Model Comparison

Gemini 1.5 Pro vs GPT-3.5 Turbo

Gemini 1.5 Pro significantly outperforms across most benchmarks. GPT-3.5 Turbo is 5.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

8 benchmarks

Gemini 1.5 Pro outperforms in 8 benchmarks (DROP, GPQA, HumanEval, MATH, MathVista, MGSM, MMLU, MMMU), while GPT-3.5 Turbo is better at 0 benchmarks.

Gemini 1.5 Pro significantly outperforms across most benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-3.5 Turbo costs less

For input processing, Gemini 1.5 Pro ($2.50/1M tokens) is 5.0x more expensive than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, Gemini 1.5 Pro ($10.00/1M tokens) is 6.7x more expensive than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, Gemini 1.5 Pro is more expensive than GPT-3.5 Turbo.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
Google
Gemini 1.5 Pro
Input tokens$2.50
Output tokens$10.00
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 Pro accepts 2,097,152 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Gemini 1.5 Pro can generate longer responses up to 8,192 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

Google
Gemini 1.5 Pro
Input2,097,152 tokens
Output8,192 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Mon Mar 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 1.5 Pro supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Gemini 1.5 Pro can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 1.5 Pro

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 Pro

Proprietary

Closed source

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 1.5 Pro was released on 2024-05-01, while GPT-3.5 Turbo was released on 2023-03-21.

Gemini 1.5 Pro is 14 months newer than GPT-3.5 Turbo.

Gemini 1.5 Pro

May 1, 2024

1.9 years ago

1.1yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.0 years ago

Knowledge Cutoff

When training data ends

Gemini 1.5 Pro has a knowledge cutoff of 2023-11-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.

Gemini 1.5 Pro has more recent training data (up to 2023-11-01), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

Gemini 1.5 Pro

Nov 2023

2.2 yr newer
GPT-3.5 Turbo

Sep 2021

Provider Availability

Gemini 1.5 Pro is available from Google. GPT-3.5 Turbo is available from Azure, OpenAI.

Gemini 1.5 Pro

google logo
Google
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M

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

Google
Larger context window (2,097,152 tokens)
Supports multimodal inputs
Higher DROP score (74.9% vs 70.2%)
Higher GPQA score (59.1% vs 30.8%)
Higher HumanEval score (84.1% vs 68.0%)
Higher MATH score (86.5% vs 43.1%)
Higher MathVista score (68.1% vs 0.0%)
Higher MGSM score (87.5% vs 56.3%)
Higher MMLU score (85.9% vs 69.8%)
Higher MMMU score (65.9% vs 0.0%)
OpenAI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 1.5 Pro
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about Gemini 1.5 Pro vs GPT-3.5 Turbo

Gemini 1.5 Pro significantly outperforms across most benchmarks. Gemini 1.5 Pro 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 Pro scores XSTest: 98.8%, HellaSwag: 93.3%, GSM8k: 90.8%, BIG-Bench Hard: 89.2%, MGSM: 87.5%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.
GPT-3.5 Turbo is 5.0x cheaper for input tokens. Gemini 1.5 Pro costs $2.50/M input and $10.00/M output via google. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.
Gemini 1.5 Pro supports 2.1M 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 (2.1M vs 16K), input pricing ($2.50 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 1.5 Pro is developed by Google and GPT-3.5 Turbo is developed by OpenAI.