Model Comparison
Gemini 1.5 Flash 8B vs GPT-4 TurboWhich is better in 2026?
GPT-4 Turbo significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 117.6x cheaper per token.
Verdict: Gemini 1.5 Flash 8B vs GPT-4 Turbo — which is better?
Gemini 1.5 Flash 8B (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 8B outperforms in 0 benchmarks, while GPT-4 Turbo is better at 2 benchmarks (GPQA, MATH). GPT-4 Turbo significantly outperforms across most benchmarks.
On price, Gemini 1.5 Flash 8B is roughly 117.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Gemini 1.5 Flash 8B 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 8B if…
- cost matters — it's about 117.6x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
Choose GPT-4 Turbo if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you want the most recent training data — it shipped Apr 2024
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash 8B outperforms in 0 benchmarks, while GPT-4 Turbo is better at 2 benchmarks (GPQA, MATH).
GPT-4 Turbo significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 142.9x cheaper than GPT-4 Turbo ($10.00/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 100.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than Gemini 1.5 Flash 8B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Gemini 1.5 Flash 8B accepts 1,048,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. Gemini 1.5 Flash 8B 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 8B supports multimodal inputs, whereas GPT-4 Turbo does not.
Gemini 1.5 Flash 8B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemini 1.5 Flash 8B
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 8B was released on 2024-03-15, while GPT-4 Turbo was released on 2024-04-09.
GPT-4 Turbo is 1 month newer than Gemini 1.5 Flash 8B.
Mar 15, 2024
2.3 years ago
Apr 9, 2024
2.2 years ago
3w newerKnowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while GPT-4 Turbo has a cutoff of 2023-12-31.
Gemini 1.5 Flash 8B has more recent training data (up to 2024-10-01), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).
Oct 2024
10 mo newerDec 2023
Provider Availability
Gemini 1.5 Flash 8B is available from Google. GPT-4 Turbo is available from Azure, OpenAI.
Gemini 1.5 Flash 8B
GPT-4 Turbo
Outputs Comparison
Key Takeaways
GPT-4 Turbo
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about Gemini 1.5 Flash 8B vs GPT-4 Turbo.