| Signal | GPT-3.5 Turbo 16k | Delta | MiniMax M2.5 |
|---|---|---|---|
Capabilities | 43 | -14 | |
Context window size | 67 | -17 | |
Output Capacity | 60 | -28 | |
Pricing Tier | 4 | +3 | |
Recency | 0 | -100 | |
Versatility | 33 | -- | |
| Overall Result | 1 wins | of 6 | 4 wins |
0
days ranked higher
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30
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OpenAI
MiniMax
MiniMax M2.5 saves you $410.50/month
That's $4926.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo 16k | MiniMax M2.5 | Winner |
|---|---|---|---|
| Overall Score | 31 | 54 | MiniMax M2.5 |
| Rank | #271 | #79 | MiniMax M2.5 |
| Quality Rank | #271 | #79 | MiniMax M2.5 |
| Adoption Rank | #271 | #79 | MiniMax M2.5 |
| Parameters | -- | -- | -- |
| Context Window | 16K | 197K | MiniMax M2.5 |
| Pricing | $3.00/$4.00/M | $0.29/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 43 | 57 | MiniMax M2.5 |
| Context window size | 67 | 84 | MiniMax M2.5 |
| Output Capacity | 60 | 88 | MiniMax M2.5 |
| Pricing Tier | 4 | 1 | GPT-3.5 Turbo 16k |
| Recency | 0 | 100 | MiniMax M2.5 |
| Versatility | 33 | 33 | GPT-3.5 Turbo 16k |
MiniMax M2.5 clearly outperforms GPT-3.5 Turbo 16k with a significant 23.199999999999996-point lead. For most general use cases, MiniMax M2.5 is the stronger choice. However, GPT-3.5 Turbo 16k may still excel in niche scenarios.
Best for Quality
GPT-3.5 Turbo 16k
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.5
79% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo 16k
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo 16k
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo 16k
Wider enterprise adoption and proven at scale
by OpenAI
MiniMax M2.5 currently scores higher (54 vs 31), but the best choice depends on your specific use case, budget, and requirements.
GPT-3.5 Turbo 16k is ranked #271 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.