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ModelCap

Model decision surface

Compare AI models

Start with Gemini 3.8 Flash and Gemini 4 Argon, 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

Gemini 3.8 Flash vs Gemini 4 Argon

Live dataset updated 10/13/2026, 6:04:47 PM UTC

Open 1200×630 evidence receipt
Factual comparison of Gemini 3.8 Flash and Gemini 4 Argon
Field
ModelCap position#3#33
Index score84.673.0
EvidenceMeasured5 public benchmark observations across 5 boardsEstimated1 reported rows against measured corpus ladders (72%); publisher-corpus-prior over 211 held-out anchors (28%); shrunk 3.7 toward the measured corpus
Input / 1M$0.75$2.00
Output / 1M$3.75$10.00
Pricing statusfreshfresh
Context1M1M
Providers22
Weight accessNo linked weightsNo linked weights

Decision facts

  • Gemini 3.8 Flash is #3; Gemini 4 Argon is #33 on the same current language board.
  • Index scores are 84.6 for Gemini 3.8 Flash and 73.0 for Gemini 4 Argon. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
  • Evidence differs: Gemini 3.8 Flash is Measured; Gemini 4 Argon is Estimated.
  • Listed output price per 1M tokens is $3.75 for Gemini 3.8 Flash and $10.00 for Gemini 4 Argon. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.38 for Gemini 3.8 Flash versus $9.00 for Gemini 4 Argon. Gemini 3.8 Flash costs 62.5% 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 1,048,576 tokens for Gemini 3.8 Flash and 1,048,576 for Gemini 4 Argon.

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.