Model decision surface
Compare AI models
Start with Hy4 preview and MiMo-V2.6-Pro, 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
Hy4 preview vs MiMo-V2.6-Pro
Live dataset updated 9/22/2026, 1:40:35 AM UTC
Open 1200×630 evidence receipt| Field | Hy4 preview Tencent | MiMo-V2.6-Pro Xiaomi |
|---|---|---|
| ModelCap position | #26 | #5 |
| Index score | 73.3 | 84.9 |
| Evidence | Measured9 reported rows against measured corpus ladders (41%); publisher-corpus-prior over 202 held-out anchors (12%); opens above measured predecessor tencent/hy3 on same-family ordering evidence (39%); 1 specialist-board observation at 2.5% support (9%); shrunk 1.2 toward the measured corpus | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.834 | $0.435 |
| Output / 1M | $2.50 | $0.87 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 1 | 1 |
| Weight access | Open weights | API only |
Decision facts
- Hy4 preview is #26; MiMo-V2.6-Pro is #5 on the same current language board.
- Index scores are 73.3 for Hy4 preview and 84.9 for MiMo-V2.6-Pro. 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 Hy4 preview and $0.87 for MiMo-V2.6-Pro. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.92 for Hy4 preview versus $1.30 for MiMo-V2.6-Pro. MiMo-V2.6-Pro costs 55.3% 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 Hy4 preview and 1,048,576 for MiMo-V2.6-Pro.
- Weight access differs: Hy4 preview is open; MiMo-V2.6-Pro is none.
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.