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GPT-5.6 Terra vs GPT-6 Luna

GPT-5.6 Terra and GPT-6 Luna are closely matched at 50.3 and 44.5 on the LLM Stats Score. GPT-6 Luna is 22.5x cheaper per token.

OpenAI · OpenAI · Updated for 2026

Which is better?

GPT-5.6 Terra and GPT-6 Luna are closely matched on the overall LLM Stats Score at 50.3 and 44.5.

In the 4 individual benchmarks reported for both models, GPT-6 Luna wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, GPT-6 Luna is roughly 22.5x 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-5.6 Terra

  • you want predictable pricing at $2.00/M input and $12.00/M output

Choose GPT-6 Luna

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • cost matters — it's about 22.5x cheaper per token
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
50.3
#16
44.5
#41
48.4
#20
40.0
#58
41.7
#9
31.4
#47
37.4
#13
31.8
#30
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$2.00 / M
$0.10 / M
Output price
$12.00 / M
$0.50 / M
Context window
1,050,000
1,050,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GPT-5.6 Terra
GPT-6 Luna
26.6#26
22.1#47
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Terra · 5 for GPT-6 Luna

4 shared

GPT-5.6 Terra outperforms in 1 benchmarks (DeepSWE 1.1), while GPT-6 Luna is better at 3 benchmarks (Agents' Last Exam, FrontierCode 1.1, OSWorld 2.0).

GPT-6 Luna shows notably better performance in the majority of benchmarks.

Wed Sep 23 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-5.6 Terra ($2.00/1M tokens) is 20.0x more expensive than GPT-6 Luna ($0.10/1M tokens).

For output processing, GPT-5.6 Terra ($12.00/1M tokens) is 24.0x more expensive than GPT-6 Luna ($0.50/1M tokens).

In conclusion, GPT-5.6 Terra is more expensive than GPT-6 Luna.*

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

Lowest available price from all providers
Wed Sep 23 2026 • llm-stats.com
OpenAI
GPT-5.6 Terra
Input tokens$2.00
Output tokens$12.00
Best providerOpenAI
OpenAI
GPT-6 Luna
Input tokens$0.10
Output tokens$0.50
Best providerOpenAI
Notice missing or incorrect data?Start an Issue

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-5.6 Terra
Input1,050,000 tokens
Output128,000 tokens
OpenAI
GPT-6 Luna
Input1,050,000 tokens
Output128,000 tokens
Wed Sep 23 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-5.6 Terra and GPT-6 Luna support multimodal inputs.

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

GPT-5.6 Terra

Text
Images
Audio
Video

GPT-6 Luna

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 Terra

Proprietary

Closed source

GPT-6 Luna

Proprietary

Closed source

Release Timeline

When each model was launched

GPT-5.6 Terra was released on 2026-07-09, while GPT-6 Luna was released on 2026-09-22.

GPT-6 Luna is 3 months newer than GPT-5.6 Terra.

GPT-5.6 Terra

Jul 9, 2026

2 months ago

GPT-6 Luna

Sep 22, 2026

0 days ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Terra has a knowledge cutoff of 2026-02-16, while GPT-6 Luna has a cutoff of 2026-05-18.

GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to GPT-5.6 Terra (2026-02-16).

GPT-5.6 Terra

Feb 2026

GPT-6 Luna

May 2026

3 mo newer

Provider Availability

GPT-5.6 Terra is available from OpenAI. GPT-6 Luna is available from OpenAI.

GPT-5.6 Terra

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $12.00/1M

GPT-6 Luna

openai logo
OpenAI
Input Price:Input: $0.10/1MOutput Price:Output: $0.50/1M
* 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-5.6 Terra and GPT-6 Luna side-by-side, then vote on the output you prefer.

GPT-5.6 Terra
✓ Preferred
GPT-6 Luna
Open in Playground

FAQ

Common questions about GPT-5.6 Terra vs GPT-6 Luna.

Which is better, GPT-5.6 Terra or GPT-6 Luna?

GPT-5.6 Terra and GPT-6 Luna are closely matched on the LLM Stats Score at 50.3 and 44.5. GPT-5.6 Terra is made by OpenAI and GPT-6 Luna 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-5.6 Terra compare to GPT-6 Luna in benchmarks?

GPT-5.6 Terra scores Connectors: 100.0%, HealthBench Consensus: 95.1%, Search and Function-Calling: 94.6%, GPQA: 92.9%, Capture-the-Flag Challenges (Internal): 91.8%. 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%.

Is GPT-5.6 Terra cheaper than GPT-6 Luna?

GPT-6 Luna is 20.0x cheaper for input tokens. GPT-5.6 Terra costs $2.00/M input and $12.00/M output via openai. GPT-6 Luna costs $0.10/M input and $0.50/M output via openai.

What are the context window sizes for GPT-5.6 Terra and GPT-6 Luna?

GPT-5.6 Terra supports 1.1M tokens and GPT-6 Luna 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-5.6 Terra and GPT-6 Luna?

Key differences include LLM Stats Score (50.3 vs 44.5), input pricing ($2.00 vs $0.10/M). See the full comparison above for benchmark-by-benchmark results.