Model Comparison
GPT-4 vs GPT-4 TurboWhich is better in 2026?
GPT-4 Turbo significantly outperforms across most benchmarks. GPT-4 Turbo is 2.5x cheaper per token.
Verdict: GPT-4 vs GPT-4 Turbo — which is better?
GPT-4 (by OpenAI) and GPT-4 Turbo (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GPT-4 outperforms in 0 benchmarks, while GPT-4 Turbo is better at 6 benchmarks (DROP, GPQA, HumanEval, MATH, MGSM, MMLU). GPT-4 Turbo significantly outperforms across most benchmarks.
On price, GPT-4 Turbo is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 Turbo also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose GPT-4 if…
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose GPT-4 Turbo if…
- you want the strongest raw capability — it leads on 6 of 6 shared benchmarks
- cost matters — it's about 2.5x cheaper per token
- you process long inputs — it offers a 128,000 token context window
- you want the most recent training data — it shipped Apr 2024
Performance Benchmarks
Comparative analysis across standard metrics
GPT-4 outperforms in 0 benchmarks, while GPT-4 Turbo is better at 6 benchmarks (DROP, GPQA, HumanEval, MATH, MGSM, MMLU).
GPT-4 Turbo significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4 ($30.00/1M tokens) is 3.0x more expensive than GPT-4 Turbo ($10.00/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 2.0x more expensive than GPT-4 Turbo ($30.00/1M tokens).
In conclusion, GPT-4 is more expensive than GPT-4 Turbo.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4 Turbo accepts 128,000 input tokens compared to GPT-4's 32,768 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input Capabilities
Supported data types and modalities
GPT-4 supports multimodal inputs, whereas GPT-4 Turbo does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4
GPT-4 Turbo
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
GPT-4 was released on 2023-06-13, while GPT-4 Turbo was released on 2024-04-09.
GPT-4 Turbo is 10 months newer than GPT-4.
Jun 13, 2023
3.1 years ago
Apr 9, 2024
2.3 years ago
10mo newerKnowledge Cutoff
When training data ends
GPT-4 has a knowledge cutoff of 2022-12-31, while GPT-4 Turbo has a cutoff of 2023-12-31.
GPT-4 Turbo has more recent training data (up to 2023-12-31), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Dec 2022
Dec 2023
1 yr newerProvider Availability
GPT-4 is available from Azure, OpenAI. GPT-4 Turbo is available from Azure, OpenAI.
GPT-4
GPT-4 Turbo
Outputs Comparison
Key Takeaways
GPT-4
View detailsOpenAI
GPT-4 Turbo
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against GPT-4 and GPT-4 Turbo side-by-side, then vote on the output you prefer.
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FAQ
Common questions about GPT-4 vs GPT-4 Turbo.