Model decision surface
Compare AI models
Start with Kimi K3.1 Pro 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
Kimi K3.1 Pro vs MiMo-V2.6-Pro
Live dataset updated 10/24/2026, 7:29:10 PM UTC
Open 1200×630 evidence receipt| Field | Kimi K3.1 Pro Moonshot AI | MiMo-V2.6-Pro Xiaomi |
|---|---|---|
| ModelCap position | #21 | #20 |
| Index score | 78.6 | 79.0 |
| Evidence | Estimated1 reported rows against measured corpus ladders (61%); publisher-corpus-prior over 211 held-out anchors (39%); shrunk 4 toward the measured corpus | Measured3 public benchmark observations across 3 boards |
| Input / 1M | $2.00 | $0.435 |
| Output / 1M | $10.00 | $0.87 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 1 | 5 |
| Weight access | No linked weights | Open weights |
Decision facts
- Kimi K3.1 Pro is #21; MiMo-V2.6-Pro is #20 on the same current language board.
- Index scores are 78.6 for Kimi K3.1 Pro and 79.0 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.
- Evidence differs: Kimi K3.1 Pro is Estimated; MiMo-V2.6-Pro is Measured.
- Listed output price per 1M tokens is $10.00 for Kimi K3.1 Pro 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 $9.00 for Kimi K3.1 Pro versus $1.30 for MiMo-V2.6-Pro. MiMo-V2.6-Pro costs 85.5% 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 Kimi K3.1 Pro and 1,050,000 for MiMo-V2.6-Pro.
- Weight access differs: Kimi K3.1 Pro is none; MiMo-V2.6-Pro is open.
- ModelCap currently lists 1 providers for Kimi K3.1 Pro and 5 for MiMo-V2.6-Pro.
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.