Model decision surface
Compare AI models
Start with Qwen3 Coder Next and Qwen3 Next 80B A3B 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 Next vs Qwen3 Next 80B A3B Instruct
Live dataset updated 10/1/2026, 9:09:05 PM UTC
Open 1200×630 evidence receipt| Field | Qwen3 Coder Next Qwen | |
|---|---|---|
| ModelCap position | #110 | #98 |
| Index score | 53.3 | 54.7 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured2 public benchmark observations across 2 boards |
| Input / 1M | $0.12 | $0.10 |
| Output / 1M | $0.80 | $1.10 |
| Pricing status | fresh | fresh |
| Context | 262K | 262K |
| Providers | 4 | 5 |
| Weight access | Open weights | Open weights |
Decision facts
- Qwen3 Coder Next is #110; Qwen3 Next 80B A3B Instruct is #98 on the same current language board.
- Index scores are 53.3 for Qwen3 Coder Next and 54.7 for Qwen3 Next 80B A3B 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 $0.80 for Qwen3 Coder Next and $1.10 for Qwen3 Next 80B A3B Instruct. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.64 for Qwen3 Coder Next versus $0.75 for Qwen3 Next 80B A3B Instruct. Qwen3 Coder Next costs 14.7% 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 Next and 262,144 for Qwen3 Next 80B A3B Instruct.
- ModelCap currently lists 4 providers for Qwen3 Coder Next and 5 for Qwen3 Next 80B A3B 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.