GPT-5.6 Terra Pro
gpt-5.6-terra-progpt-56-terra-proGPT5.6-Terra-Proopenai-gpt-56-terra-pro- 🏢 OpenAI's GPT-5.6 Terra, served with reasoning mode set to Pro.
- 🆕 Part of the GPT-5.6 Sol/Terra/Luna tiered lineup.
- 📏 Handles up to a 1,000,000-token context window.
- 🧠 Extended compute for higher-quality responses on complex tasks.
- 👁️ Supports vision, function calling, and built-in web search.
- 🎯 Reasoning effort scales the quality of Pro-mode responses.
- 📚 A higher pricing tier applies above 272K input tokens.
OpenAI is an American artificial intelligence research organization headquartered in San Francisco, structured as both a for-profit public benefit corporation and a nonprofit foundation. The lab developed the GPT family of large language models, the DALL-E image generation…
Explore 22 more models by OpenAI →GPT-5.6 Terra Pro, released in July 2026, is the Pro-served variant of [[sibling:openai-gpt-56-terra|GPT-5.6 Terra]], OpenAI's balanced mid-tier model. Per the catalog description, it is the same underlying model as Terra but run with reasoning mode set to Pro, using more compute to produce higher-quality answers on complex tasks. It carries a one-million-token context window and supports reasoning, vision, function calling, and web search.
Within the GPT-5.6 family, OpenAI uses a tiered naming scheme where the number denotes the generation and the name denotes the capability tier: [[sibling:openai-gpt-56-sol|GPT-5.6 Sol]], [[sibling:openai-gpt-56-terra|GPT-5.6 Terra]], and [[sibling:openai-gpt-56-luna|GPT-5.6 Luna]]. The Pro layer adds an extended-compute option to each tier, much as [[sibling:openai-gpt-56-sol-pro|GPT-5.6 Sol Pro]] and [[sibling:openai-gpt-56-luna-pro|GPT-5.6 Luna Pro]] do for theirs.
Compared with the earlier-generation [[sibling:openai-gpt-55-pro|GPT-5.5 Pro]], the Pro concept is consistent — spending more inference compute to think harder for more reliable answers. OpenAI's Terra model documentation notes tiered pricing in which prompts above 272K input tokens are billed at higher rates.
OpenAI has not published detailed public benchmark figures for the Pro runs, so quantitative comparisons against predecessors remain limited from primary sources.
This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.
| Seller | Reputation↓ | Routing | Input $/M | Cached $/M | Output $/M | Categories | API |
|---|---|---|---|---|---|---|---|
| Venice.ai Proxy 0x1f22…18c9 | 99 | #2 | $1.5625 | $0.1563 | $9.375 | chat,reasoning,vision,multimodal,web-search | openai-chat-completions |
| ▲ Apex Ant 0x73b4…e736 | 83 | #1 | $1.4063 | $0.1406 | $8.4375 | chat,premium,frontier,writing,tasks,coding,creative,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
| Fire Ant 🔥🐜 0xbe05…bc5d | 37 | gated | $2.7541 | $0.2754 | $16.5243 | chat | — |
| StrataCode 0x6f9b…befe | 25 | gated | $2.60 | $2.60 | $15.10 | chat,coding,json,reasoning,tools | openai-chat-completions |
| antseed-opal-badger-2580 0xc85d…2580 | 2 | gated | $1.5625 | $1.5625 | $9.375 | chat | openai-chat-completions |
| Apex TEE Test 0xe672…7955 | 0 | gated | $0.891 | $0.1406 | $5.346 | chat,premium,frontier,writing,tasks,coding,creative,vision,multimodal,reasoning,long-context,agents | openai-chat-completions |
"Best price" and the seller table are live AntSeed catalog data (advertised $/1M tokens — or $ per generated image for unit-billed image models — not settled amounts). Reputation = on-chain trust (0-100). "Routing" = the SDK's default buyer routing (what the VPR desktop app ships with): a trust ≥ 60 gate on the effective reputation, then cheapest-first among routable sellers; live failover state (per-peer cooldowns) is buyer-side runtime and not included. Model knowledge (TLDR, provider, About) via the VeniceStats enrichment layer. Advertised catalog, not the model used in any specific purchase. "Usage on AntSeed" counts only settlements whose buyers share the per-model split on-chain (metadata v2/v3, opt-in), so every usage figure is a lower bound.