Model Comparison

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.

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 Apr 09 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 Apr 09 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
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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 Apr 09 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

2.1 years ago

12mo newer
GPT-3.5 Turbo

Mar 21, 2023

3.1 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

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Key Takeaways

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%)
GoogleGemini 1.5 Flash 8B
OpenAIGPT-3.5 Turbo

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

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