Model Comparison

GPT-4 vs GPT-5

GPT-5 significantly outperforms across most benchmarks. GPT-5 is 10.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GPT-4 outperforms in 0 benchmarks, while GPT-5 is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU).

GPT-5 significantly outperforms across most benchmarks.

Sat Apr 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 costs less

For input processing, GPT-4 ($30.00/1M tokens) is 24.0x more expensive than GPT-5 ($1.25/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 6.0x more expensive than GPT-5 ($10.00/1M tokens).

In conclusion, GPT-4 is more expensive than GPT-5.*

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

Lowest available price from all providers
Sat Apr 11 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5 accepts 400,000 input tokens compared to GPT-4's 32,768 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
Sat Apr 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-4 and GPT-5 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4

Text
Images
Audio
Video

GPT-5

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-5

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while GPT-5 was released on 2025-08-07.

GPT-5 is 26 months newer than GPT-4.

GPT-4

Jun 13, 2023

2.8 years ago

GPT-5

Aug 7, 2025

8 months ago

2.2yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while GPT-5 has a cutoff of 2024-09-30.

GPT-5 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

GPT-5

Sep 2024

1.8 yr newer

Provider Availability

GPT-4 is available from Azure, OpenAI. GPT-5 is available from 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-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
OpenAI
Larger context window (400,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (85.7% vs 35.7%)
Higher HumanEval score (93.4% vs 67.0%)
Higher MATH score (84.7% vs 42.0%)
Higher MMLU score (92.5% vs 86.4%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4
OpenAI
GPT-5

FAQ

Common questions about GPT-4 vs GPT-5

GPT-5 significantly outperforms across most benchmarks. GPT-4 is made by OpenAI and GPT-5 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-5 scores SWE-Lancer (IC-Diamond subset): 100.0%, COLLIE: 99.0%, Tau2 Telecom: 96.7%, OpenAI-MRCR: 2 needle 128k: 95.2%, AIME 2025: 94.6%.
GPT-5 is 24.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. GPT-5 costs $1.25/M input and $10.00/M output via openai.
GPT-4 supports 33K tokens and GPT-5 supports 400K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (33K vs 400K), input pricing ($30.00 vs $1.25/M). See the full comparison above for benchmark-by-benchmark results.