Model Comparison

GPT-5.6 Luna vs Nova ProWhich is better in 2026?

GPT-5.6 Luna significantly outperforms across most benchmarks. Nova Pro is 1.6x cheaper per token.

Verdict: GPT-5.6 Luna vs Nova Pro — which is better?

GPT-5.6 Luna (by OpenAI) and Nova Pro (by Amazon) 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-5.6 Luna outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks. GPT-5.6 Luna significantly outperforms across most benchmarks.

On price, Nova Pro is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.6 Luna if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Nova Pro if…

  • cost matters — it's about 1.6x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.6 Luna outperforms in 1 benchmarks (GPQA), while Nova Pro is better at 0 benchmarks.

GPT-5.6 Luna significantly outperforms across most benchmarks.

Mon Jul 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Nova Pro costs less

For input processing, GPT-5.6 Luna ($1.00/1M tokens) is 1.3x more expensive than Nova Pro ($0.80/1M tokens).

For output processing, GPT-5.6 Luna ($6.00/1M tokens) is 1.9x more expensive than Nova Pro ($3.20/1M tokens).

In conclusion, GPT-5.6 Luna is more expensive than Nova Pro.*

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

Lowest available price from all providers
Mon Jul 20 2026 • llm-stats.com
OpenAI
GPT-5.6 Luna
Input tokens$1.00
Output tokens$6.00
Best providerOpenAI
Amazon
Nova Pro
Input tokens$0.80
Output tokens$3.20
Best providerAWS Bedrock
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.6 Luna accepts 1,050,000 input tokens compared to Nova Pro's 300,000 tokens. Nova Pro can generate longer responses up to 300,000 tokens, while GPT-5.6 Luna is limited to 128,000 tokens.

OpenAI
GPT-5.6 Luna
Input1,050,000 tokens
Output128,000 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Mon Jul 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Luna and Nova Pro support multimodal inputs.

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

GPT-5.6 Luna

Text
Images
Audio
Video

Nova Pro

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-5.6 Luna

Proprietary

Closed source

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Luna was released on 2026-07-09, while Nova Pro was released on 2024-11-20.

GPT-5.6 Luna is 20 months newer than Nova Pro.

GPT-5.6 Luna

Jul 9, 2026

1 weeks ago

1.6yr newer
Nova Pro

Nov 20, 2024

1.7 years ago

Knowledge Cutoff

When training data ends

GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Nova Pro's cutoff date is not specified.

We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Nova Pro's cutoff date.

GPT-5.6 Luna

Feb 2026

Nova Pro

—

Provider Availability

GPT-5.6 Luna is available from OpenAI. Nova Pro is available from Bedrock.

GPT-5.6 Luna

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $6.00/1M

Nova Pro

bedrock logo
AWS Bedrock
Input Price:Input: $0.80/1MOutput Price:Output: $3.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,050,000 tokens)
Higher GPQA score (92.3% vs 46.9%)
Amazon
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.6 Luna and Nova Pro side-by-side, then vote on the output you prefer.

GPT-5.6 Luna
✓ Preferred
Nova Pro
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.6 Luna
Amazon
Nova Pro

FAQ

Common questions about GPT-5.6 Luna vs Nova Pro.

Which is better, GPT-5.6 Luna or Nova Pro?

GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is made by OpenAI and Nova Pro is made by Amazon. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.6 Luna compare to Nova Pro in benchmarks?

GPT-5.6 Luna scores Connectors: 99.9%, HealthBench Consensus: 95.1%, GPQA: 92.3%, Search and Function-Calling: 89.7%, Capture-the-Flag Challenges (Internal): 85.2%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

Is GPT-5.6 Luna cheaper than Nova Pro?

Nova Pro is 1.3x cheaper for input tokens. GPT-5.6 Luna costs $1.00/M input and $6.00/M output via openai. Nova Pro costs $0.80/M input and $3.20/M output via bedrock.

What are the context window sizes for GPT-5.6 Luna and Nova Pro?

GPT-5.6 Luna supports 1.1M tokens and Nova Pro supports 300K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Luna and Nova Pro?

Key differences include context window (1.1M vs 300K), input pricing ($1.00 vs $0.80/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Luna and Nova Pro?

GPT-5.6 Luna is developed by OpenAI and Nova Pro is developed by Amazon.

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