Model Comparison

GPT-4 Turbo vs GPT-4.1 miniWhich is better in 2026?

GPT-4.1 mini significantly outperforms across most benchmarks. GPT-4.1 mini is 21.4x cheaper per token.

Verdict: GPT-4 Turbo vs GPT-4.1 mini — which is better?

GPT-4 Turbo (by OpenAI) and GPT-4.1 mini (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-4 Turbo outperforms in 0 benchmarks, while GPT-4.1 mini is better at 2 benchmarks (GPQA, MMLU). GPT-4.1 mini significantly outperforms across most benchmarks.

On price, GPT-4.1 mini is roughly 21.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 mini also accepts a larger context window (1,047,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-4 Turbo if…

  • you want predictable pricing at $10.00/M input and $30.00/M output

Choose GPT-4.1 mini if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 21.4x cheaper per token
  • you process long inputs — it offers a 1,047,576 token context window
  • you want the most recent training data — it shipped Apr 2025
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-4 Turbo outperforms in 0 benchmarks, while GPT-4.1 mini is better at 2 benchmarks (GPQA, MMLU).

GPT-4.1 mini significantly outperforms across most benchmarks.

Tue Jun 16 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 mini costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 25.0x more expensive than GPT-4.1 mini ($0.40/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 18.8x more expensive than GPT-4.1 mini ($1.60/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than GPT-4.1 mini.*

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

Lowest available price from all providers
Tue Jun 16 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
OpenAI
GPT-4.1 mini
Input tokens$0.40
Output tokens$1.60
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 mini accepts 1,047,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. GPT-4.1 mini can generate longer responses up to 32,768 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
OpenAI
GPT-4.1 mini
Input1,047,576 tokens
Output32,768 tokens
Tue Jun 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-4.1 mini supports multimodal inputs, whereas GPT-4 Turbo does not.

GPT-4.1 mini can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-4 Turbo

Text
Images
Audio
Video

GPT-4.1 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 Turbo

Proprietary

Closed source

GPT-4.1 mini

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-4 Turbo was released on 2024-04-09, while GPT-4.1 mini was released on 2025-04-14.

GPT-4.1 mini is 12 months newer than GPT-4 Turbo.

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

GPT-4.1 mini

Apr 14, 2025

1.2 years ago

1.0yr newer

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a knowledge cutoff of 2023-12-31, while GPT-4.1 mini has a cutoff of 2024-05-31.

GPT-4.1 mini has more recent training data (up to 2024-05-31), making it potentially better informed about events through that date compared to GPT-4 Turbo (2023-12-31).

GPT-4 Turbo

Dec 2023

GPT-4.1 mini

May 2024

5 mo newer

Provider Availability

GPT-4 Turbo is available from Azure, OpenAI. GPT-4.1 mini is available from OpenAI.

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M

GPT-4.1 mini

openai logo
OpenAI
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI

No standout differentiators in the data we have for this pair.

OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (65.0% vs 48.0%)
Higher MMLU score (87.5% vs 86.5%)
OpenAIGPT-4 Turbo
OpenAIGPT-4.1 mini
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Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-4 Turbo
OpenAI
GPT-4.1 mini

FAQ

Common questions about GPT-4 Turbo vs GPT-4.1 mini.

Which is better, GPT-4 Turbo or GPT-4.1 mini?

GPT-4.1 mini significantly outperforms across most benchmarks. GPT-4 Turbo is made by OpenAI and GPT-4.1 mini is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-4 Turbo compare to GPT-4.1 mini in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. GPT-4.1 mini scores CharXiv-D: 88.4%, MMLU: 87.5%, IFEval: 84.1%, MMMLU: 78.5%, MathVista: 73.1%.

Is GPT-4 Turbo cheaper than GPT-4.1 mini?

GPT-4.1 mini is 25.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. GPT-4.1 mini costs $0.40/M input and $1.60/M output via openai.

What are the context window sizes for GPT-4 Turbo and GPT-4.1 mini?

GPT-4 Turbo supports 128K tokens and GPT-4.1 mini supports 1.0M 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 Turbo and GPT-4.1 mini?

Key differences include context window (128K vs 1.0M), input pricing ($10.00 vs $0.40/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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