Model Comparison

Claude Opus 4.6 vs GPT-4Which is better in 2026?

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude Opus 4.6 is 3.8x cheaper per token.

Verdict: Claude Opus 4.6 vs GPT-4 — which is better?

Claude Opus 4.6 (by Anthropic) and GPT-4 (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 4.6 outperforms in 1 benchmarks (GPQA), while GPT-4 is better at 0 benchmarks. Claude Opus 4.6 significantly outperforms across most benchmarks.

On price, Claude Opus 4.6 is roughly 3.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 4.6 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude Opus 4.6 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 3.8x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose GPT-4 if…

  • you want predictable pricing at $30.00/M input and $60.00/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Claude Opus 4.6 outperforms in 1 benchmarks (GPQA), while GPT-4 is better at 0 benchmarks.

Claude Opus 4.6 significantly outperforms across most benchmarks.

Sun Jun 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Claude Opus 4.6 costs less

For input processing, Claude Opus 4.6 ($5.00/1M tokens) is 6.0x cheaper than GPT-4 ($30.00/1M tokens).

For output processing, Claude Opus 4.6 ($25.00/1M tokens) is 2.4x cheaper than GPT-4 ($60.00/1M tokens).

In conclusion, GPT-4 is more expensive than Claude Opus 4.6.*

* 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 4.6
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
OpenAI
GPT-4
Input tokens$30.00
Output tokens$60.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 4.6 accepts 1,000,000 input tokens compared to GPT-4's 32,768 tokens. Claude Opus 4.6 can generate longer responses up to 128,000 tokens, while GPT-4 is limited to 32,768 tokens.

Anthropic
Claude Opus 4.6
Input1,000,000 tokens
Output128,000 tokens
OpenAI
GPT-4
Input32,768 tokens
Output32,768 tokens
Sun Jun 07 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 4.6 and GPT-4 support multimodal inputs.

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

Claude Opus 4.6

Text
Images
Audio
Video

GPT-4

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 4.6

Proprietary

Closed source

GPT-4

Proprietary

Closed source

Release Timeline

When each model was launched

Claude Opus 4.6 was released on 2026-02-05, while GPT-4 was released on 2023-06-13.

Claude Opus 4.6 is 32 months newer than GPT-4.

Claude Opus 4.6

Feb 5, 2026

4 months ago

2.7yr newer
GPT-4

Jun 13, 2023

3.0 years ago

Knowledge Cutoff

When training data ends

GPT-4 has a documented knowledge cutoff of 2022-12-31, while Claude Opus 4.6's cutoff date is not specified.

We can confirm GPT-4's training data extends to 2022-12-31, but cannot make a direct comparison without Claude Opus 4.6's cutoff date.

Claude Opus 4.6

—

GPT-4

Dec 2022

Provider Availability

Claude Opus 4.6 is available from Anthropic. GPT-4 is available from Azure, OpenAI.

Claude Opus 4.6

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

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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Anthropic
Larger context window (1,000,000 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (91.3% vs 35.7%)
OpenAI

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

Detailed Comparison

AI Model Comparison Table
Feature
Anthropic
Claude Opus 4.6
OpenAI
GPT-4

FAQ

Common questions about Claude Opus 4.6 vs GPT-4.

Which is better, Claude Opus 4.6 or GPT-4?

Claude Opus 4.6 significantly outperforms across most benchmarks. Claude Opus 4.6 is made by Anthropic and GPT-4 is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Opus 4.6 compare to GPT-4 in benchmarks?

Claude Opus 4.6 scores Vending-Bench 2: 100.0%, AIME 2025: 99.8%, Tau2 Telecom: 99.3%, Graphwalks parents >128k: 95.4%, MRCR v2 (8-needle): 93.0%. GPT-4 scores AI2 Reasoning Challenge (ARC): 96.3%, HellaSwag: 95.3%, Uniform Bar Exam: 90.0%, SAT Math: 89.0%, LSAT: 88.0%.

Is Claude Opus 4.6 cheaper than GPT-4?

Claude Opus 4.6 is 6.0x cheaper for input tokens. Claude Opus 4.6 costs $5.00/M input and $25.00/M output via anthropic. GPT-4 costs $30.00/M input and $60.00/M output via azure.

What are the context window sizes for Claude Opus 4.6 and GPT-4?

Claude Opus 4.6 supports 1.0M tokens and GPT-4 supports 33K 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 4.6 and GPT-4?

Key differences include context window (1.0M vs 33K), input pricing ($5.00 vs $30.00/M). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4.6 and GPT-4?

Claude Opus 4.6 is developed by Anthropic and GPT-4 is developed by OpenAI.

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