Model Comparison
Gemini 1.5 Flash vs GPT-4 TurboWhich is better in 2026?
GPT-4 Turbo has a slight edge in benchmark performance. Gemini 1.5 Flash is 57.1x cheaper per token.
Verdict: Gemini 1.5 Flash vs GPT-4 Turbo — which is better?
Gemini 1.5 Flash (by Google) and GPT-4 Turbo (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 1.5 Flash outperforms in 2 benchmarks (GPQA, MATH), while GPT-4 Turbo is better at 3 benchmarks (HumanEval, MGSM, MMLU). GPT-4 Turbo has a slight edge in benchmark performance.
On price, Gemini 1.5 Flash is roughly 57.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 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 1.5 Flash if…
- cost matters — it's about 57.1x 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 May 2024
Choose GPT-4 Turbo if…
- you want the strongest raw capability — it leads on 3 of 5 shared benchmarks
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash outperforms in 2 benchmarks (GPQA, MATH), while GPT-4 Turbo is better at 3 benchmarks (HumanEval, MGSM, MMLU).
GPT-4 Turbo has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash ($0.15/1M tokens) is 66.7x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, Gemini 1.5 Flash ($0.60/1M tokens) is 50.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Gemini 1.5 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 1.5 Flash can generate longer responses up to 8,192 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Flash supports multimodal inputs, whereas GPT-4 Turbo does not.
Gemini 1.5 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash
GPT-4 Turbo
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 1.5 Flash was released on 2024-05-01, while GPT-4 Turbo was released on 2024-04-09.
Gemini 1.5 Flash is 1 month newer than GPT-4 Turbo.
May 1, 2024
2.1 years ago
3w newerApr 9, 2024
2.2 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Flash has a knowledge cutoff of 2023-11-01, while GPT-4 Turbo has a cutoff of 2023-12-31.
GPT-4 Turbo has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to Gemini 1.5 Flash (2023-11-01).
Nov 2023
Dec 2023
1 mo newerProvider Availability
Gemini 1.5 Flash is available from Google. GPT-4 Turbo is available from Azure, OpenAI.
Gemini 1.5 Flash
GPT-4 Turbo
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Detailed Comparison
| Feature |
|---|
FAQ
Common questions about Gemini 1.5 Flash vs GPT-4 Turbo.