GPT-4 Turbo vs GPT-4o
GPT-4 Turbo and GPT-4o are closely matched at 9.0 and 11.5 on the LLM Stats Score. GPT-4o is 3.4x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-4 Turbo and GPT-4o are closely matched on the overall LLM Stats Score at 9.0 and 11.5.
In the 6 individual benchmarks reported for both models, GPT-4o wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4o is roughly 3.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose GPT-4 Turbo
- you want predictable pricing at $10.00/M input and $30.00/M output
Choose GPT-4o
- you value its reported benchmark strengths — it wins 5 of 6 exact shared results
- cost matters — it's about 3.4x cheaper per token
- you want the most recent training data — it shipped May 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
6 reported for GPT-4 Turbo · 8 for GPT-4o
GPT-4 Turbo outperforms in 1 benchmarks (DROP), while GPT-4o is better at 5 benchmarks (GPQA, HumanEval, MATH, MGSM, MMLU).
GPT-4o 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 Turbo ($10.00/1M tokens) is 4.0x more expensive than GPT-4o ($2.50/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 3.0x more expensive than GPT-4o ($10.00/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than GPT-4o.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
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-4 Turbo
GPT-4o
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 Turbo was released on 2024-04-09, while GPT-4o was released on 2024-05-13.
GPT-4o is 1 month newer than GPT-4 Turbo.
Apr 9, 2024
2.4 years ago
May 13, 2024
2.3 years ago
1mo newerKnowledge 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.
Dec 2023
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Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. GPT-4o is available from Azure, OpenAI.
GPT-4 Turbo
GPT-4o
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and GPT-4o side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs GPT-4o.