Model decision surface
Compare AI models
Start with Ling 3.0 Flash VL and Kimi K2 Thinking, 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
Ling 3.0 Flash VL vs Kimi K2 Thinking
Live dataset updated 9/15/2026, 9:19:37 PM UTC
Open 1200×630 evidence receipt| Field | Ling 3.0 Flash VL InclusionAI | Kimi K2 Thinking Moonshot AI |
|---|---|---|
| ModelCap position | #59 | #46 |
| Index score | 57.6 | 62.4 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.06 | $0.60 |
| Output / 1M | $0.18 | $2.50 |
| Pricing status | fresh | fresh |
| Context | 131K | 262K |
| Providers | 1 | 2 |
| Weight access | Open weights | Restricted license |
Decision facts
- Ling 3.0 Flash VL is #59; Kimi K2 Thinking is #46 on the same current language board.
- Index scores are 57.6 for Ling 3.0 Flash VL and 62.4 for Kimi K2 Thinking. 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 $0.18 for Ling 3.0 Flash VL and $2.50 for Kimi K2 Thinking. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.21 for Ling 3.0 Flash VL versus $2.45 for Kimi K2 Thinking. Ling 3.0 Flash VL costs 91.4% 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 131,072 tokens for Ling 3.0 Flash VL and 262,144 for Kimi K2 Thinking.
- Weight access differs: Ling 3.0 Flash VL is open; Kimi K2 Thinking is restricted.
- ModelCap currently lists 1 providers for Ling 3.0 Flash VL and 2 for Kimi K2 Thinking.
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.