Compare AI models

Decision facts

• Gemini 4 Argon is #1; Gemma 3 4B is #241 on the same current language board.
• Index scores are 88.6 for Gemini 4 Argon and 26.8 for Gemma 3 4B. Their published uncertainty intervals do not overlap, but the aggregate Index does not predict performance on every task; compare the relevant benchmark configurations before choosing.
• Both positions use Measured evidence.
• Listed output price per 1M tokens is $10.00 for Gemini 4 Argon and $0.10 for Gemma 3 4B. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for Gemini 4 Argon versus $0.15 for Gemma 3 4B. Gemma 3 4B costs 98.3% 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 4 Argon and 131,072 for Gemma 3 4B.
• Weight access differs: Gemini 4 Argon is none; Gemma 3 4B is gated.
• ModelCap currently lists 2 providers for Gemini 4 Argon and 1 for Gemma 3 4B.

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