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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 31B and Muse Glimmer 30B, 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

Gemma 4 31B vs Muse Glimmer 30B

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

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 31B and Muse Glimmer 30B
Field
ModelCap position#27#28
Index score69.768.4
EvidenceMeasured3 public benchmark observations across 3 boardsMeasuredpublisher-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 corpus
Input / 1M$0.09$0.30
Output / 1M$0.34$1.10
Pricing statusfreshfresh
Context262K131K
Providers134
Weight accessOpen weightsOpen weights

Decision facts

  • Gemma 4 31B is #27; Muse Glimmer 30B is #28 on the same current language board.
  • Index scores are 69.7 for Gemma 4 31B and 68.4 for Muse Glimmer 30B. 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 $0.34 for Gemma 4 31B and $1.10 for Muse Glimmer 30B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.35 for Gemma 4 31B versus $1.15 for Muse Glimmer 30B. Gemma 4 31B costs 69.6% 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 262,144 tokens for Gemma 4 31B and 131,072 for Muse Glimmer 30B.
  • ModelCap currently lists 13 providers for Gemma 4 31B and 4 for Muse Glimmer 30B.

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.