Model decision surface
Compare AI models
Start with Gemma 4 26B A4B and MiMo-V2.5, 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
Gemma 4 26B A4B vs MiMo-V2.5
Live dataset updated 9/22/2026, 9:31:46 PM UTC
Open 1200×630 evidence receipt| Field | Gemma 4 26B A4B | MiMo-V2.5 Xiaomi |
|---|---|---|
| ModelCap position | #38 | #43 |
| Index score | 70.2 | 69.6 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.09 | $0.14 |
| Output / 1M | $0.30 | $0.28 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 12 | 6 |
| Weight access | Open weights | Open weights |
Decision facts
- Gemma 4 26B A4B is #38; MiMo-V2.5 is #43 on the same current language board.
- Index scores are 70.2 for Gemma 4 26B A4B and 69.6 for MiMo-V2.5. 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 $0.30 for Gemma 4 26B A4B and $0.28 for MiMo-V2.5. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.33 for Gemma 4 26B A4B versus $0.42 for MiMo-V2.5. Gemma 4 26B A4B costs 21.4% 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 262,144 tokens for Gemma 4 26B A4B and 1,050,000 for MiMo-V2.5.
- ModelCap currently lists 12 providers for Gemma 4 26B A4B and 6 for MiMo-V2.5.
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.