Model decision surface
Compare AI models
Start with MiniMax M3.1 Flash and Kimi K3, 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
MiniMax M3.1 Flash vs Kimi K3
Live dataset updated 10/23/2026, 8:09:43 AM UTC
Open 1200×630 evidence receipt| Field | MiniMax M3.1 Flash MiniMax | Kimi K3 Moonshot AI |
|---|---|---|
| ModelCap position | #22 | #10 |
| Index score | 77.4 | 80.4 |
| Evidence | Estimatedpublisher-corpus-prior over 211 held-out anchors (6%); launch card against 5 resolved peers on 6 rows (94%); optimism haircut 0 from cross-lab-probe; shrunk 1.9 toward the measured corpus | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $0.15 | $0.239 |
| Output / 1M | $0.60 | $11.94 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 5 | 21 |
| Weight access | Restricted license | Restricted license |
Decision facts
- MiniMax M3.1 Flash is #22; Kimi K3 is #10 on the same current language board.
- Index scores are 77.4 for MiniMax M3.1 Flash and 80.4 for Kimi K3. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
- Evidence differs: MiniMax M3.1 Flash is Estimated; Kimi K3 is Measured.
- Listed output price per 1M tokens is $0.60 for MiniMax M3.1 Flash and $11.94 for Kimi K3. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.60 for MiniMax M3.1 Flash versus $6.45 for Kimi K3. MiniMax M3.1 Flash costs 90.7% 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 1,048,576 tokens for MiniMax M3.1 Flash and 1,048,576 for Kimi K3.
- ModelCap currently lists 5 providers for MiniMax M3.1 Flash and 21 for Kimi K3.
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.