Model decision surface
Compare AI models
Start with Qwen3.5-122B-A10B and Qwen3.5-9B, 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
Qwen3.5-122B-A10B vs Qwen3.5-9B
Live dataset updated 10/2/2026, 12:44:27 PM UTC
Open 1200×630 evidence receipt| Field | Qwen3.5-9B Qwen | |
|---|---|---|
| ModelCap position | #77 | #95 |
| Index score | 59.5 | 54.9 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.26 | $0.10 |
| Output / 1M | $2.08 | $0.15 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 4 | 6 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen3.5-122B-A10B is #77; Qwen3.5-9B is #95 on the same current language board.
- Index scores are 59.5 for Qwen3.5-122B-A10B and 54.9 for Qwen3.5-9B. 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 $2.08 for Qwen3.5-122B-A10B and $0.15 for Qwen3.5-9B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.56 for Qwen3.5-122B-A10B versus $0.27 for Qwen3.5-9B. Qwen3.5-9B costs 82.4% 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 262,144 tokens for Qwen3.5-122B-A10B and 262,144 for Qwen3.5-9B.
- ModelCap currently lists 4 providers for Qwen3.5-122B-A10B and 6 for Qwen3.5-9B.
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.