Model Comparison

Gemini 2.0 Flash vs GPT-3.5 Turbo

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash is 4.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Gemini 2.0 Flash outperforms in 3 benchmarks (GPQA, MATH, MMMU), while GPT-3.5 Turbo is better at 0 benchmarks.

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Sat Apr 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

For input processing, Gemini 2.0 Flash ($0.10/1M tokens) is 5.0x cheaper than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, Gemini 2.0 Flash ($0.40/1M tokens) is 3.8x cheaper than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, GPT-3.5 Turbo is more expensive than Gemini 2.0 Flash.*

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

Lowest available price from all providers
Sat Apr 18 2026 • llm-stats.com
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
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 2.0 Flash accepts 1,048,576 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Gemini 2.0 Flash can generate longer responses up to 8,192 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat Apr 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 2.0 Flash supports multimodal inputs, whereas GPT-3.5 Turbo does not.

Gemini 2.0 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 2.0 Flash

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 2.0 Flash

Proprietary

Closed source

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 2.0 Flash was released on 2024-12-01, while GPT-3.5 Turbo was released on 2023-03-21.

Gemini 2.0 Flash is 21 months newer than GPT-3.5 Turbo.

Gemini 2.0 Flash

Dec 1, 2024

1.4 years ago

1.7yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

Knowledge Cutoff

When training data ends

Gemini 2.0 Flash has a knowledge cutoff of 2024-08-01, while GPT-3.5 Turbo has a cutoff of 2021-09-30.

Gemini 2.0 Flash has more recent training data (up to 2024-08-01), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

Gemini 2.0 Flash

Aug 2024

2.9 yr newer
GPT-3.5 Turbo

Sep 2021

Provider Availability

Gemini 2.0 Flash is available from Google. GPT-3.5 Turbo is available from Azure, OpenAI.

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M

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 (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (62.1% vs 30.8%)
Higher MATH score (89.7% vs 43.1%)
Higher MMMU score (70.7% vs 0.0%)
OpenAI
GoogleGemini 2.0 Flash
OpenAIGPT-3.5 Turbo
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Detailed Comparison

AI Model Comparison Table
Feature
Google
Gemini 2.0 Flash
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about Gemini 2.0 Flash vs GPT-3.5 Turbo

Gemini 2.0 Flash significantly outperforms across most benchmarks. Gemini 2.0 Flash 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 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.
Gemini 2.0 Flash is 5.0x cheaper for input tokens. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.
Gemini 2.0 Flash 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 ($0.10 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Gemini 2.0 Flash is developed by Google and GPT-3.5 Turbo is developed by OpenAI.