Model Comparison

Gemini 1.5 Flash 8B vs GPT-3.5 TurboWhich is better in 2026?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is 5.9x cheaper per token.

Verdict: Gemini 1.5 Flash 8B vs GPT-3.5 Turbo — which is better?

Gemini 1.5 Flash 8B (by Google) and GPT-3.5 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 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.

Choose Gemini 1.5 Flash 8B if…

  • 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 if…

  • you want predictable pricing at $0.50/M input and $1.50/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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.

Thu Jun 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 1.5 Flash 8B costs less

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

Lowest available price from all providers
Thu Jun 18 2026 • llm-stats.com
Google
Gemini 1.5 Flash 8B
Input tokens$0.07
Output tokens$0.30
Best providerGoogle
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Notice missing or incorrect data?Start an Issue→

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.

Google
Gemini 1.5 Flash 8B
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Thu Jun 18 2026 • llm-stats.com

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

Text
Images
Audio
Video

GPT-3.5 Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 1.5 Flash 8B

Proprietary

Closed source

GPT-3.5 Turbo

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.

Gemini 1.5 Flash 8B

Mar 15, 2024

2.3 years ago

12mo newer
GPT-3.5 Turbo

Mar 21, 2023

3.2 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).

Gemini 1.5 Flash 8B

Oct 2024

3.1 yr newer
GPT-3.5 Turbo

Sep 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

google logo
Google
Input Price:Input: $0.07/1MOutput Price:Output: $0.30/1M

GPT-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (38.4% vs 30.8%)
Higher MATH score (58.7% vs 43.1%)
Higher MathVista score (54.7% vs 0.0%)
Higher MMMU score (53.7% vs 0.0%)
OpenAI

No standout differentiators in the data we have for this pair.

GoogleGemini 1.5 Flash 8B
OpenAIGPT-3.5 Turbo
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Flash 8B
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about Gemini 1.5 Flash 8B vs GPT-3.5 Turbo.

Which is better, Gemini 1.5 Flash 8B or GPT-3.5 Turbo?

Gemini 1.5 Flash 8B significantly outperforms across most benchmarks. Gemini 1.5 Flash 8B is made by Google and GPT-3.5 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Gemini 1.5 Flash 8B compare to GPT-3.5 Turbo in benchmarks?

Gemini 1.5 Flash 8B scores XSTest: 92.6%, FLEURS: 86.4%, Natural2Code: 75.5%, WMT23: 72.6%, Video-MME: 66.2%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

Is Gemini 1.5 Flash 8B cheaper than GPT-3.5 Turbo?

Gemini 1.5 Flash 8B is 7.1x cheaper for input tokens. Gemini 1.5 Flash 8B costs $0.07/M input and $0.30/M output via google. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.

What are the context window sizes for Gemini 1.5 Flash 8B and GPT-3.5 Turbo?

Gemini 1.5 Flash 8B supports 1.0M tokens and GPT-3.5 Turbo supports 16K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemini 1.5 Flash 8B and GPT-3.5 Turbo?

Key differences include context window (1.0M vs 16K), input pricing ($0.07 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 1.5 Flash 8B and GPT-3.5 Turbo?

Gemini 1.5 Flash 8B is developed by Google and GPT-3.5 Turbo is developed by OpenAI.

Related comparisons