Model decision surface
Compare AI models
Start with Muse Glimmer 30B and GPT-5.6 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 Glimmer 30B vs GPT-5.6 Terra
Live dataset updated 9/9/2026, 9:50:24 PM UTC
Open 1200×630 evidence receipt| Field | Muse Glimmer 30B Meta | GPT-5.6 Terra OpenAI |
|---|---|---|
| ModelCap position | #27 | #17 |
| Index score | 70.0 | 76.8 |
| Evidence | Measuredpublisher-corpus-prior over 180 held-out anchors (64%); 1 specialist-board observation at 1.3% support (36%); shrunk 22.3 up toward the measured corpus | Measured6 public benchmark observations across 6 boards |
| Input / 1M | $0.30 | $2.00 |
| Output / 1M | $1.10 | $12.00 |
| Pricing status | fresh | fresh |
| Context | 131K | 1M |
| Providers | 4 | 3 |
| Weight access | Open weights | API only |
Decision facts
- Muse Glimmer 30B is #27; GPT-5.6 Terra is #17 on the same current language board.
- Index scores are 70.0 for Muse Glimmer 30B and 76.8 for GPT-5.6 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 $1.10 for Muse Glimmer 30B and $12.00 for GPT-5.6 Terra. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.15 for Muse Glimmer 30B versus $10.00 for GPT-5.6 Terra. Muse Glimmer 30B costs 88.5% 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 131,072 tokens for Muse Glimmer 30B and 1,050,000 for GPT-5.6 Terra.
- Weight access differs: Muse Glimmer 30B is open; GPT-5.6 Terra is none.
- ModelCap currently lists 4 providers for Muse Glimmer 30B and 3 for GPT-5.6 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.