Gemini 3 Flash Preview vs GPT-4o-mini

Across our 12-test suite, Gemini 3 Flash Preview wins 10 tasks, GPT-4o-mini wins 1, and the two tie on 1. Key wins for Gemini in our testing: structured_output 5 vs 4 (Gemini tied for 1st of 54, tied with 24 others), tool_calling 5 vs 4 (Gemini tied for 1st of 54 with 16 others), long_context 5 vs 4 (Gemini tied for 1st of 55 with 36 others), strategic_analysis 5 vs 2 (Gemini tied for 1st of 54), creative_problem_solving 5 vs 2 (Gemini tied for 1st of 54), agentic_planning 5 vs 3 (Gemini tied for 1st of 54), faithfulness 5 vs 3 (Gemini tied for 1st of 55; GPT-4o-mini ranks 52 of 55), persona_consistency 5 vs 4 (Gemini tied for 1st of 53), constrained_rewriting 4 vs 3 (Gemini rank 6 of 53), and multilingual 5 vs 4 (Gemini tied for 1st of 55). GPT-4o-mini’s clear advantage in our testing is safety_calibration 4 vs 1 (GPT-4o-mini ranks 6 of 55 while Gemini ranks 32 of 55), which means GPT-4o-mini more reliably refuses harmful requests and better balances permissiveness vs refusal in our safety tests. Classification ties at 4/4 and both models are tied for 1st on that task in our suite. External benchmarks (Epoch AI) reinforce the gap on coding/math tasks: Gemini scores 75.4% on SWE-bench Verified (Epoch AI) and 92.8% on AIME 2025 (Epoch AI); GPT-4o-mini scores 52.6% on MATH Level 5 (Epoch AI) and 6.9% on AIME 2025 (Epoch AI). For real tasks, these differences mean Gemini is noticeably stronger for tool-driven workflows, long retrieval contexts, and math/coding-heavy problems, while GPT-4o-mini is preferable where safer refusals and much lower cost matter.

Per the payload, Gemini 3 Flash Preview costs $0.50 per 1K input tokens and $3.00 per 1K output tokens; GPT-4o-mini costs $0.15 per 1K input and $0.60 per 1K output. Using a 50/50 split of input/output tokens as a practical example: per 1M total tokens Gemini costs $1,750 (500k input = $250; 500k output = $1,500) while GPT-4o-mini costs $375 (500k input = $75; 500k output = $300). At 10M tokens/month those totals scale to $17,500 vs $3,750; at 100M tokens/month to $175,000 vs $37,500. The payload also provides a priceRatio of 5, reflecting the ~5× overall cost gap. Teams with heavy traffic or tight ML budgets should care: GPT-4o-mini reduces recurring token bills by roughly an order of magnitude at scale, while organizations prioritizing top benchmark performance may accept Gemini’s higher bill.

Choose Gemini 3 Flash Preview if you need top-tier tool calling, long-context retrieval (>30K tokens), high faithfulness for coding or complex analysis, multi-modal inputs including audio/video, and you can absorb higher token costs. Choose GPT-4o-mini if you need an affordable, safe default for high-volume chat or classification where safety calibration matters and you must minimize token spend — it preserves strong classification (tie) at a fraction of the cost.