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ModelCap

Model decision surface

Compare AI models

Start with Gemma 4 31B and GPT-6 Astra, 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 GPT-6 Astra

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

Open 1200×630 evidence receipt
Factual comparison of Gemma 4 31B and GPT-6 Astra
Field
ModelCap position#27#1
Index score69.793.7
EvidenceMeasured3 public benchmark observations across 3 boardsMeasured4 public benchmark observations across 4 boards
Input / 1M$0.09$10.00
Output / 1M$0.34$50.00
Pricing statusfreshfresh
Context262K1M
Providers132
Weight accessOpen weightsAPI only

Decision facts

  • Gemma 4 31B is #27; GPT-6 Astra is #1 on the same current language board.
  • Index scores are 69.7 for Gemma 4 31B and 93.7 for GPT-6 Astra. 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 $50.00 for GPT-6 Astra. 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 $45.00 for GPT-6 Astra. Gemma 4 31B costs 99.2% 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 1,050,000 for GPT-6 Astra.
  • Weight access differs: Gemma 4 31B is open; GPT-6 Astra is none.
  • ModelCap currently lists 13 providers for Gemma 4 31B and 2 for GPT-6 Astra.

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.