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Model Comparison

GPT-3.5 Turbo vs Gemini 2.0 Flash

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

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

Gemini 2.0 Flash significantly outperforms across most benchmarks.

Thu Apr 23 2026 • llm-stats.com

Arena Performance

Human preference votes

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Pricing Analysis

Price comparison per million tokens

Gemini 2.0 Flash costs less

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

For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 3.8x more expensive than Gemini 2.0 Flash ($0.40/1M 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
Thu Apr 23 2026 • llm-stats.com
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Google
Gemini 2.0 Flash
Input tokens$0.10
Output tokens$0.40
Best providerGoogle
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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.

OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Google
Gemini 2.0 Flash
Input1,048,576 tokens
Output8,192 tokens
Thu Apr 23 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.

GPT-3.5 Turbo

Text
Images
Audio
Video

Gemini 2.0 Flash

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.

GPT-3.5 Turbo

Proprietary

Closed source

Gemini 2.0 Flash

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

Gemini 2.0 Flash

Dec 1, 2024

1.4 years ago

1.7yr newer

Knowledge Cutoff

When training data ends

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

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).

GPT-3.5 Turbo

Sep 2021

Gemini 2.0 Flash

Aug 2024

2.9 yr newer

Provider Availability

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

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

Gemini 2.0 Flash

google logo
Google
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
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%)
OpenAIGPT-3.5 Turbo
GoogleGemini 2.0 Flash
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Detailed Comparison

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

FAQ

Common questions about GPT-3.5 Turbo vs Gemini 2.0 Flash

Gemini 2.0 Flash significantly outperforms across most benchmarks. GPT-3.5 Turbo is made by OpenAI and Gemini 2.0 Flash is made by Google. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%. Gemini 2.0 Flash scores Natural2Code: 92.9%, MATH: 89.7%, FACTS Grounding: 83.6%, MMLU-Pro: 76.4%, EgoSchema: 71.5%.
Gemini 2.0 Flash is 5.0x cheaper for input tokens. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure. Gemini 2.0 Flash costs $0.10/M input and $0.40/M output via google.
GPT-3.5 Turbo supports 16K tokens and Gemini 2.0 Flash supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (16K vs 1.0M), input pricing ($0.50 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.
GPT-3.5 Turbo is developed by OpenAI and Gemini 2.0 Flash is developed by Google.