Gemini 3.1 Pro Preview vs GPT-5.4 Nano

Across our 12-test suite (ties excluded), Gemini 3.1 Pro Preview wins 3 benchmarks and GPT-5.4 Nano wins 2; 7 tests are ties. Direct comparisons from our testing: Gemini wins creative_problem_solving 5 vs 4, faithfulness 5 vs 4, and agentic_planning 5 vs 4 — indicating stronger non-obvious idea generation, stricter adherence to source material, and better goal decomposition/failure recovery. GPT-5.4 Nano wins classification 3 vs 2 and safety_calibration 3 vs 2 — suggesting slightly better routing/categorization and safer refusal behavior in our tests. They tie on structured_output (5/5), strategic_analysis (5/5), constrained_rewriting (4/4), tool_calling (4/4), long_context (5/5), persona_consistency (5/5), and multilingual (5/5) — meaning both models produce equivalent results for JSON/schema adherence, long-context retrieval (30K+ tokens), persona stability, multilingual output, and function selection at the tested settings. On the external math benchmark AIME 2025 (Epoch AI), Gemini scores 95.6% (rank 2 of 23) vs GPT-5.4 Nano 87.8% (rank 8 of 23), supporting Gemini’s edge on hard quantitative reasoning. Use the rankings to interpret impact: Gemini’s faithfulness and long-context scores are tied for 1st among many models in our pool (e.g., faithfulness tied for 1st with 32 others), while GPT-5.4 Nano’s safety_calibration ranks slightly higher (rank 10 of 55) than Gemini (rank 12 of 55) in our testing.

Output cost per 1,000 tokens: Gemini 3.1 Pro Preview $12.00, GPT-5.4 Nano $1.25 (price ratio 9.6). Per 1,000,000 output tokens that’s $12,000 (Gemini) vs $1,250 (GPT). At 10M output tokens: $120,000 vs $12,500. At 100M output tokens: $1,200,000 vs $125,000. Input costs widen the gap slightly (Gemini $2/1k input vs GPT $0.20/1k). Who should care: teams running millions of tokens/month for chatbots, batch generation, or analytics will see six-figure differences; small-volume experimental users or high-value multimodal reasoning workloads may accept Gemini’s premium for its higher scores in faithfulness and creative reasoning.

Choose Gemini 3.1 Pro Preview if you need highest-fidelity reasoning, creative problem solving, agentic workflows, or top-tier math/quantitative performance (AIME 2025: 95.6% in external Epoch AI testing) and can justify higher token costs. Choose GPT-5.4 Nano if you need low-latency, high-volume, cost-efficient production (output $1.25/1k vs $12/1k for Gemini), slightly better classification and safety_calibration in our tests, and near-parity on structured output, long context, and multilingual tasks.