GPT-5.6 Luna Pro vs GPT-6.1 Sol Pro
GPT-5.6 Luna Pro costs 8.3x less per output token than GPT-6.1 Sol Pro ($1.20 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.20
- Coding
- No data
- Overall
- No data
- Output $/M
- $10.00
GPT-5.6 Luna Pro or GPT-6.1 Sol Pro: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5.6 Luna Pro for output tokens 8.3x cheaper ($1.20 vs $10.00 per million).
No benchmark has tested either model yet, so price and context are the only way to compare them.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
GPT-5.6 Luna Pro
GPT-5.6 Luna Pro $0.0008, GPT-6.1 Sol Pro $0.0070 per turn.
List prices
At a glance
- Coding index
- GPT-5.6 Luna Pro not benchmarked, GPT-6.1 Sol Pro not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- GPT-5.6 Luna Pro $1.20 against GPT-6.1 Sol Pro $10.00 per million output tokens, 8.3x apart.
- Context window
- Both take 1.05M tokens.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
GPT-5.6 Luna Pro costs less
Repository review
50K input + 3K output tokens
GPT-5.6 Luna Pro costs less
Agent loop
200K input + 10K output tokens
GPT-5.6 Luna Pro costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-5.6 Luna Pro | OpenAI GPT-6.1 Sol Pro |
|---|---|---|
| Maker | OpenAI | OpenAI |
| Weights | No public weights listed | No public weights listed |
| Released | July 9, 2026 | September 29, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.20 | $2.00 |
| Output $/Mtok | $1.20 | $10.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.6 Luna Pro better than GPT-6.1 Sol Pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.6 Luna Pro for output tokens 8.3x cheaper ($1.20 vs $10.00 per million).
Which is cheaper, GPT-5.6 Luna Pro or GPT-6.1 Sol Pro?
GPT-5.6 Luna Pro costs $0.20 per million input tokens and $1.20 per million output tokens; GPT-6.1 Sol Pro costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5.6 Luna Pro or GPT-6.1 Sol Pro?
Neither: both take 1.05M tokens.
Has any benchmark tested both GPT-5.6 Luna Pro and GPT-6.1 Sol Pro?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.