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ModelCap

Model decision surface

Compare AI models

Start with Muse Glimmer 30B and GPT-5.5, 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-5.5

Live dataset updated 9/9/2026, 8:46:14 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Muse Glimmer 30B and GPT-5.5
Field
GPT-5.5

OpenAI

ModelCap position#28#9
Index score68.479.8
EvidenceMeasuredpublisher-corpus-prior over 182 held-out anchors (37%); 1 specialist-board observation at 1.3% support (21%); launch card against 2 resolved peers on 12 rows (42%); exceeds every named peer on 6 of 12 rows; optimism haircut 0 from cross-lab-probe; shrunk 8.1 up toward the measured corpusMeasured7 public benchmark observations across 7 boards
Input / 1M$0.30$5.00
Output / 1M$1.10$30.00
Pricing statusfreshfresh
Context131K1M
Providers43
Weight accessOpen weightsAPI only

Decision facts

  • Muse Glimmer 30B is #28; GPT-5.5 is #9 on the same current language board.
  • Index scores are 68.4 for Muse Glimmer 30B and 79.8 for GPT-5.5. 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 $30.00 for GPT-5.5. 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 $25.00 for GPT-5.5. Muse Glimmer 30B costs 95.4% 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-5.5.
  • Weight access differs: Muse Glimmer 30B is open; GPT-5.5 is none.
  • ModelCap currently lists 4 providers for Muse Glimmer 30B and 3 for GPT-5.5.

These are separate published fields, not a synthetic winner. ModelCap does not collapse price, access, context, and capability evidence into a hidden recommendation score.

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.