Model Comparison
Google's Gemini 2.0 Flash beats OpenAI's GPT-4o mini on both price and benchmarks — here's the full breakdown.
Data last updated March 4, 2026
Gemini 2.0 Flash is the clear winner — cheaper and higher-scoring than GPT-4o mini. Gemini 2.0 Flash costs $0.0009 per request vs $0.0014 for GPT-4o mini (at 5K input / 1K output tokens). GPT-4o mini's only edge might be vendor-specific features or API ecosystem.
| Metric | Gemini 2.0 Flash | GPT-4o mini |
|---|---|---|
| Intelligence IndexComposite score from MMLU-Pro, GPQA, and AIME. Higher is better. | 18.5 | 12.6 |
| MMLU-ProGeneral knowledge and reasoning. Higher is better. | 0.8 | 0.6 |
| GPQAGraduate-level science questions. Higher is better. | 0.6 | 0.4 |
| AIMEMathematical problem solving. Higher is better. | 0.3 | 0.1 |
| Context windowMax tokens per request. Larger handles more text. | 1,000,000 | 128,000 |
List prices as published by the provider. Not adjusted for token efficiency.
| Metric | Gemini 2.0 Flash | GPT-4o mini |
|---|---|---|
| Input price / 1M tokens | $0.10 | $0.15 |
| Output price / 1M tokens | $0.40 | $0.60 |
| Cache hit price / 1M tokens | $0.02 | $0.08 |
Cost per IQ point based on a typical request of 5,000 input and 1,000 output tokens.
Cheaper (list price)
Gemini 2.0 Flash
Higher Benchmarks
Gemini 2.0 Flash
Better Value ($/IQ point)
Gemini 2.0 Flash
Gemini 2.0 Flash
$0.000049 / IQ point
GPT-4o mini
$0.0001 / IQ point
Gemini 2.0 Flash is 50% cheaper per request than GPT-4o mini. Gemini 2.0 Flash is cheaper on both input ($0.1/M vs $0.15/M) and output ($0.4/M vs $0.6/M). The 50% price gap matters at scale but is less significant for low-volume use cases. This comparison assumes a typical request of 5,000 input and 1,000 output tokens (5:1 ratio). Actual ratios vary by workload — chat and completion tasks typically run 2:1, code review around 3:1, document analysis and summarization 10:1 to 50:1, and embedding workloads are pure input with no output tokens.
Gemini 2.0 Flash scores higher overall (18.5 vs 12.6). Gemini 2.0 Flash leads on MMLU-Pro (0.78 vs 0.65), GPQA (0.62 vs 0.43), AIME (0.33 vs 0.12). If mathematical reasoning matters, Gemini 2.0 Flash's AIME score of 0.33 gives it an edge.
Gemini 2.0 Flash has a much larger context window — 1,000,000 tokens vs GPT-4o mini at 128,000 tokens. That's roughly 1,333 vs 170 pages of text. Gemini 2.0 Flash's window can handle entire codebases or book-length documents; GPT-4o mini works better for shorter inputs.
Gemini 2.0 Flash offers 120% better value at $0.000049 per intelligence point compared to GPT-4o mini at $0.0001. Gemini 2.0 Flash is both cheaper and higher-scoring, making it the clear value pick. You don't sacrifice quality to save money with Gemini 2.0 Flash.
With prompt caching, Gemini 2.0 Flash is 86% cheaper per request than GPT-4o mini. Caching saves 42% on Gemini 2.0 Flash and 28% on GPT-4o mini compared to standard input prices. Gemini 2.0 Flash benefits more from caching. If your workload has repetitive prompts, Gemini 2.0 Flash's cache discount gives it a bigger cost advantage than list prices suggest.
Pricing verified against official vendor documentation. Updated daily. See our methodology.
Related Comparisons
Create an account, install the SDK, and see your first margin data in minutes.
See My Margin DataNo credit card required