Model Comparison

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

Both models are evenly matched across the benchmarks. GPT-4.1 nano is 85.7x cheaper per token.

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

GPT-4 Turbo (by OpenAI) and GPT-4.1 nano (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 1 benchmarks (MMLU), while GPT-4.1 nano is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

On price, GPT-4.1 nano is roughly 85.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-4.1 nano 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 nano if…

  • cost matters — it's about 85.7x 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 1 benchmarks (MMLU), while GPT-4.1 nano is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GPT-4.1 nano costs less

For input processing, GPT-4 Turbo ($10.00/1M tokens) is 100.0x more expensive than GPT-4.1 nano ($0.10/1M tokens).

For output processing, GPT-4 Turbo ($30.00/1M tokens) is 75.0x more expensive than GPT-4.1 nano ($0.40/1M tokens).

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

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
OpenAI
GPT-4.1 nano
Input tokens$0.10
Output tokens$0.40
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-4.1 nano accepts 1,047,576 input tokens compared to GPT-4 Turbo's 128,000 tokens. GPT-4.1 nano 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 nano
Input1,047,576 tokens
Output32,768 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

GPT-4.1 nano 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 nano

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 nano

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

GPT-4 Turbo

Apr 9, 2024

2.2 years ago

GPT-4.1 nano

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 nano has a cutoff of 2024-05-31.

GPT-4.1 nano 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 nano

May 2024

5 mo newer

Provider Availability

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

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Higher MMLU score (86.5% vs 80.1%)
OpenAI
Larger context window (1,047,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (50.3% vs 48.0%)

Detailed Comparison

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

FAQ

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

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

Both models are evenly matched across the benchmarks. GPT-4 Turbo is made by OpenAI and GPT-4.1 nano 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 nano in benchmarks?

GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.

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

GPT-4.1 nano is 100.0x cheaper for input tokens. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai.

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

GPT-4 Turbo supports 128K tokens and GPT-4.1 nano 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 nano?

Key differences include context window (128K vs 1.0M), input pricing ($10.00 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

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