Gemini 1.5 Flash 8B vs GPT-3.5 Turbo
Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 5.9x cheaper per token.
Google · OpenAI · Updated for 2026
Which is better?
Gemini 1.5 Flash 8B outperforms in 4 benchmarks (GPQA, MATH, MathVista, MMMU), while GPT-3.5 Turbo is better at 0 benchmarks. Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.
On price, Gemini 1.5 Flash 8B is roughly 5.9x 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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose Gemini 1.5 Flash 8B
- you want the strongest raw capability — it leads on 4 of 4 shared benchmarks
- cost matters — it's about 5.9x 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 Mar 2024
Choose GPT-3.5 Turbo
- you want predictable pricing at $0.50/M input and $1.50/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
Gemini 1.5 Flash 8B outperforms in 4 benchmarks (GPQA, MATH, MathVista, MMMU), while GPT-3.5 Turbo is better at 0 benchmarks.
Gemini 1.5 Flash 8B significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 1.5 Flash 8B ($0.07/1M tokens) is 7.1x cheaper than GPT-3.5 Turbo ($0.50/1M tokens).
For output processing, Gemini 1.5 Flash 8B ($0.30/1M tokens) is 5.0x cheaper than GPT-3.5 Turbo ($1.50/1M tokens).
In conclusion, GPT-3.5 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-3.5 Turbo's 16,385 tokens. Gemini 1.5 Flash 8B can generate longer responses up to 8,192 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
Gemini 1.5 Flash 8B supports multimodal inputs, whereas GPT-3.5 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-3.5 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-3.5 Turbo was released on 2023-03-21.
Gemini 1.5 Flash 8B is 12 months newer than GPT-3.5 Turbo.
Mar 15, 2024
2.5 years ago
12mo newerMar 21, 2023
3.4 years ago
Knowledge Cutoff
When training data ends
Gemini 1.5 Flash 8B has a knowledge cutoff of 2024-10-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.
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-3.5 Turbo (2021-09-30).
Oct 2024
3.1 yr newerSep 2021
Provider Availability
Gemini 1.5 Flash 8B is available from Google. GPT-3.5 Turbo is available from Azure, OpenAI.
Gemini 1.5 Flash 8B
GPT-3.5 Turbo
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 1.5 Flash 8B and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 1.5 Flash 8B vs GPT-3.5 Turbo.