Gemini 2.0 Flash vs GPT-4o
Gemini 2.0 Flash and GPT-4o are closely matched at 16.6 and 14.3 on the LLM Stats Score. Gemini 2.0 Flash is 25.0x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 2.0 Flash and GPT-4o are closely matched on the overall LLM Stats Score at 16.6 and 14.3.
In the 4 individual benchmarks reported for both models, GPT-4o wins 3; this is a narrower head-to-head signal than the composite indexes.
On price, Gemini 2.0 Flash is roughly 25.0x 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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 2.0 Flash
- cost matters — it's about 25.0x 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
- you value its reported benchmark strengths — it wins 3 of 4 exact shared results
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
13 reported for Gemini 2.0 Flash · 38 for GPT-4o
Gemini 2.0 Flash outperforms in 1 benchmarks (MMLU-Pro), while GPT-4o is better at 3 benchmarks (EgoSchema, GPQA, MMMU).
GPT-4o shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 25.0x cheaper than GPT-4o ($2.50/1M tokens).
For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 25.0x cheaper than GPT-4o ($10.00/1M tokens).
In conclusion, GPT-4o 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's 128,000 tokens. GPT-4o can generate longer responses up to 16,384 tokens, while Gemini 2.0 Flash is limited to 8,192 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 2.0 Flash and GPT-4o support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 2.0 Flash
GPT-4o
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 was released on 2024-08-06.
Gemini 2.0 Flash is 4 months newer than GPT-4o.
Dec 1, 2024
1.8 years ago
3mo newerAug 6, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
Gemini 2.0 Flash has a documented knowledge cutoff of 2024-08-01, while GPT-4o's cutoff date is not specified.
We can confirm Gemini 2.0 Flash's training data extends to 2024-08-01, but cannot make a direct comparison without GPT-4o's cutoff date.
Aug 2024
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Provider Availability
Gemini 2.0 Flash is available from Google. GPT-4o is available from Azure, OpenAI.
Gemini 2.0 Flash
GPT-4o
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 2.0 Flash and GPT-4o side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 2.0 Flash vs GPT-4o.