Model decision surface
Compare AI models
Start with DeepSeek V4.1 Flash and Kimi K2.7 Code, 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
DeepSeek V4.1 Flash vs Kimi K2.7 Code
Live dataset updated 9/15/2026, 9:19:37 PM UTC
Open 1200×630 evidence receipt| Field | DeepSeek V4.1 Flash DeepSeek | Kimi K2.7 Code Moonshot AI |
|---|---|---|
| ModelCap position | #21 | #55 |
| Index score | 75.1 | 58.5 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.15 | $0.71 |
| Output / 1M | $0.60 | $3.50 |
| Pricing status | fresh | fresh |
| Context | 1M | 262K |
| Providers | 17 | 14 |
| Weight access | Open weights | Restricted license |
Decision facts
- DeepSeek V4.1 Flash is #21; Kimi K2.7 Code is #55 on the same current language board.
- Index scores are 75.1 for DeepSeek V4.1 Flash and 58.5 for Kimi K2.7 Code. 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 $0.60 for DeepSeek V4.1 Flash and $3.50 for Kimi K2.7 Code. 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 DeepSeek V4.1 Flash versus $3.17 for Kimi K2.7 Code. DeepSeek V4.1 Flash costs 81.1% 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 DeepSeek V4.1 Flash and 262,144 for Kimi K2.7 Code.
- Weight access differs: DeepSeek V4.1 Flash is open; Kimi K2.7 Code is restricted.
- ModelCap currently lists 17 providers for DeepSeek V4.1 Flash and 14 for Kimi K2.7 Code.
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.