Model decision surface
Compare AI models
Start with Gemma 3 27B and Qwen3 Coder Next, 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
Gemma 3 27B vs Qwen3 Coder Next
Live dataset updated 9/3/2026, 2:20:18 AM UTC
Open 1200×630 evidence receipt| Field | Gemma 3 27B | Qwen3 Coder Next Qwen |
|---|---|---|
| ModelCap position | #90 | #91 |
| Index score | 28.5 | 28.0 |
| Evidence | Measured3 public benchmark observations across 3 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.08 | $0.12 |
| Output / 1M | $0.45 | $0.80 |
| Pricing status | fresh | fresh |
| Context | 131K | 262K |
| Providers | 4 | 4 |
| Weight access | Gated access | Open weights |
Decision facts
- Gemma 3 27B is #90; Qwen3 Coder Next is #91 on the same current language board.
- Index scores are 28.5 for Gemma 3 27B and 28.0 for Qwen3 Coder Next.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $0.45 for Gemma 3 27B and $0.80 for Qwen3 Coder Next.
- Published context is 131,072 tokens for Gemma 3 27B and 262,144 for Qwen3 Coder Next.
- Weight access differs: Gemma 3 27B is gated; Qwen3 Coder Next is open.
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.