Model decision surface
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Start with Qwen3 30B A3B Instruct 2507 and Qwen3 VL 8B 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
Qwen3 30B A3B Instruct 2507 vs Qwen3 VL 8B Thinking
Live dataset updated 8/17/2026, 11:13:20 PM UTC
Open 1200×630 evidence receipt| Field | ||
|---|---|---|
| ModelCap position | #60 | #101 |
| Index score | 42.5 | 23.7 |
| Evidence | Measured2 public benchmark observations across 2 boards | Estimatedpublisher corpus prior · leave-one-anchor-out calibrated |
| Input / 1M | $0.048 | $0.18 |
| Output / 1M | $0.193 | $2.10 |
| Pricing status | fresh | fresh |
| Context | 262K | 131K |
| Providers | 5 | 1 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen3 30B A3B Instruct 2507 is #60; Qwen3 VL 8B Thinking is #101 on the same current language board.
- Index scores are 42.5 for Qwen3 30B A3B Instruct 2507 and 23.7 for Qwen3 VL 8B Thinking.
- Evidence differs: Qwen3 30B A3B Instruct 2507 is Measured; Qwen3 VL 8B Thinking is Estimated.
- Listed output price per 1M tokens is $0.19 for Qwen3 30B A3B Instruct 2507 and $2.10 for Qwen3 VL 8B Thinking.
- Published context is 262,144 tokens for Qwen3 30B A3B Instruct 2507 and 131,072 for Qwen3 VL 8B Thinking.
- ModelCap currently lists 5 providers for Qwen3 30B A3B Instruct 2507 and 1 for Qwen3 VL 8B 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.