Model decision surface
Compare AI models
Start with Gemini 3.5 Flash Lite 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
Gemini 3.5 Flash Lite vs MiMo-V2.6-Flash
Live dataset updated 9/28/2026, 2:54:15 AM UTC
Open 1200×630 evidence receipt| Field | Gemini 3.5 Flash Lite | MiMo-V2.6-Flash Xiaomi |
|---|---|---|
| ModelCap position | #28 | #25 |
| Index score | 71.5 | 74.5 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $0.30 | $0.14 |
| Output / 1M | $2.50 | $0.28 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 2 | 2 |
| Weight access | API only | Open weights |
Decision facts
- Gemini 3.5 Flash Lite is #28; MiMo-V2.6-Flash is #25 on the same current language board.
- Index scores are 71.5 for Gemini 3.5 Flash Lite and 74.5 for MiMo-V2.6-Flash. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $2.50 for Gemini 3.5 Flash Lite 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 $1.85 for Gemini 3.5 Flash Lite versus $0.42 for MiMo-V2.6-Flash. MiMo-V2.6-Flash costs 77.3% 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 Gemini 3.5 Flash Lite and 1,048,576 for MiMo-V2.6-Flash.
- Weight access differs: Gemini 3.5 Flash Lite is none; MiMo-V2.6-Flash is open.
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.