GPT-5.6 Sol
9.9editorial fit
OpenAI frontier model. Programmatic tool calling and persisted reasoning.
Pricing caveat
Standard long-context API tier (over 272K input tokens), per OpenAI pricing.
Compare models without flattening the tradeoffs.
Choose two or three models. We’ll keep capability, price, context, caveats, and evidence in the same view.
Decision summary
GPT-5.6 Sol vs GPT-5.6 Terra
GPT-5.6 Terra
9.6editorial fit
GPT-5.6 balance of intelligence and cost. Programmatic tool calling and persisted reasoning.
Pricing caveat
Standard long-context API tier (over 272K input tokens), per OpenAI pricing.
| Decision factor | GPT-5.6 Sol | GPT-5.6 Terra |
|---|---|---|
| Editorial fit40% coding · 35% reasoning · 25% tool use | 9.9Best in this set | 9.6 |
| CodingNormalized editorial dimension | 9.9Best in this set | 9.6 |
| ReasoningNormalized editorial dimension | 9.9Best in this set | 9.6 |
| Tool useNormalized editorial dimension | 9.9Best in this set | 9.7 |
| Context windowProvider specification | 1.05MBest in this set | 1.05MBest in this set |
| Input priceUSD per 1M tokens | $10 | $4Best in this set |
| Output priceUSD per 1M tokens | $45 | $18Best in this set |
| Best fitFrom the catalog record |
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| Source trailOpen before choosing |
How to decide
Choose the constraint that can’t move.
01
Quality floor: eliminate any model that cannot reliably complete the task, regardless of price.
02
Operating constraint: compare real context, throughput, privacy, and deployment requirements.
03
Total cost: calculate the full prompt/output mix and account for retries, caching, and routing.