Model Comparison

GPT-5 vs GPT-4o

GPT-5 significantly outperforms across most benchmarks. GPT-5 is 1.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

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

GPT-5 significantly outperforms across most benchmarks.

Sun Apr 05 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-5 costs less

For input processing, GPT-5 ($1.25/1M tokens) is 2.0x cheaper than GPT-4o ($2.50/1M tokens).

For output processing, GPT-5 ($10.00/1M tokens) costs the same as GPT-4o ($10.00/1M tokens).

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

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

Lowest available price from all providers
Sun Apr 05 2026 • llm-stats.com
OpenAI
GPT-5
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
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-4o's 128,000 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while GPT-4o is limited to 4,096 tokens.

OpenAI
GPT-5
Input400,000 tokens
Output128,000 tokens
OpenAI
GPT-4o
Input128,000 tokens
Output4,096 tokens
Sun Apr 05 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-5

Text
Images
Audio
Video

GPT-4o

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-5

Proprietary

Closed source

GPT-4o

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5 was released on 2025-08-07, while GPT-4o was released on 2024-05-13.

GPT-5 is 15 months newer than GPT-4o.

GPT-5

Aug 7, 2025

8 months ago

1.2yr newer
GPT-4o

May 13, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

GPT-5 has a documented knowledge cutoff of 2024-09-30, while GPT-4o's cutoff date is not specified.

We can confirm GPT-5's training data extends to 2024-09-30, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-5

Sep 2024

GPT-4o

—

Provider Availability

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

GPT-5

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

GPT-4o

azure logo
Azure
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $10.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Less expensive input tokens
Higher GPQA score (85.7% vs 53.6%)
Higher HumanEval score (93.4% vs 90.2%)
Higher MATH score (84.7% vs 76.6%)
Higher MMLU score (92.5% vs 88.7%)
OpenAI
OpenAIGPT-5
OpenAIGPT-4o
Compare in Playground

Detailed Comparison

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

FAQ

Common questions about GPT-5 vs GPT-4o

GPT-5 significantly outperforms across most benchmarks. GPT-5 is made by OpenAI and GPT-4o is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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-4o scores MGSM: 90.5%, HumanEval: 90.2%, MMLU: 88.7%, DROP: 83.4%, MATH: 76.6%.
GPT-5 is 2.0x cheaper for input tokens. GPT-5 costs $1.25/M input and $10.00/M output via openai. GPT-4o costs $2.50/M input and $10.00/M output via azure.
GPT-5 supports 400K tokens and GPT-4o supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 128K), input pricing ($1.25 vs $2.50/M). See the full comparison above for benchmark-by-benchmark results.