Model Comparison
Gemini 2.0 Flash vs GPT-4o miniWhich is better in 2026?
Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is 1.5x cheaper per token.
Verdict: Gemini 2.0 Flash vs GPT-4o mini — which is better?
Gemini 2.0 Flash (by Google) and GPT-4o mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMMU), while GPT-4o mini is better at 0 benchmarks. Gemini 2.0 Flash significantly outperforms across most benchmarks.
On price, Gemini 2.0 Flash is roughly 1.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 2.0 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Choose Gemini 2.0 Flash if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- cost matters — it's about 1.5x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Dec 2024
Choose GPT-4o mini if…
- you want predictable pricing at $0.15/M input and $0.60/M output
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMMU), while GPT-4o mini is better at 0 benchmarks.
Gemini 2.0 Flash significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 1.5x cheaper than GPT-4o mini ($0.15/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 1.5x cheaper than GPT-4o mini ($0.60/1M tokens).
In conclusion, GPT-4o mini is more expensive than Gemini 2.0 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 2.0 Flash accepts 1,048,576 input tokens compared to GPT-4o mini's 128,000 tokens. GPT-4o mini can generate longer responses up to 16,384 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.
Input Capabilities
Supported data types and modalities
Both Gemini 2.0 Flash and GPT-4o mini support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash
GPT-4o mini
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 2.0 Flash was released on 2024-12-01, while GPT-4o mini was released on 2024-07-18.
Gemini 2.0 Flash is 5 months newer than GPT-4o mini.
Dec 1, 2024
1.5 years ago
4mo newerJul 18, 2024
1.9 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-4o mini has a cutoff of 2023-10-01.
Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-4o mini (2023-10-01).
Aug 2024
10 mo newerOct 2023
Provider Availability
Gemini 2.0 Flash is available from Google. GPT-4o mini is available from Azure.
Gemini 2.0 Flash
GPT-4o mini
Outputs Comparison
Key Takeaways
GPT-4o mini
View detailsOpenAI
No standout differentiators in the data we have for this pair.
Detailed Comparison
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FAQ
Common questions about Gemini 2.0 Flash vs GPT-4o mini.