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Start with Gemma 3 4B and Mistral Small 4, 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.

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Current public data

Gemma 3 4B vs Mistral Small 4

Live dataset updated 9/15/2026, 9:19:37 PM UTC

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Factual comparison of Gemma 3 4B and Mistral Small 4
Field	Gemma 3 4B Google	Mistral Small 4 Mistral AI
ModelCap position	#179	#117
Index score	19.6	40.7
Evidence	Measured2 public benchmark observations across 2 boards	Measured1 public benchmark observation across 1 board
Input / 1M	$0.05	$0.15
Output / 1M	$0.10	$0.60
Pricing status	fresh	fresh
Context	131K	262K
Providers	1	2
Weight access	Gated access	Open weights

Decision facts

Gemma 3 4B is #179; Mistral Small 4 is #117 on the same current language board.
Index scores are 19.6 for Gemma 3 4B and 40.7 for Mistral Small 4. 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 $0.10 for Gemma 3 4B and $0.60 for Mistral Small 4. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.15 for Gemma 3 4B versus $0.60 for Mistral Small 4. Gemma 3 4B costs 75.0% 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 131,072 tokens for Gemma 3 4B and 262,144 for Mistral Small 4.
Weight access differs: Gemma 3 4B is gated; Mistral Small 4 is open.
ModelCap currently lists 1 providers for Gemma 3 4B and 2 for Mistral Small 4.

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

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