text model comparison
GPT-5.6 Terra vs GPT-6 Luna
GPT-5.6 Terra and GPT-6 Luna are both current text models, from OpenAI. GPT-6 Luna is 95% cheaper per 1M input tokens than GPT-5.6 Terra, $0.10 vs $2. On Arena Text, GPT-5.6 Terra scores 1466 Elo and GPT-6 Luna 1443 Elo (Arena, measured October 8, 2026). Both accept 1,050,000 tokens of context.
- Higher Arena Text
- GPT-5.6 Terra1466 Elo against 1443 Elo
- Lower price per 1M input tokens
- GPT-6 Luna$0.10 against $2
- Newer release
- GPT-6 LunaSep 2026 against Jul 2026
Data verified October 13, 2026 · Dataset 2026-10-28
Side by side
GPT-5.6 Terra and GPT-6 Luna, line by line
Prices in effect today, compared at the same tier wherever both list one. The better value in each row is highlighted.
| Fact | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| Price | ||
| Price per 1M input tokens | $2 | $0.10 (better) |
| Price per 1M output tokens | $12 | $0.50 (better) |
| Independent benchmarks | ||
| Arena Text | 1466 Elo (#27 of 49) (better) | 1443 Elo (#37 of 49) |
| GPQA Diamond | 93.3% (#13 of 40) (better) | 90.5% (#25 of 40) |
| FrontierMath Tiers 1-3 (v2) | 86% (#9 of 40) (better) | 78.9% (#14 of 40) |
| SimpleQA Verified | 43.2% (#25 of 36) (better) | 41.4% (#26 of 36) |
| Specs | ||
| Provider | OpenAI | OpenAI |
| Release date | July 9, 2026 | September 22, 2026 |
| Access | API only | API only |
| Context window | 1,050,000 tokens | 1,050,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Input | text, image | text, image |
| Output | text | text |
Charts
Against every current text model
Where GPT-5.6 Terra and GPT-6 Luna land among the current models of their task, on every independent benchmark, on price and on context.
Where each stands
On Arena Text, GPT-5.6 Terra ranks #27 and GPT-6 Luna #37 of 49 current models. Each bar is the share of current models it beats: on score, price and context.
Independent benchmarks
Arena Text
GPT-5.6 Terra:#27of 49
1,466 Elo · ahead of 44%
GPT-6 Luna:#37of 49
1,443 Elo · ahead of 23%
GPQA Diamond
GPT-5.6 Terra:#13of 40
93.3% · ahead of 67%
GPT-6 Luna:#25of 40
90.5% · ahead of 36%
FrontierMath Tiers 1-3 (v2)
GPT-5.6 Terra:#9of 40
86% · ahead of 79%
GPT-6 Luna:#14of 40
78.9% · ahead of 67%
SimpleQA Verified
GPT-5.6 Terra:#25of 36
43.2% · ahead of 31%
GPT-6 Luna:#26of 36
41.4% · ahead of 29%
Price and context
Price per 1M input tokens
GPT-5.6 Terra:#28of 51
$2 · cheaper than 24%
GPT-6 Luna:#1of 51
$0.10 · cheaper than 96%
Price per 1M output tokens
GPT-5.6 Terra:#39of 51
$12 · cheaper than 24%
GPT-6 Luna:#3of 51
$0.50 · cheaper than 92%
Context window
GPT-5.6 Terra:#1of 66
1.05M tokens · longer than 86%
GPT-6 Luna:#1of 66
1.05M tokens · longer than 86%
Quality against price
GPT-5.6 Terra scores 1,466 at $4.50; GPT-6 Luna scores 1,443 at $0.2 (blended price per 1M tokens). The line joins the current models no other beats on both price and Arena Text score; hover any point to name it.
Quality against price: the data
| Model | Provider | Blended price per 1M tokens | Arena Text (Elo) |
|---|---|---|---|
| Gemini 4 Argon | $4 | 1,525 | |
| Claude Opus 5.5 | Anthropic | $8 | 1,507 |
| Claude Fable 5 | Anthropic | $20 | 1,504 |
| Claude Fable 5.1 | Anthropic | $20 | 1,501 |
| Gemini 3.8 Flash | $1.50 | 1,497 | |
| Muse Spark 1.3 | Meta | $2 | 1,494 |
| Claude Opus 5 | Anthropic | $10 | 1,490 |
| Kimi K3 | Moonshot Kimi | $6 | 1,488 |
| Gemini 3.7 Flash | $1.50 | 1,486 | |
| GPT-5.6 Sol | OpenAI | $8 | 1,485 |
| GPT-6.1 Sol | OpenAI | $4 | 1,484 |
| Qwen3.8-Max | Alibaba Qwen | $3 | 1,483 |
| GPT-5.5 | OpenAI | $11 | 1,482 |
| Gemini 3.6 Flash | $3 | 1,482 | |
| Claude Opus 4.8 | Anthropic | $10 | 1,481 |
| MiMo-V2.6-Pro | Xiaomi MiMo | $0.54 | 1,480 |
| GLM-5.3 | Z.ai | $2.15 | 1,478 |
| Claude Sonnet 5.5 | Anthropic | $4 | 1,476 |
| GPT-5.4 | OpenAI | $5.63 | 1,475 |
| GPT-6 Astra | OpenAI | $20 | 1,475 |
| DeepSeek-V4.1-Flash | DeepSeek | $0.52 | 1,475 |
| GLM-5.3-Flash | Z.ai | $0.24 | 1,475 |
| Gemini 3 Flash Preview | $1.13 | 1,473 | |
| Grok 4.20 | xAI | $1.56 | 1,472 |
| GPT-5.6 Terra | OpenAI | $4.50 | 1,466 |
| Grok 4.5 | xAI | $3 | 1,466 |
| DeepSeek-V4-Pro | DeepSeek | $1.98 | 1,465 |
| Claude Sonnet 5 | Anthropic | $4 | 1,461 |
| GPT-6 Sol | OpenAI | $4 | 1,456 |
| Gemini 3.5 Flash-Lite | $0.85 | 1,455 | |
| Grok 4.6 | xAI | $3 | 1,454 |
| GPT-5.6 Luna | OpenAI | $0.45 | 1,452 |
| MiMo-V2.6-Flash | Xiaomi MiMo | $0.18 | 1,451 |
| GPT-6 Luna | OpenAI | $0.20 | 1,443 |
| Grok 4.7 | xAI | $3 | 1,443 |
| Grok 4.3 | xAI | $1.56 | 1,442 |
| Mistral Large 4 | Mistral AI | $2.06 | 1,429 |
| GPT-4.1 | OpenAI | $3.50 | 1,415 |
| Solar Pro 4 | Upstage | $0.52 | 1,386 |
| GPT-4.1 mini | OpenAI | $0.70 | 1,383 |
| GPT-4.1 nano | OpenAI | $0.18 | 1,322 |
Cost
What each costs
Example workloads at each provider's listed rates, then every other rate either one lists. The cheaper figure in each row is highlighted.
The same work, priced
For 10M input and 2M output tokens, GPT-5.6 Terra costs 22 times as much as GPT-6 Luna, at each provider's listed rates.
10M input and 2M output tokens
GPT-5.6 Terra costs 22× as much
- GPT-5.6 Terra
- $44
- GPT-6 Luna
- $2
The same, with 9M of the input tokens cached
GPT-5.6 Terra costs 23× as much
- GPT-5.6 Terra
- $27.80
- GPT-6 Luna
- $1.19
| Workload or rate | GPT-5.6 Terra | GPT-6 Luna |
|---|---|---|
| Example workloads | ||
| 10M input and 2M output tokens | $44 | $2 (better) |
| The same, with 9M of the input tokens cached | $27.80 | $1.19 (better) |
| Other listed rates | ||
| 1M input tokens, cached | $0.20 | $0.01 (better) |
| 1M input tokens, prompts over 272K tokens | Not listed | $0.20 |
| 1M output tokens, prompts over 272K tokens | Not listed | $0.75 |
Verdict
When to choose each
GPT-5.6 Terra
Where it leads
- Higher Arena Text score, 1466 Elo vs 1443 Elo
- Higher GPQA Diamond score, 93.3% vs 90.5%
- Higher FrontierMath Tiers 1-3 (v2) score, 86% vs 78.9%
- Higher SimpleQA Verified score, 43.2% vs 41.4%
Best for
- Balanced long-context API evaluations
- Reasoning-heavy work that does not depend on broad factual recall
Watch out for
- Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs
GPT-6 Luna
Where it leads
- Lower input and output prices, $0.10 and $0.50 vs $2 and $12 per 1M tokens
- Cheaper cached input, $0.01 vs $0.20 per 1M tokens
Best for
- High-volume summarisation, extraction and routing
- Long-context budget work, where the 272k threshold is more forgiving than Haiku 5.5's 100k
Watch out for
- Prompts over 272,000 tokens are rebilled at $0.20 input and $0.75 output for the whole request
- A twentieth of GPT-6 Sol's price reflects a capability gap, not a discount on the same model
From benchmark to production
Building on GPT-5.6 Terra or GPT-6 Luna?
Public scores rarely hold on your own data. We test both models on your real tasks, then build the agent or pipeline around the one that wins.
FAQ
GPT-5.6 Terra vs GPT-6 Luna FAQ
Which is cheaper, GPT-5.6 Terra or GPT-6 Luna?
GPT-6 Luna is 95% cheaper per 1M input tokens than GPT-5.6 Terra, $0.10 vs $2. For 10M input and 2M output tokens, GPT-5.6 Terra costs $44 and GPT-6 Luna $2 at standard rates.
Which is cheaper with prompt caching, GPT-5.6 Terra or GPT-6 Luna?
GPT-5.6 Terra charges $0.20 per 1M cached input tokens, 90% below its standard input rate, and GPT-6 Luna $0.01, 90% below. With 9M of 10M input tokens cached and 2M output tokens, GPT-5.6 Terra costs $27.80 and GPT-6 Luna $1.19.
Which scores higher on independent benchmarks, GPT-5.6 Terra or GPT-6 Luna?
GPT-5.6 Terra leads on Arena Text, 1466 Elo to 1443 Elo; GPT-5.6 Terra leads on GPQA Diamond, 93.3% to 90.5%; GPT-5.6 Terra leads on FrontierMath Tiers 1-3 (v2), 86% to 78.9%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, GPT-5.6 Terra or GPT-6 Luna?
Both accept 1,050,000 tokens of context. Both return up to 128,000 tokens per response.
Further reading
More on GPT-5.6 Terra and GPT-6 Luna
Articles on GPT-5.6 Terra and GPT-6 Luna
- OpenAI Models on Google Cloud: What Changes for AI TeamsOctober 22, 2026
- Claude Sonnet 5.5 vs GPT-6 Luna: Cost, Speed and AccuracySeptember 29, 2026
- GPT-6 Sol vs Claude Opus 5.5, Plus Luna: Best Value per TaskSeptember 24, 2026
- GPT-6 Sol and Luna: Half the Price, and Where Each One FitsSeptember 23, 2026
- GPT-5.6 on Azure Databricks: Production Guide for AI TeamsJuly 11, 2026
- GPT-5.6 In Microsoft 365 Copilot: What Production Teams Should KnowJuly 10, 2026
Related comparisons
- Claude Sonnet 5.5 vs GPT-5.6 Terra
- Claude Sonnet 5.5 vs GPT-6 Luna
- Claude Sonnet 5 vs GPT-5.6 Terra
- Claude Opus 5.5 vs GPT-6 Luna
- GPT-4.1 vs GPT-5.6 Terra
- GPT-4.1 mini vs GPT-6 Luna
- GPT-5.6 Luna vs GPT-5.6 Terra
- GPT-4.1 vs GPT-6 Luna
- GPT-5.6 Sol vs GPT-5.6 Terra
- GPT-5.4 vs GPT-6 Luna
- DeepSeek-V4.1-Flash vs GPT-5.6 Terra
- GPT-5.6 Luna vs GPT-6 Luna
Production evaluation
Choosing between GPT-5.6 Terra and GPT-6 Luna?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty
