GPT-4o vs GPT-4o-mini

Summary of head-to-head results in our 12-test suite: GPT-4o wins 4 categories, GPT-4o-mini wins 1, and 7 are ties. In our testing GPT-4o scored higher on creative problem solving (3 vs 2), faithfulness (4 vs 3), persona consistency (5 vs 4), and agentic planning (4 vs 3) — these gains matter for brainstorming, systems that must remain factual, character-driven chatbots, and agentic task decomposition. GPT-4o-mini outperforms on safety calibration (4 vs 1 in our testing); in rankings that places GPT-4o-mini at rank 6 of 55 for safety calibration versus GPT-4o at rank 32 of 55, so mini is substantially better at refusing harmful requests while permitting legitimate ones. Tied tests: structured output (both 4), strategic analysis (both 2), constrained rewriting (both 3), tool calling (both 4), classification (both 4), long context (both 4), and multilingual (both 4) — for JSON/schema outputs, function selection, routing, very long context, and multilingual tasks you should expect comparable behavior. On external tests (Epoch AI): GPT-4o scores 31% on SWE-bench Verified (Epoch AI), and on MATH Level 5 GPT-4o scores 53.3% vs GPT-4o-mini 52.6%; on AIME 2025 GPT-4o scores 6.4% vs GPT-4o-mini 6.9% — these external percentages indicate both models are close on competition math, with GPT-4o having the only SWE-bench tally in the payload. Rankings context: GPT-4o ties for 1st in persona consistency and classification among many models, while GPT-4o-mini’s safety rank (6/55) is a standout practical advantage for safety-sensitive deployments.

GPT-4o charges $2.50 per 1k input tokens and $10.00 per 1k output tokens (total $12.50 per 1k tokens if you combine input+output). GPT-4o-mini charges $0.15/$0.60 per 1k (total $0.75 per 1k). At 1M tokens/month (1,000 kTok) that’s $12,500 for GPT-4o vs $750 for GPT-4o-mini. At 10M tokens it's $125,000 vs $7,500; at 100M tokens it's $1,250,000 vs $75,000. The 16.67x price gap (priceRatio 16.6667) means GPT-4o-mini is the obvious choice for high-volume, cost-sensitive production (SaaS, messaging platforms, large-scale parsing). Teams willing to pay the premium should do so only when the quality differences we measured (see benchmarks) directly affect product outcomes.

Choose GPT-4o if you need stronger creative problem solving, higher faithfulness, consistent personas, or better agentic planning — e.g., premium chatbots, agent frameworks, creative ideation tools, or products where hallucination risk materially harms value. Choose GPT-4o-mini if you need massive cost savings or improved safety calibration — e.g., high-volume customer messaging, low-margin SaaS, or any deployment where refusing harmful prompts reliably is a priority. If your workload is dominated by structured outputs, tool calling, classification, long-context retrieval, or multilingual responses, either model is acceptable.