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GPT-4 vs GPT-4o mini

GPT-4 and GPT-4o mini are closely matched at 3.0 and 3.6 on the LLM Stats Score. GPT-4o mini is 142.9x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-4 and GPT-4o mini are closely matched on the overall LLM Stats Score at 3.0 and 3.6.

In the 6 individual benchmarks reported for both models, GPT-4o mini wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, GPT-4o mini is roughly 142.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4o mini 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-4o mini

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results
  • cost matters — it's about 142.9x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Jul 2024

At a glance

The differences that matter most.

Core performance indexes
3.0
#310
3.6
#307
3.0
#303
4.1
#297
-5.2
#260
-0.6
#244
Cost, coverage & limits
Benchmark wins
2 of 6
4 of 6
Input price
$30.00 / M
$0.15 / M
Output price
$60.00 / M
$0.60 / M
Context window
32,768
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-4
GPT-4o mini
8.5#258
11.4#241
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

12 reported for GPT-4 · 9 for GPT-4o mini

6 shared

GPT-4 outperforms in 2 benchmarks (DROP, MMLU), while GPT-4o mini is better at 4 benchmarks (GPQA, HumanEval, MATH, MGSM).

GPT-4o mini shows notably better performance in the majority of benchmarks.

Tue Sep 15 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-4o mini costs less

For input processing, GPT-4 ($30.00/1M tokens) is 200.0x more expensive than GPT-4o mini ($0.15/1M tokens).

For output processing, GPT-4 ($60.00/1M tokens) is 100.0x more expensive than GPT-4o mini ($0.60/1M tokens).

In conclusion, GPT-4 is more expensive than GPT-4o mini.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Tue Sep 15 2026 • llm-stats.com
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
OpenAI
GPT-4o mini
Input tokens$0.15
Output tokens$0.60
Best providerAzure
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-4o mini 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-4o mini is limited to 16,384 tokens.

OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
OpenAI
GPT-4o mini
Input128,000 tokens
Output16,384 tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-4 and GPT-4o mini support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-4

Text
Images
Audio
Video

GPT-4o mini

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

GPT-4

Proprietary

Closed source

GPT-4o mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 was released on 2023-06-13, while GPT-4o mini was released on 2024-07-18.

GPT-4o mini is 13 months newer than GPT-4.

GPT-4

Jun 13, 2023

3.3 years ago

GPT-4o mini

Jul 18, 2024

2.2 years ago

1.1yr newer

Knowledge Cutoff

When training data ends

GPT-4 has a knowledge cutoff of 2022-12-31, while GPT-4o mini has a cutoff of 2023-10-01.

GPT-4o mini has more recent training data (up to 2023-10-01), making it potentially better informed about events through that date compared to GPT-4 (2022-12-31).

GPT-4

Dec 2022

GPT-4o mini

Oct 2023

10 mo newer

Provider Availability

GPT-4 is available from Azure, OpenAI. GPT-4o mini is available from Azure.

GPT-4

azure logo
Azure
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $30.00/1MOutput Price:Output: $60.00/1M

GPT-4o mini

azure logo
Azure
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-4 and GPT-4o mini side-by-side, then vote on the output you prefer.

GPT-4
✓ Preferred
GPT-4o mini
Open in Playground

FAQ

Common questions about GPT-4 vs GPT-4o mini.

Which is better, GPT-4 or GPT-4o mini?

GPT-4 and GPT-4o mini are closely matched on the LLM Stats Score at 3.0 and 3.6. GPT-4 is made by OpenAI and GPT-4o mini is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-4 compare to GPT-4o mini in benchmarks?

GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%. GPT-4o mini scores HumanEval: 87.2%, MGSM: 87.0%, MMLU: 82.0%, DROP: 79.7%, MATH: 70.2%.

Is GPT-4 cheaper than GPT-4o mini?

GPT-4o mini is 200.0x cheaper for input tokens. GPT-4 costs $30.00/M input and $60.00/M output via azure. GPT-4o mini costs $0.15/M input and $0.60/M output via azure.

What are the context window sizes for GPT-4 and GPT-4o mini?

GPT-4 supports 33K tokens and GPT-4o mini supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-4 and GPT-4o mini?

Key differences include LLM Stats Score (3.0 vs 3.6), context window (33K vs 128K), input pricing ($30.00 vs $0.15/M). See the full comparison above for benchmark-by-benchmark results.