Gemini 3.1 Pro Preview vs GPT-4.1 Nano

Across our 12-test suite Gemini 3.1 Pro Preview wins the majority: strategic_analysis 5 vs GPT‑4.1 Nano 2 (Gemini ranks tied for 1st among 54 models), creative_problem_solving 5 vs 2 (Gemini tied for 1st), long_context 5 vs 4 (Gemini tied for 1st), persona_consistency 5 vs 4 (Gemini tied for 1st), agentic_planning 5 vs 4 (Gemini tied for 1st), and multilingual 5 vs 4 (Gemini tied for 1st). GPT‑4.1 Nano’s clear win is classification (3 vs Gemini’s 2; GPT ranks 31 of 53 vs Gemini rank 51 of 53). Ties: structured_output (both 5, tied for 1st), constrained_rewriting (both 4, rank 6 of 53), tool_calling (both 4), faithfulness (both 5, tied for 1st), and safety_calibration (both 2). Practical interpretation: Gemini’s 5/5 in strategic_analysis and creative_problem_solving means stronger performance on nuanced tradeoff reasoning and generating specific feasible ideas; its 5/5 long_context and persona_consistency indicate better retrieval and sustained behavior over 30K+ tokens. GPT‑4.1 Nano’s higher classification score implies more reliable routing/categorization in streaming or low-latency pipelines. External benchmarks (Epoch AI) underscore math performance differences: Gemini scores 95.6% on AIME 2025 (Epoch AI) vs GPT‑4.1 Nano 28.9% on AIME 2025 (Epoch AI); GPT‑4.1 Nano has 70% on MATH Level 5 (Epoch AI) while Gemini does not report a MATH Level 5 score in the payload. Those external results reinforce Gemini’s edge on hard reasoning benchmarks and GPT‑4.1 Nano’s relative strength on some competition math subsets.

Per-mTok pricing from the payload: Gemini 3.1 Pro Preview input $2 and output $12; GPT-4.1 Nano input $0.10 and output $0.40. Per million tokens (1,000 mTok): Gemini input $2,000 and output $12,000 (combined $14,000 if input and output volumes are equal). GPT-4.1 Nano per million: input $100 and output $400 (combined $500 equal split). At 10M tokens/month Gemini = $140,000 vs GPT‑4.1 Nano = $5,000; at 100M tokens/month Gemini = $1,400,000 vs GPT‑4.1 Nano = $50,000. The 30× priceRatio means enterprises that need top-tier reasoning, long-context handling, or multimodal, agentic workflows may justify Gemini’s cost; any high-volume product, rapid prototyping, or cost-constrained startup should prefer GPT-4.1 Nano for orders-of-magnitude lower operating cost.

Choose Gemini 3.1 Pro Preview if you need best-in-class strategic reasoning, creative problem solving, long-context retrieval (30K+ tokens), strong persona consistency, or multilingual parity and you can absorb higher inference costs. Choose GPT-4.1 Nano if you need low-latency, low-cost inference at scale, better out-of-the-box classification, or are running high-volume production workloads where the 30× price gap matters.