Model decision surface
Compare AI models
Start with MiniMax M3 and Nex-N2.5-Mini, or choose any two current ranked language models. Compare capability evidence, price, context, provider availability, and weight access without pretending one field decides every use case.
Current public data
MiniMax M3 vs Nex-N2.5-Mini
Live dataset updated 9/15/2026, 9:19:37 PM UTC
Open 1200×630 evidence receipt| Field | MiniMax M3 MiniMax | Nex-N2.5-Mini Nex AGI |
|---|---|---|
| ModelCap position | #38 | #32 |
| Index score | 65.1 | 67.6 |
| Evidence | Measured4 public benchmark observations across 4 boards | Estimatedglobal-corpus-prior over 194 held-out anchors (16%); launch card against 6 resolved peers on 3 rows (84%); no cross-lab optimism probe available; shrunk 2.9 toward the measured corpus |
| Input / 1M | $0.30 | Free |
| Output / 1M | $1.20 | Free |
| Pricing status | fresh | fresh |
| Context | 1M | 262K |
| Providers | 13 | 1 |
| Weight access | Restricted license | Open weights |
Decision facts
- MiniMax M3 is #38; Nex-N2.5-Mini is #32 on the same current language board.
- Index scores are 65.1 for MiniMax M3 and 67.6 for Nex-N2.5-Mini. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: MiniMax M3 is Measured; Nex-N2.5-Mini is Estimated.
- Listed output price per 1M tokens is $1.20 for MiniMax M3 and $0 for Nex-N2.5-Mini. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.20 for MiniMax M3 versus $0 for Nex-N2.5-Mini. Nex-N2.5-Mini costs 100.0% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,048,576 tokens for MiniMax M3 and 262,144 for Nex-N2.5-Mini.
- Weight access differs: MiniMax M3 is restricted; Nex-N2.5-Mini is open.
- ModelCap currently lists 13 providers for MiniMax M3 and 1 for Nex-N2.5-Mini.
These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.
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Each comparison page is a permanent, shareable URL with the same live figures as this tool: ModelCap Index position, API pricing, context window, provider count, weight access and every shared benchmark board.