Model decision surface
Compare AI models
Start with Claude Haiku 4.5 and Ling-3.0-flash, 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
Claude Haiku 4.5 vs Ling-3.0-flash
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | Claude Haiku 4.5 Anthropic | Ling-3.0-flash InclusionAI |
|---|---|---|
| ModelCap position | #45 | #42 |
| Index score | 52.3 | 53.0 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $1.00 | $0.021 |
| Output / 1M | $5.00 | $0.063 |
| Pricing status | fresh | fresh |
| Context | 200K | 262K |
| Providers | 4 | 2 |
| Weight access | API only | Open weights |
Decision facts
- Claude Haiku 4.5 is #45; Ling-3.0-flash is #42 on the same current language board.
- Index scores are 52.3 for Claude Haiku 4.5 and 53.0 for Ling-3.0-flash.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $5.00 for Claude Haiku 4.5 and $0.06 for Ling-3.0-flash.
- Published context is 200,000 tokens for Claude Haiku 4.5 and 262,144 for Ling-3.0-flash.
- Weight access differs: Claude Haiku 4.5 is none; Ling-3.0-flash is open.
- ModelCap currently lists 4 providers for Claude Haiku 4.5 and 2 for Ling-3.0-flash.
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.