Model decision surface
Compare AI models
Start with Qwen3 Coder 480B A35B and Qwen3 VL 235B A22B Instruct, 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 Coder 480B A35B vs Qwen3 VL 235B A22B Instruct
Live dataset updated 11/6/2026, 8:49:50 PM UTC
Open 1200×630 evidence receipt| Field | ||
|---|---|---|
| ModelCap position | #131 | #96 |
| Index score | 49.8 | 57.6 |
| Evidence | Measured2 public benchmark observations across 2 boards | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.30 | $0.21 |
| Output / 1M | $1.00 | $1.90 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 2 | 3 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen3 Coder 480B A35B is #131; Qwen3 VL 235B A22B Instruct is #96 on the same current language board.
- Index scores are 49.8 for Qwen3 Coder 480B A35B and 57.6 for Qwen3 VL 235B A22B Instruct. 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 $1.00 for Qwen3 Coder 480B A35B and $1.90 for Qwen3 VL 235B A22B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.10 for Qwen3 Coder 480B A35B versus $1.37 for Qwen3 VL 235B A22B Instruct. Qwen3 Coder 480B A35B costs 19.7% 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 262,144 tokens for Qwen3 Coder 480B A35B and 262,144 for Qwen3 VL 235B A22B Instruct.
- ModelCap currently lists 2 providers for Qwen3 Coder 480B A35B and 3 for Qwen3 VL 235B A22B Instruct.
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.