Model decision surface
Compare AI models
Start with GPT-6 Astra and Qwen3.7 Plus, 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-6 Astra vs Qwen3.7 Plus
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | GPT-6 Astra OpenAI | Qwen3.7 Plus Qwen |
|---|---|---|
| ModelCap position | #1 | #28 |
| Index score | 95.7 | 69.1 |
| Evidence | Measured4 public benchmark observations across 4 boards | Measured4 public benchmark observations across 4 boards |
| Input / 1M | $10.00 | $0.32 |
| Output / 1M | $50.00 | $1.28 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 2 | 1 |
| Weight access | API only | API only |
Decision facts
- GPT-6 Astra is #1; Qwen3.7 Plus is #28 on the same current language board.
- Index scores are 95.7 for GPT-6 Astra and 69.1 for Qwen3.7 Plus. 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 $50.00 for GPT-6 Astra and $1.28 for Qwen3.7 Plus. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $45.00 for GPT-6 Astra versus $1.28 for Qwen3.7 Plus. Qwen3.7 Plus costs 97.2% 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 1,050,000 tokens for GPT-6 Astra and 1,000,000 for Qwen3.7 Plus.
- ModelCap currently lists 2 providers for GPT-6 Astra and 1 for Qwen3.7 Plus.
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.