Compare AI models

Decision facts

• Gemini 4 Argon is #1; Gemma 4 31B is #39 on the same current language board.
• Index scores are 88.6 for Gemini 4 Argon and 69.3 for Gemma 4 31B. 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 $0.34 for Gemma 4 31B. 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 $0.35 for Gemma 4 31B. Gemma 4 31B costs 96.1% 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 262,144 for Gemma 4 31B.
• Weight access differs: Gemini 4 Argon is none; Gemma 4 31B is open.
• ModelCap currently lists 2 providers for Gemini 4 Argon and 12 for Gemma 4 31B.

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