Model decision surface
Compare AI models
Start with Muse Wonder 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
Muse Wonder vs GPT-6.1 Terra
Live dataset updated 11/6/2026, 8:49:50 PM UTC
Open 1200×630 evidence receipt| Field | Muse Wonder Meta | GPT-6.1 Terra OpenAI |
|---|---|---|
| ModelCap position | #4 | #29 |
| Index score | 85.5 | 75.4 |
| Evidence | Measured3 public benchmark observations across 3 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 | $4.00 | $1.00 |
| Output / 1M | $20.00 | $5.00 |
| Pricing status | fresh | fresh |
| Context | 1M | 1M |
| Providers | 1 | 3 |
| Weight access | No linked weights | No linked weights |
Decision facts
- Muse Wonder is #4; GPT-6.1 Terra is #29 on the same current language board.
- Index scores are 85.5 for Muse Wonder 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 $20.00 for Muse Wonder 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 $18.00 for Muse Wonder versus $4.50 for GPT-6.1 Terra. GPT-6.1 Terra costs 75.0% 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 1,048,576 tokens for Muse Wonder and 1,050,000 for GPT-6.1 Terra.
- ModelCap currently lists 1 providers for Muse Wonder and 3 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.