Model Comparison

GPT-4 vs GPT-3.5 Turbo

GPT-4 shows notably better performance in the majority of benchmarks. GPT-3.5 Turbo is 50.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-4 outperforms in 4 benchmarks (DROP, GPQA, MGSM, MMLU), while GPT-3.5 Turbo is better at 2 benchmarks (HumanEval, MATH).

GPT-4 shows notably better performance in the majority of benchmarks.

Tue Apr 14 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, GPT-4 ($30.00/1M tokens) is 60.0x more expensive than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 40.0x more expensive than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, GPT-4 is more expensive than GPT-3.5 Turbo.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
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

GPT-4 accepts 32,768 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4 supports multimodal inputs, whereas GPT-3.5 Turbo does not.

GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4

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.

GPT-4

Proprietary

Closed source

GPT-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while GPT-3.5 Turbo was released on 2023-03-21.

GPT-4 is 3 months newer than GPT-3.5 Turbo.

GPT-4

Jun 13, 2023

2.8 years ago

2mo newer
GPT-3.5 Turbo

Mar 21, 2023

3.1 years ago

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while GPT-3.5 Turbo has a cutoff of 2021-09-30.

GPT-4 has more recent training data (up to 2022-12-31), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).

GPT-4

Dec 2022

1.3 yr newer
GPT-3.5 Turbo

Sep 2021

Provider Availability

GPT-4 is available from Azure, OpenAI. GPT-3.5 Turbo is available from Azure, OpenAI.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

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

OpenAI
Larger context window (32,768 tokens)
Supports multimodal inputs
Higher DROP score (80.9% vs 70.2%)
Higher GPQA score (35.7% vs 30.8%)
Higher MGSM score (74.5% vs 56.3%)
Higher MMLU score (86.4% vs 69.8%)
OpenAI
Less expensive input tokens
Less expensive output tokens
Higher HumanEval score (68.0% vs 67.0%)
Higher MATH score (43.1% vs 42.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about GPT-4 vs GPT-3.5 Turbo

GPT-4 shows notably better performance in the majority of benchmarks. GPT-4 is made by OpenAI 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.
GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. 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 60.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.
GPT-4 supports 33K 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 (33K vs 16K), input pricing ($30.00 vs $0.50/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.