Gemini 2.5 Flash vs GPT-4.1 Mini

We ran a 12-test suite and compare per-test scores (1-5) and ranks. In our testing:

• Gemini wins (in our testing) on creative_problem_solving 4 vs 3 (Gemini rank 9 of 54, GPT rank 30 of 54). That means Gemini generates more specific, feasible ideas for ambiguous prompts.
• Gemini wins on tool_calling 5 vs 4 (Gemini tied for 1st with 16 others of 54; GPT rank 18 of 54). This is the clearest functional gap: Gemini is top-tier at selecting functions, arguments, and sequencing for agent workflows.
• Gemini wins on safety_calibration 4 vs 2 (Gemini rank 6 of 55; GPT rank 12 of 55). In practice Gemini is more likely to refuse harmful requests while permitting legitimate ones.
• GPT-4.1 Mini wins (in our testing) on strategic_analysis 4 vs 3 (GPT rank 27 of 54; Gemini rank 36 of 54). GPT is better at nuanced trade-off reasoning with numbers in our tests.
• Ties (same score) across structured_output 4/4, constrained_rewriting 4/4, faithfulness 4/4, classification 3/3, long_context 5/5, persona_consistency 5/5, agentic_planning 4/4, and multilingual 5/5. For example both models tied for 1st on long_context (tied with 36 others), so retrieval and coherence at 30K+ tokens are equivalently strong in our suite. External benchmarks: GPT-4.1 Mini posts 87.3% on MATH Level 5 and 44.7% on AIME 2025 (Epoch AI); those external math scores are supplementary evidence of GPT-4.1 Mini’s math capability on those third-party tests. Gemini has no external Epoch AI scores in the payload. What this means for real tasks: pick Gemini when building tool-driven agents, automation pipelines, or when safety refusal behavior is critical. Pick GPT-4.1 Mini when you want similar long-context performance and lower output cost, or when strategic numeric tradeoffs are central.

Costs shown are per 1,000 tokens (mTok). Gemini 2.5 Flash: input $0.30/mTok, output $2.50/mTok. GPT-4.1 Mini: input $0.40/mTok, output $1.60/mTok. Assuming a 50/50 split of input vs output tokens (explicit assumption):

• 1M tokens (1,000 mTok total): Gemini = (500 mTok * $0.30) + (500 mTok * $2.50) = $1,400. GPT-4.1 Mini = (500 mTok * $0.40) + (500 mTok * $1.60) = $1,000. Delta = $400/1M tokens.
• 10M tokens: Gemini $14,000 vs GPT-4.1 Mini $10,000. Delta = $4,000.
• 100M tokens: Gemini $140,000 vs GPT-4.1 Mini $100,000. Delta = $40,000. Practical takeaway: output-cost differences dominate (Gemini output $2.50 vs GPT $1.60). High-volume apps, startups on tight budgets, or features with heavy output generation should prefer GPT-4.1 Mini for cost efficiency; teams that need best-in-class tool orchestration or tighter safety behavior may accept Gemini's higher bill.

Choose Gemini 2.5 Flash if: you need best-in-class tool calling (5 vs 4), stronger safety calibration (4 vs 2), superior creative problem solving (4 vs 3), larger max output tokens (65,535 vs 32,768), or multimodal ingestion including audio/video. Choose GPT-4.1 Mini if: you need a lower per-output-token bill ($1.60 vs $2.50), equivalent long-context and persona consistency, solid strategic analysis, or are running high-volume inference where the cost gap (about $400 per 1M tokens under a 50/50 input/output split) matters.