Model Comparison

GPT-4o vs GPT-4 Turbo

Both models are evenly matched across the benchmarks. GPT-4o is 3.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4o outperforms in 1 benchmarks (GPQA), while GPT-4 Turbo is better at 1 benchmark (MMLU).

Both models are evenly matched across the benchmarks.

Mon Apr 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4o costs less

For input processing, GPT-4o ($2.50/1M tokens) is 4.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, GPT-4o ($10.00/1M tokens) is 3.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).

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

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

Lowest available price from all providers
Mon Apr 06 2026 • llm-stats.com
OpenAI
GPT-4o
Input tokens$2.50
Output tokens$10.00
Best providerAzure
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. GPT-4o can generate longer responses up to 16,384 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4o
Input128,000 tokens
Output16,384 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Mon Apr 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

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

GPT-4o

Text
Images
Audio
Video

GPT-4 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-4o

Proprietary

Closed source

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4o was released on 2024-08-06, while GPT-4 Turbo was released on 2024-04-09.

GPT-4o is 4 months newer than GPT-4 Turbo.

GPT-4o

Aug 6, 2024

1.7 years ago

3mo newer
GPT-4 Turbo

Apr 9, 2024

2.0 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while GPT-4o's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without GPT-4o's cutoff date.

GPT-4o

—

GPT-4 Turbo

Dec 2023

Provider Availability

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

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

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (70.1% vs 48.0%)
OpenAI
Higher MMLU score (86.5% vs 85.7%)

Detailed Comparison

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

FAQ

Common questions about GPT-4o vs GPT-4 Turbo

Both models are evenly matched across the benchmarks. GPT-4o is made by OpenAI and GPT-4 Turbo is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GPT-4o scores AI2D: 94.2%, DocVQA: 92.8%, ChartQA: 85.7%, MMLU: 85.7%, CharXiv-D: 85.3%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.
GPT-4o is 4.0x cheaper for input tokens. GPT-4o costs $2.50/M input and $10.00/M output via azure. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure.
GPT-4o supports 128K tokens and GPT-4 Turbo supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($2.50 vs $10.00/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.