GPT-4 vs GPT-5
GPT-5 leads the LLM Stats Score 34.3 to 3.3. GPT-5 is 10.9x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-5 leads the overall LLM Stats Score 34.3 to 3.3, ranking #83 overall.
In the 4 individual benchmarks reported for both models, GPT-5 wins 4; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-5 is roughly 10.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5 also accepts a larger context window (400,000 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-5
- overall performance matters — it scores 34.3 and ranks #83 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 4 of 4 exact shared results
- cost matters — it's about 10.9x cheaper per token
- you process long inputs — it offers a 400,000 token context window
- you want the most recent training data — it shipped Aug 2025
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 · 34 for GPT-5
GPT-4 outperforms in 0 benchmarks, while GPT-5 is better at 4 benchmarks (GPQA, HumanEval, MATH, MMLU).
GPT-5 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 24.0x more expensive than GPT-5 ($1.25/1M tokens).
For output processing, GPT-4 ($60.00/1M tokens) is 6.0x more expensive than GPT-5 ($10.00/1M tokens).
In conclusion, GPT-4 is more expensive than GPT-5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5 accepts 400,000 input tokens compared to GPT-4's 32,768 tokens. GPT-5 can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
Both GPT-4 and GPT-5 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
GPT-4
GPT-5
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-5 was released on 2025-08-07.
GPT-5 is 26 months newer than GPT-4.
Jun 13, 2023
3.2 years ago
Aug 7, 2025
1.1 years ago
2.2yr newerKnowledge Cutoff
When training data ends
GPT-4 has a knowledge cutoff of 2022-12-31, while GPT-5 has a cutoff of 2024-09-30.
GPT-5 has more recent training data (up to 2024-09-30), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).
Dec 2022
Sep 2024
1.8 yr newerProvider Availability
GPT-4 is available from Azure, OpenAI. GPT-5 is available from OpenAI.
GPT-4
GPT-5
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 and GPT-5 side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 vs GPT-5.