Model decision surface
Compare AI models
Start with GPT-6.1 Sol and GPT-6 Luna, 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-6.1 Sol vs GPT-6 Luna
Live dataset updated 9/30/2026, 12:23:54 AM UTC
Open 1200×630 evidence receipt| Field | GPT-6.1 Sol OpenAI | GPT-6 Luna OpenAI |
|---|---|---|
| ModelCap position | #3 | #32 |
| Index score | 88.3 | 71.2 |
| Evidence | Measured1 public benchmark observation across 1 board | Measured6 public benchmark observations across 6 boards |
| Input / 1M | $2.00 | $0.10 |
| Output / 1M | $10.00 | $0.50 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 2 | 3 |
| Weight access | API only | API only |
Decision facts
- GPT-6.1 Sol is #3; GPT-6 Luna is #32 on the same current language board.
- Index scores are 88.3 for GPT-6.1 Sol and 71.2 for GPT-6 Luna. 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 $10.00 for GPT-6.1 Sol and $0.50 for GPT-6 Luna. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for GPT-6.1 Sol versus $0.45 for GPT-6 Luna. GPT-6 Luna costs 95.0% 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-6.1 Sol and 1,050,000 for GPT-6 Luna.
- ModelCap currently lists 2 providers for GPT-6.1 Sol and 3 for GPT-6 Luna.
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.