GPT-4 vs GPT-4 Turbo
GPT-4 and GPT-4 Turbo are closely matched at 3.3 and 9.2 on the LLM Stats Score. GPT-4 Turbo is 2.5x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-4 and GPT-4 Turbo are closely matched on the overall LLM Stats Score at 3.3 and 9.2.
In the 6 individual benchmarks reported for both models, GPT-4 Turbo wins 6; this is a narrower head-to-head signal than the composite indexes.
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.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4
- you want predictable pricing at $30.00/M input and $60.00/M output
Choose GPT-4 Turbo
- you value its reported benchmark strengths — it wins 6 of 6 exact shared results
- 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
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for GPT-4 · 6 for GPT-4 Turbo
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.
Human preference
Blind head-to-head votes and playground preference scores
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
Documented input modalities across available providers
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
3.2 years ago
Apr 9, 2024
2.4 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
Judge for yourself.
Run your own prompts against GPT-4 and GPT-4 Turbo side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs GPT-4 Turbo.