Model decision surface
Compare AI models
Start with Gemma 4 31B 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
Gemma 4 31B vs MiMo-V2.6-Flash
Live dataset updated 9/22/2026, 10:37:09 PM UTC
Open 1200×630 evidence receipt| Field | Gemma 4 31B | MiMo-V2.6-Flash Xiaomi |
|---|---|---|
| ModelCap position | #29 | #10 |
| Index score | 73.8 | 84.4 |
| Evidence | Measured3 public benchmark observations across 3 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 | $0.09 | $0.14 |
| Output / 1M | $0.34 | $0.28 |
| Pricing status | fresh | fresh |
| Context | 262K | 1M |
| Providers | 11 | 2 |
| Weight access | Open weights | Open weights |
Decision facts
- Gemma 4 31B is #29; MiMo-V2.6-Flash is #10 on the same current language board.
- Index scores are 73.8 for Gemma 4 31B and 84.4 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.
- Evidence differs: Gemma 4 31B is Measured; MiMo-V2.6-Flash is Estimated.
- Listed output price per 1M tokens is $0.34 for Gemma 4 31B 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 $0.35 for Gemma 4 31B versus $0.42 for MiMo-V2.6-Flash. Gemma 4 31B costs 16.7% 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 31B and 1,048,576 for MiMo-V2.6-Flash.
- ModelCap currently lists 11 providers for Gemma 4 31B 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.