| Signal | GPT-4 (older v0314) | Delta | MiniMax M2.5 |
|---|---|---|---|
Capabilities | 43 | -14 | |
Context window size | 62 | -22 | |
Output Capacity | 60 | -28 | |
Pricing Tier | 60 | +59 | |
Recency | 0 | -100 | |
Versatility | 33 | -- | |
| Overall Result | 1 wins | of 6 | 4 wins |
0
days ranked higher
0
days
30
days ranked higher
OpenAI
MiniMax
MiniMax M2.5 saves you $5910.50/month
That's $70926.00/year compared to GPT-4 (older v0314) at your current usage level of 100K calls/month.
| Metric | GPT-4 (older v0314) | MiniMax M2.5 | Winner |
|---|---|---|---|
| Overall Score | 44 | 54 | MiniMax M2.5 |
| Rank | #189 | #79 | MiniMax M2.5 |
| Quality Rank | #189 | #79 | MiniMax M2.5 |
| Adoption Rank | #189 | #79 | MiniMax M2.5 |
| Parameters | -- | -- | -- |
| Context Window | 8K | 197K | MiniMax M2.5 |
| Pricing | $30.00/$60.00/M | $0.29/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 43 | 57 | MiniMax M2.5 |
| Context window size | 62 | 84 | MiniMax M2.5 |
| Output Capacity | 60 | 88 | MiniMax M2.5 |
| Pricing Tier | 60 | 1 | GPT-4 (older v0314) |
| Recency | 0 | 100 | MiniMax M2.5 |
| Versatility | 33 | 33 | GPT-4 (older v0314) |
MiniMax M2.5 has a moderate advantage with a 9.899999999999999-point lead in composite score. It wins on more signal dimensions, but GPT-4 (older v0314) has specific strengths that could make it the better choice for certain workflows.
Best for Quality
GPT-4 (older v0314)
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.5
98% lower pricing; better value at scale
Best for Reliability
GPT-4 (older v0314)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4 (older v0314)
Stronger community support and better developer experience
Best for Production
GPT-4 (older v0314)
Wider enterprise adoption and proven at scale
by OpenAI
MiniMax M2.5 currently scores higher (54 vs 44), but the best choice depends on your specific use case, budget, and requirements.
GPT-4 (older v0314) is ranked #189 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.