GPT-5.6 Terra Pro vs Laguna S 2.1
Laguna S 2.1 costs 66.7x less per output token than GPT-5.6 Terra Pro ($0.18 vs $12.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $12.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.18
GPT-5.6 Terra Pro or Laguna S 2.1: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-5.6 Terra Pro for a larger context window (1.05M against 1.05M tokens).
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
GPT-5.6 Terra Pro
GPT-5.6 Terra Pro takes 1.05M tokens against 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Laguna S 2.1
GPT-5.6 Terra Pro $0.0080, Laguna S 2.1 $0.0002 per turn.
List prices
At a glance
- Coding index
- GPT-5.6 Terra Pro not benchmarked, Laguna S 2.1 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 Terra Pro $12.00 against Laguna S 2.1 $0.18 per million output tokens, 66.7x apart.
- Context window
- GPT-5.6 Terra Pro takes 1.05M tokens, Laguna S 2.1 1.05M.
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
Laguna S 2.1 costs less
Repository review
50K input + 3K output tokens
Laguna S 2.1 costs less
Agent loop
200K input + 10K output tokens
Laguna S 2.1 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 Terra Pro | Poolside Laguna S 2.1 |
|---|---|---|
| Maker | OpenAI | Poolside |
| Weights | No public weights listed | Open weights |
| Released | July 9, 2026 | July 21, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $0.09 |
| Output $/Mtok | $12.00 | $0.18 |
| 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 Terra Pro better than Laguna S 2.1 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-5.6 Terra Pro for a larger context window (1.05M against 1.05M tokens).
Which is cheaper, GPT-5.6 Terra Pro or Laguna S 2.1?
GPT-5.6 Terra Pro costs $2.00 per million input tokens and $12.00 per million output tokens; Laguna S 2.1 costs $0.09 and $0.18. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-5.6 Terra Pro or Laguna S 2.1?
GPT-5.6 Terra Pro, with 1.05M tokens against 1.05M.
Has any benchmark tested both GPT-5.6 Terra Pro and Laguna S 2.1?
No benchmark has tested either model yet, so price and context are the only way to compare them. Data as of October 22, 2026.