Model decision surface
Compare AI models
Start with GPT-6.1 Sol and GPT-6.1 Terra, 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-6.1 Terra
Live dataset updated 11/6/2026, 8:49:50 PM UTC
Open 1200×630 evidence receipt| Field | GPT-6.1 Sol OpenAI | GPT-6.1 Terra OpenAI |
|---|---|---|
| ModelCap position | #8 | #29 |
| Index score | 81.4 | 75.4 |
| Evidence | Measured5 public benchmark observations across 5 boards | Measured1 reported rows against measured corpus ladders (21%); publisher-corpus-prior over 210 held-out anchors (14%); opens above measured predecessor openai/gpt-5.6-terra on same-family ordering evidence (53%); 1 specialist-board observation at 2.5% support (12%); shrunk 3.5 toward the measured corpus |
| Input / 1M | $2.00 | $1.00 |
| Output / 1M | $10.00 | $5.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 3 | 3 |
| Weight access | No linked weights | No linked weights |
Decision facts
- GPT-6.1 Sol is #8; GPT-6.1 Terra is #29 on the same current language board.
- Index scores are 81.4 for GPT-6.1 Sol and 75.4 for GPT-6.1 Terra. 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 $5.00 for GPT-6.1 Terra. 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 $4.50 for GPT-6.1 Terra. GPT-6.1 Terra costs 50.0% 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-6.1 Terra.
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.