Gemini 3.1 Pro Preview vs Gemma 4 26B A4B

Summary of our 12-test head-to-head (scores are from our 1–5 internal scale unless otherwise noted). Wins: Gemini 3.1 Pro Preview wins constrained rewriting (4 vs 3), creative problem solving (5 vs 4), safety calibration (2 vs 1) and agentic planning (5 vs 4). Gemma 4 26B A4B wins tool calling (5 vs 4) and classification (4 vs 2). Ties (both models scored the same): structured output (5/5), strategic analysis (5/5), faithfulness (5/5), long context (5/5), persona consistency (5/5), multilingual (5/5). Context from rankings: Gemini ties for 1st on many high-level tasks (structured output, faithfulness, long context, persona consistency, multilingual and strategic analysis) — see rankingsA showing multiple tied-for-1st placements — and holds rank 2 of 23 on AIME 2025 with a 95.6% score on AIME 2025 (Epoch AI), indicating exceptional performance on hard math problems. Gemma ranks tied for 1st on tool calling in our tests (rank 1 of 54, tied with 16 models) and tied for 1st on classification, meaning it is the better economical choice where function selection, argument accuracy and routing matter. Practical implications: choose Gemini when you need top-tier reasoning, agentic planning, constrained rewriting and math accuracy; choose Gemma when you need the best tool-calling and classification behavior at a fraction of the cost.

Output cost per 1k tokens: Gemini 3.1 Pro Preview = $12, Gemma 4 26B A4B = $0.35 (price ratio ≈ 34.29). At pure output volumes: 1M tokens → Gemini $12,000 vs Gemma $350; 10M → $120,000 vs $3,500; 100M → $1,200,000 vs $35,000. Including equal input volume (input costs: Gemini $2/1k, Gemma $0.08/1k) doubles those totals: 1M in+out → Gemini $14,000 vs Gemma $430; 10M → $140,000 vs $4,300; 100M → $1,400,000 vs $43,000. High-volume applications, startups with tight budgets, and large-scale inference infra will care deeply about this gap; teams prioritizing raw reasoning quality or AIME-level math should budget for Gemini’s much higher cost.

Choose Gemini 3.1 Pro Preview if you need top-tier reasoning/agentic planning, long-context consistency, constrained-rewriting quality, or high-performance math (95.6 on AIME 2025), and you can absorb substantially higher inference cost. Choose Gemma 4 26B A4B if you need cost-efficient production at scale, the best tool-calling and classification behavior (tool calling 5/5, classification 4/5), or are optimizing for price/performance across millions of tokens.