Model Comparison
Google's Gemini 2.0 Flash beats OpenAI's GPT-4o 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. Gemini 2.0 Flash costs $0.0009 per request vs $0.0225 for GPT-4o (at 5K input / 1K output tokens). GPT-4o's only edge might be vendor-specific features or API ecosystem.
| Metric | Gemini 2.0 Flash | GPT-4o |
|---|---|---|
| Intelligence IndexComposite score from MMLU-Pro, GPQA, and AIME. Higher is better. | 18.5 | 17.3 |
| MMLU-ProGeneral knowledge and reasoning. Higher is better. | 0.8 | 0.8 |
| GPQAGraduate-level science questions. Higher is better. | 0.6 | 0.5 |
| AIMEMathematical problem solving. Higher is better. | 0.3 | 0.2 |
| 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 |
|---|---|---|
| Input price / 1M tokens | $0.10 | $2.50 |
| Output price / 1M tokens | $0.40 | $10.00 |
| Cache hit price / 1M tokens | $0.02 | $1.25 |
Cost per IQ point based on a typical request of 5,000 input and 1,000 output tokens.
Cheaper (list price)
Gemini 2.0 Flash
Higher Benchmarks
Gemini 2.0 Flash
Better Value ($/IQ point)
Gemini 2.0 Flash
Gemini 2.0 Flash
$0.000049 / IQ point
GPT-4o
$0.0013 / IQ point
Gemini 2.0 Flash is dramatically cheaper — 25x less per request than GPT-4o. Gemini 2.0 Flash is cheaper on both input ($0.1/M vs $2.5/M) and output ($0.4/M vs $10.0/M). At a fraction of the cost, Gemini 2.0 Flash saves significantly in production workloads. 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 17.3). Gemini 2.0 Flash leads on GPQA (0.62 vs 0.54) and AIME (0.33 vs 0.15), with both within 5% on MMLU-Pro. 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 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 works better for shorter inputs.
Gemini 2.0 Flash offers dramatically better value — $0.000049 per intelligence point vs GPT-4o at $0.0013. 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 dramatically cheaper — 31x less per request than GPT-4o. Caching saves 42% on Gemini 2.0 Flash and 28% on GPT-4o 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.
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