Model decision surface
Compare AI models
Start with MiMo-V2.5 and MiMo-V2.6-Flash, 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
MiMo-V2.5 vs MiMo-V2.6-Flash
Live dataset updated 9/22/2026, 10:37:09 PM UTC
Open 1200×630 evidence receipt| Field | MiMo-V2.5 Xiaomi | MiMo-V2.6-Flash Xiaomi |
|---|---|---|
| ModelCap position | #43 | #10 |
| Index score | 69.6 | 84.4 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimatedpublisher-corpus-prior over 209 held-out anchors (8%); launch card against 5 resolved peers on 7 rows (92%); exceeds every named peer on 1 of 7 rows; no cross-lab optimism probe available; shrunk 0.7 toward the measured corpus |
| Input / 1M | $0.14 | $0.14 |
| Output / 1M | $0.28 | $0.28 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 6 | 2 |
| Weight access | Open weights | Open weights |
Decision facts
- MiMo-V2.5 is #43; MiMo-V2.6-Flash is #10 on the same current language board.
- Index scores are 69.6 for MiMo-V2.5 and 84.4 for MiMo-V2.6-Flash. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
- Evidence differs: MiMo-V2.5 is Measured; MiMo-V2.6-Flash is Estimated.
- Listed output price per 1M tokens is $0.28 for MiMo-V2.5 and $0.28 for MiMo-V2.6-Flash. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.42 for MiMo-V2.5 versus $0.42 for MiMo-V2.6-Flash. The listed-rate totals are equal. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
- Published context is 1,050,000 tokens for MiMo-V2.5 and 1,048,576 for MiMo-V2.6-Flash.
- ModelCap currently lists 6 providers for MiMo-V2.5 and 2 for MiMo-V2.6-Flash.
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.