GPT-3.5 Turbo vs GPT-4
GPT-4 leads the LLM Stats Score 3.0 to -9.4. GPT-3.5 Turbo is 50.0x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-4 leads the overall LLM Stats Score 3.0 to -9.4, ranking #309 overall.
In the 6 individual benchmarks reported for both models, GPT-4 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-3.5 Turbo is roughly 50.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4 also accepts a larger context window (32,768 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-3.5 Turbo
- cost matters — it's about 50.0x cheaper per token
Choose GPT-4
- overall performance matters — it scores 3.0 and ranks #309 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 6 exact shared results
- you process long inputs — it offers a 32,768 token context window
- you want the most recent training data — it shipped Jun 2023
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
8 reported for GPT-3.5 Turbo · 12 for GPT-4
GPT-3.5 Turbo outperforms in 2 benchmarks (HumanEval, MATH), while GPT-4 is better at 4 benchmarks (DROP, GPQA, MGSM, MMLU).
GPT-4 shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-3.5 Turbo ($0.50/1M tokens) is 60.0x cheaper than GPT-4 ($30.00/1M tokens).
For output processing, GPT-3.5 Turbo ($1.50/1M tokens) is 40.0x cheaper than GPT-4 ($60.00/1M tokens).
In conclusion, GPT-4 is more expensive than GPT-3.5 Turbo.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4 accepts 32,768 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. GPT-4 can generate longer responses up to 32,768 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4 supports multimodal inputs, whereas GPT-3.5 Turbo does not.
GPT-4 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-3.5 Turbo
GPT-4
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-3.5 Turbo was released on 2023-03-21, while GPT-4 was released on 2023-06-13.
GPT-4 is 3 months newer than GPT-3.5 Turbo.
Mar 21, 2023
3.5 years ago
Jun 13, 2023
3.3 years ago
2mo newerKnowledge Cutoff
When training data ends
GPT-3.5 Turbo has a knowledge cutoff of 2021-09-30, while GPT-4 has a cutoff of 2022-12-31.
GPT-4 has more recent training data (up to 2022-12-31), making it potentially better informed about events through that date compared to GPT-3.5 Turbo (2021-09-30).
Sep 2021
Dec 2022
1.3 yr newerProvider Availability
GPT-3.5 Turbo is available from Azure, OpenAI. GPT-4 is available from Azure, OpenAI.
GPT-3.5 Turbo
GPT-4
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-3.5 Turbo and GPT-4 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-3.5 Turbo vs GPT-4.