Model Comparison

Claude Opus 4.5 vs GPT-4.1 nanoWhich is better in 2026?

Claude Opus 4.5 significantly outperforms across most benchmarks. GPT-4.1 nano is 57.1x cheaper per token.

Verdict: Claude Opus 4.5 vs GPT-4.1 nano — which is better?

Claude Opus 4.5 (by Anthropic) 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.

Claude Opus 4.5 outperforms in 2 benchmarks (GPQA, MMMLU), while GPT-4.1 nano is better at 0 benchmarks. Claude Opus 4.5 significantly outperforms across most benchmarks.

On price, GPT-4.1 nano is roughly 57.1x 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 Claude Opus 4.5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Nov 2025

Choose GPT-4.1 nano if…

  • cost matters — it's about 57.1x cheaper per token
  • you process long inputs — it offers a 1,047,576 token context window
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Opus 4.5 outperforms in 2 benchmarks (GPQA, MMMLU), while GPT-4.1 nano is better at 0 benchmarks.

Claude Opus 4.5 significantly outperforms across most benchmarks.

Sun Jun 07 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, Claude Opus 4.5 ($5.00/1M tokens) is 50.0x more expensive than GPT-4.1 nano ($0.10/1M tokens).

For output processing, Claude Opus 4.5 ($25.00/1M tokens) is 62.5x more expensive than GPT-4.1 nano ($0.40/1M tokens).

In conclusion, Claude Opus 4.5 is more expensive than GPT-4.1 nano.*

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

Lowest available price from all providers
Sun Jun 07 2026 • llm-stats.com
Anthropic
Claude Opus 4.5
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
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 Claude Opus 4.5's 200,000 tokens. Claude Opus 4.5 can generate longer responses up to 64,000 tokens, while GPT-4.1 nano is limited to 32,768 tokens.

Anthropic
Claude Opus 4.5
Input200,000 tokens
Output64,000 tokens
OpenAI
GPT-4.1 nano
Input1,047,576 tokens
Output32,768 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.5 and GPT-4.1 nano support multimodal inputs.

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

Claude Opus 4.5

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.

Claude Opus 4.5

Proprietary

Closed source

GPT-4.1 nano

Proprietary

Closed source

Release Timeline

When each model was launched

Claude Opus 4.5 was released on 2025-11-24, while GPT-4.1 nano was released on 2025-04-14.

Claude Opus 4.5 is 7 months newer than GPT-4.1 nano.

Claude Opus 4.5

Nov 24, 2025

6 months ago

7mo newer
GPT-4.1 nano

Apr 14, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

Claude Opus 4.5 has a knowledge cutoff of 2025-03-31, while GPT-4.1 nano has a cutoff of 2024-05-31.

Claude Opus 4.5 has more recent training data (up to 2025-03-31), making it potentially better informed about events through that date compared to GPT-4.1 nano (2024-05-31).

Claude Opus 4.5

Mar 2025

10 mo newer
GPT-4.1 nano

May 2024

Provider Availability

Claude Opus 4.5 is available from Anthropic. GPT-4.1 nano is available from OpenAI.

Claude Opus 4.5

anthropic logo
Anthropic
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Higher GPQA score (87.0% vs 50.3%)
Higher MMMLU score (90.8% vs 66.9%)
OpenAI
Larger context window (1,047,576 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.5
OpenAI
GPT-4.1 nano

FAQ

Common questions about Claude Opus 4.5 vs GPT-4.1 nano.

Which is better, Claude Opus 4.5 or GPT-4.1 nano?

Claude Opus 4.5 significantly outperforms across most benchmarks. Claude Opus 4.5 is made by Anthropic 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 Claude Opus 4.5 compare to GPT-4.1 nano in benchmarks?

Claude Opus 4.5 scores Tau2 Telecom: 98.2%, MMMLU: 90.8%, Tau2 Retail: 88.9%, GPQA: 87.0%, SWE-Bench Verified: 80.9%. GPT-4.1 nano scores MMLU: 80.1%, IFEval: 74.5%, CharXiv-D: 73.9%, MMMLU: 66.9%, Multi-IF: 57.2%.

Is Claude Opus 4.5 cheaper than GPT-4.1 nano?

GPT-4.1 nano is 50.0x cheaper for input tokens. Claude Opus 4.5 costs $5.00/M input and $25.00/M output via anthropic. GPT-4.1 nano costs $0.10/M input and $0.40/M output via openai.

What are the context window sizes for Claude Opus 4.5 and GPT-4.1 nano?

Claude Opus 4.5 supports 200K 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 Claude Opus 4.5 and GPT-4.1 nano?

Key differences include context window (200K vs 1.0M), input pricing ($5.00 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4.5 and GPT-4.1 nano?

Claude Opus 4.5 is developed by Anthropic and GPT-4.1 nano is developed by OpenAI.

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