Model decision surface
Compare AI models
Start with GPT-5.6 Luna and Qwen3.8 Flash, 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
GPT-5.6 Luna vs Qwen3.8 Flash
Live dataset updated 9/3/2026, 3:06:08 AM UTC
Open 1200×630 evidence receipt| Field | GPT-5.6 Luna OpenAI | Qwen3.8 Flash Qwen |
|---|---|---|
| ModelCap position | #18 | #17 |
| Index score | 69.7 | 72.1 |
| Evidence | Measured6 public benchmark observations across 6 boards | Measured1 public benchmark observation across 1 board |
| Input / 1M | $0.20 | $0.15 |
| Output / 1M | $1.20 | $0.47 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 3 | 1 |
| Weight access | API only | Restricted license |
Decision facts
- GPT-5.6 Luna is #18; Qwen3.8 Flash is #17 on the same current language board.
- Index scores are 69.7 for GPT-5.6 Luna and 72.1 for Qwen3.8 Flash.
- Both positions use Measured evidence.
- Listed output price per 1M tokens is $1.20 for GPT-5.6 Luna and $0.47 for Qwen3.8 Flash.
- Published context is 1,050,000 tokens for GPT-5.6 Luna and 1,000,000 for Qwen3.8 Flash.
- Weight access differs: GPT-5.6 Luna is none; Qwen3.8 Flash is restricted.
- ModelCap currently lists 3 providers for GPT-5.6 Luna and 1 for Qwen3.8 Flash.
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.