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GPT-6 Luna vs GPT-6.1 Terra

GPT-6 Luna and GPT-6.1 Terra are closely matched at 43.1 and 47.6 on the LLM Stats Score. GPT-6 Luna is 10.0x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-6 Luna and GPT-6.1 Terra are closely matched on the overall LLM Stats Score at 43.1 and 47.6.

In the 1 individual benchmarks reported for both models, GPT-6.1 Terra wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, GPT-6 Luna is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose GPT-6 Luna

  • cost matters — it's about 10.0x cheaper per token

Choose GPT-6.1 Terra

  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GPT-6 Luna
OpenAI
GPT-6.1 Terra
OpenAI
Core performance indexes
LLM Stats Score
43.1
#60
47.6
#37
Reasoning
39.2
#79
49.1
#18
Coding
29.7
#72
37.3
#30
Agents
30.4
#50
38.7
#11
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$0.10 / M
$1.00 / M
Output price
$0.50 / M
$5.00 / M
Context window
1,050,000
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-6 Luna
GPT-6.1 Terra
Tool use
22.5#60
33.3#5
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for GPT-6 Luna · 9 for GPT-6.1 Terra

1 shared

GPT-6 Luna outperforms in 0 benchmarks, while GPT-6.1 Terra is better at 1 benchmark (Agents' Last Exam).

GPT-6.1 Terra significantly outperforms across most benchmarks.

Sat Nov 07 2026 • llm-stats.com

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 10.0x cheaper than GPT-6.1 Terra ($1.00/1M tokens).

For output processing, GPT-6 Luna ($0.50/1M tokens) is 10.0x cheaper than GPT-6.1 Terra ($5.00/1M tokens).

In conclusion, GPT-6.1 Terra is more expensive than GPT-6 Luna.*

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

Lowest available price from all providers
Sat Nov 07 2026 • llm-stats.com
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
OpenAI
GPT-6.1 Terra
Input tokens$1.00
Output tokens$5.00
Best providerOpenAI
Notice missing or incorrect data?

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,050,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
OpenAI
GPT-6.1 Terra
Input1,050,000 tokens
Output128,000 tokens
Sat Nov 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6 Luna and GPT-6.1 Terra support multimodal inputs.

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

GPT-6 Luna

Text
Images
Audio
Video

GPT-6.1 Terra

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

GPT-6.1 Terra

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-6 Luna was released on 2026-09-22, while GPT-6.1 Terra was released on 2026-10-26.

GPT-6.1 Terra is 1 month newer than GPT-6 Luna.

GPT-6 Luna

Sep 22, 2026

1 months ago

GPT-6.1 Terra

Oct 26, 2026

1 weeks ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-6 Luna has a knowledge cutoff of 2026-05-18, while GPT-6.1 Terra has a cutoff of 2026-06-01.

GPT-6.1 Terra has more recent training data (up to 2026-06-01), making it potentially better informed about events through that date compared to GPT-6 Luna (2026-05-18).

GPT-6 Luna

May 2026

GPT-6.1 Terra

Jun 2026

1 mo newer

Provider Availability

GPT-6 Luna is available from OpenAI. GPT-6.1 Terra is available from OpenAI.

GPT-6 Luna

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

GPT-6.1 Terra

openai logo
OpenAI
Input Price:Input: $1.00/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6 Luna and GPT-6.1 Terra side-by-side, then vote on the output you prefer.

GPT-6 Luna
✓ Preferred
GPT-6.1 Terra
Open in Playground

FAQ

Common questions about GPT-6 Luna vs GPT-6.1 Terra.

Which is better, GPT-6 Luna or GPT-6.1 Terra?

GPT-6 Luna and GPT-6.1 Terra are closely matched on the LLM Stats Score at 43.1 and 47.6. GPT-6 Luna is made by OpenAI and GPT-6.1 Terra is made by OpenAI. 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 GPT-6.1 Terra 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%. GPT-6.1 Terra scores HealthBench Consensus: 95.1%, HealthBench Professional: 62.7%, Agents' Last Exam: 60.0%, Terminal-Bench-Science 0.1: 58.3%, MentalHealthBench: 55.5%.

Is GPT-6 Luna cheaper than GPT-6.1 Terra?

GPT-6 Luna is 10.0x cheaper for input tokens. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai. GPT-6.1 Terra costs $1.00/M input and $5.00/M output via openai.

What are the context window sizes for GPT-6 Luna and GPT-6.1 Terra?

GPT-6 Luna supports 1.1M tokens and GPT-6.1 Terra supports 1.1M 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 GPT-6.1 Terra?

Key differences include LLM Stats Score (43.1 vs 47.6), input pricing ($0.10 vs $1.00/M). See the full comparison above for benchmark-by-benchmark results.

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