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GPT-6 Luna vs Nova Pro

GPT-6 Luna leads the LLM Stats Score 44.5 to 12.3. GPT-6 Luna is 7.0x cheaper per token.

OpenAI · Amazon · Updated for 2026

Which is better?

GPT-6 Luna leads the overall LLM Stats Score 44.5 to 12.3, ranking #41 overall.

On price, GPT-6 Luna is roughly 7.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-6 Luna

  • overall performance matters — it scores 44.5 and ranks #41 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 7.0x cheaper per token
  • you process long inputs — it offers a 1,050,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose Nova Pro

  • you want predictable pricing at $0.80/M input and $3.20/M output

At a glance

The differences that matter most.

Core performance indexes
44.5
#41
12.3
#258
40.0
#58
12.0
#253
31.4
#47
10.1
#171
31.8
#30
10.2
#123
Cost, coverage & limits
Benchmark wins
Input price
$0.10 / M
$0.80 / M
Output price
$0.50 / M
$3.20 / M
Context window
1,050,000
300,000

Individual benchmarks

5 reported for GPT-6 Luna · 27 for Nova Pro

No common benchmarks found

GPT-6 Luna and Nova Prodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GPT-6 Luna costs less

For input processing, GPT-6 Luna ($0.10/1M tokens) is 8.0x cheaper than Nova Pro ($0.80/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 6.4x cheaper than Nova Pro ($3.20/1M tokens).

In conclusion, Nova Pro is more expensive than GPT-6 Luna.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
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-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-6 Luna is limited to 128,000 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Amazon
Nova Pro
Input300,000 tokens
Output300,000 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Luna and Nova Pro support multimodal inputs.

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

GPT-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-6 Luna

Proprietary

Closed source

Nova Pro

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while Nova Pro was released on 2024-11-20.

GPT-6 Luna is 22 months newer than Nova Pro.

GPT-6 Luna

Sep 22, 2026

0 days ago

1.8yr newer
Nova Pro

Nov 20, 2024

1.8 years ago

Knowledge Cutoff

When training data ends

GPT-6 Luna has a documented knowledge cutoff of 2026-05-18, while Nova Pro's cutoff date is not specified.

We can confirm GPT-6 Luna's training data extends to 2026-05-18, but cannot make a direct comparison without Nova Pro's cutoff date.

GPT-6 Luna

May 2026

Nova Pro

Provider Availability

GPT-6 Luna is available from OpenAI. Nova Pro is available from Bedrock.

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M

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

Judge for yourself.

Run your own prompts against GPT-6 Luna and Nova Pro side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
Nova Pro
Open in Playground

FAQ

Common questions about GPT-6 Luna vs Nova Pro.

Which is better, GPT-6 Luna or Nova Pro?

GPT-6 Luna leads the LLM Stats Score 44.5 to 12.3. GPT-6 Luna is made by OpenAI and Nova Pro is made by Amazon. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GPT-6 Luna compare to Nova Pro in benchmarks?

GPT-6 Luna scores DeepSWE 1.1: 66.6%, OSWorld 2.0: 52.7%, Agents' Last Exam: 50.9%, FrontierCode 1.1: 42.4%, AutomationBench v1.0.6: 20.7%. Nova Pro scores ARC-C: 94.8%, GSM8k: 94.8%, DocVQA: 93.5%, IFEval: 92.1%, ChartQA: 89.2%.

Is GPT-6 Luna cheaper than Nova Pro?

GPT-6 Luna is 8.0x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/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-6 Luna and Nova Pro?

GPT-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-6 Luna and Nova Pro?

Key differences include LLM Stats Score (44.5 vs 12.3), context window (1.1M vs 300K), input pricing ($0.10 vs $0.80/M). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6 Luna and Nova Pro?

GPT-6 Luna is developed by OpenAI and Nova Pro is developed by Amazon.