- | -- |
| Context Window | 1048K | 197K | GPT-4.1 Nano |
| Pricing | $0.10/$0.40/M | $0.29/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 71 | 57 | GPT-4.1 Nano |
| Context window size | 96 | 84 | GPT-4.1 Nano |
| Output Capacity | 75 | 88 | MiniMax M2.5 |
| Pricing Tier | 0 | 1 | MiniMax M2.5 |
| Recency | 74 | 100 | MiniMax M2.5 |
| Versatility | 67 | 33 | GPT-4.1 Nano |
GPT-4.1 Nano has a moderate advantage with a 3.3000000000000043-point lead in composite score. It wins on more signal dimensions, but MiniMax M2.5 has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-4.1 Nano
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4.1 Nano
67% lower pricing; better value at scale
Best for Reliability
GPT-4.1 Nano
Higher uptime and faster response speeds
Best for Prototyping
GPT-4.1 Nano
Stronger community support and better developer experience
Best for Production
GPT-4.1 Nano
Wider enterprise adoption and proven at scale
by OpenAI
GPT-4.1 Nano currently scores higher (58 vs 54), but the best choice depends on your specific use case, budget, and requirements.
GPT-4.1 Nano is ranked #67 and MiniMax M2.5 is ranked #79. 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.