GPT-4 Turbo vs GPT-4o mini
GPT-4 Turbo and GPT-4o mini are closely matched at 9.2 and 3.9 on the LLM Stats Score. GPT-4o mini is 57.1x cheaper per token.
OpenAI · OpenAI · Updated for 2026
Which is better?
GPT-4 Turbo and GPT-4o mini are closely matched on the overall LLM Stats Score at 9.2 and 3.9.
In the 6 individual benchmarks reported for both models, GPT-4 Turbo wins 5; this is a narrower head-to-head signal than the composite indexes.
On price, GPT-4o mini is roughly 57.1x 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 value its reported benchmark strengths — it wins 5 of 6 exact shared results
Choose GPT-4o mini
- cost matters — it's about 57.1x cheaper per token
- you want the most recent training data — it shipped Jul 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 · 9 for GPT-4o mini
GPT-4 Turbo outperforms in 5 benchmarks (DROP, GPQA, MATH, MGSM, MMLU), while GPT-4o mini is better at 1 benchmark (HumanEval).
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 Turbo ($10.00/1M tokens) is 66.7x more expensive than GPT-4o mini ($0.15/1M tokens).
For output processing, GPT-4 Turbo ($30.00/1M tokens) is 50.0x more expensive than GPT-4o mini ($0.60/1M tokens).
In conclusion, GPT-4 Turbo is more expensive than GPT-4o mini.*
* 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. GPT-4o mini can generate longer responses up to 16,384 tokens, while GPT-4 Turbo is limited to 4,096 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4o mini supports multimodal inputs, whereas GPT-4 Turbo does not.
GPT-4o mini can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4 Turbo
GPT-4o mini
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 mini was released on 2024-07-18.
GPT-4o mini is 3 months newer than GPT-4 Turbo.
Apr 9, 2024
2.4 years ago
Jul 18, 2024
2.1 years ago
3mo newerKnowledge Cutoff
When training data ends
GPT-4 Turbo has a knowledge cutoff of 2023-12-31, while GPT-4o mini has a cutoff of 2023-10-01.
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-4o mini (2023-10-01).
Dec 2023
2 mo newerOct 2023
Provider Availability
GPT-4 Turbo is available from Azure, OpenAI. GPT-4o mini is available from Azure.
GPT-4 Turbo
GPT-4o mini
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4 Turbo and GPT-4o mini side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4 Turbo vs GPT-4o mini.