| Signal | GPT-5.1-Codex-Max | Delta | MiniMax M2.5 |
|---|---|---|---|
Capabilities | 86 | +29 | |
Context window size | 89 | +5 | |
Output Capacity | 85 | -3 | |
Pricing Tier | 10 | +9 | |
Recency | 100 | -- | |
Versatility | 50 | +17 | |
| Overall Result | 4 wins | of 6 | 1 wins |
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OpenAI
MiniMax
MiniMax M2.5 saves you $535.50/month
That's $6426.00/year compared to GPT-5.1-Codex-Max at your current usage level of 100K calls/month.
| Metric | GPT-5.1-Codex-Max | MiniMax M2.5 | Winner |
|---|---|---|---|
| Overall Score | 66 | 54 | GPT-5.1-Codex-Max |
| Rank | #24 | #79 | GPT-5.1-Codex-Max |
| Quality Rank | #24 | #79 | GPT-5.1-Codex-Max |
| Adoption Rank | #24 | #79 | GPT-5.1-Codex-Max |
| Parameters | -- | -- | -- |
| Context Window | 400K | 197K | GPT-5.1-Codex-Max |
| Pricing | $1.25/$10.00/M | $0.29/$1.20/M | -- |
| Signal Scores | |||
| Capabilities | 86 | 57 | GPT-5.1-Codex-Max |
| Context window size | 89 | 84 | GPT-5.1-Codex-Max |
| Output Capacity | 85 | 88 | MiniMax M2.5 |
| Pricing Tier | 10 | 1 | GPT-5.1-Codex-Max |
| Recency | 100 | 100 | GPT-5.1-Codex-Max |
| Versatility | 50 | 33 | GPT-5.1-Codex-Max |
GPT-5.1-Codex-Max clearly outperforms MiniMax M2.5 with a significant 11.5-point lead. For most general use cases, GPT-5.1-Codex-Max is the stronger choice. However, MiniMax M2.5 may still excel in niche scenarios.
Best for Quality
GPT-5.1-Codex-Max
Marginally better benchmark scores; both are excellent
Best for Cost
MiniMax M2.5
87% lower pricing; better value at scale
Best for Reliability
GPT-5.1-Codex-Max
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.1-Codex-Max
Stronger community support and better developer experience
Best for Production
GPT-5.1-Codex-Max
Wider enterprise adoption and proven at scale
by OpenAI
GPT-5.1-Codex-Max currently scores higher (66 vs 54), but the best choice depends on your specific use case, budget, and requirements.
GPT-5.1-Codex-Max is ranked #24 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.