GPT-6.1 Terra — Specifications
Compilato da Mustafa Ihsan dalla documentazione pubblicata del fornitore · Ultimo aggiornamento
| Sviluppatore | OpenAI |
|---|---|
| Tipo | Ragionamento / agenziale |
| Modalità | Testo, visione |
| Parametri | Non divulgato |
| Finestra contestuale | 1,05 milioni |
| Output massimo | 128K |
| Licenza | Proprietaria |
| Pesi aperti | No |
| Pubblicato | 2026-10 |
| Prezzo dell’input | $1.00 /1M |
| Prezzo dell’output | $5.00 /1M |
| Provider API | OpenAI API, Microsoft Azure, AWS Bedrock |
Benchmark
| OpenAI-reported | Terminal-Bench 4.0 50.3% at max reasoning effort (GPT-5.6 Terra: 21.5%). |
|---|
What is GPT-6.1 Terra?
GPT-6.1 Terra is OpenAI’s fast, efficient model for visual reasoning, precise computer use and clear, natural writing, released on 26 October 2026 and listed among the four flagship models on OpenAI’s API. Secondo OpenAI, it is a significant step up from GPT-5.6 Terra, and its standard API prices are 50% lower than those of GPT-5.6 Terra and GPT-6.1 Sol. The model page lists a 1,050,000-token context window, up to 922,000 input tokens, up to 128,000 output tokens, text and image input, a 1 June 2026 knowledge cutoff and reasoning effort from none to max (default medium).
Standard pricing is $1 per million input tokens, $0.05 for cached input and $5 per million output tokens. Prompts above 272K input tokens are billed for the full request at $2, $0.10 and $7.50. Batch and Flex cost half the Standard rates ($0.50 / $0.025 / $2.50, or $1 input and $3.75 output at long context), Fast mode costs double, and regional processing adds 10% where available (see OpenAI’s pricing page).
OpenAI made it available to Plus, Pro, Enterprise and Edu users in ChatGPT Work and Codex; its release notes say it is not offered in Chat. Developers call it as gpt-6.1-terra in the OpenAI API, and Amazon Bedrock and Microsoft Foundry list it; Google Cloud access is a private preview that has to be requested. OpenAI says GPT-6.1 Sol ($2 / $10) and GPT-6 Astra remain the better choice for the most complex coding, while GPT-6 Luna is its most efficient model for high-volume tasks. Estimate a monthly bill with the Calcolatore dei costi delle API per l'IA.
GPT-6.1 Terra pricing: API cost per 1M tokens
| Input (per ogni milione di token) | $1.00 |
|---|---|
| Output (per ogni milione di token) | $5.00 |
| Rapporto output/input | 5× |
| Combinato (4:1 in:out) | $1.80 per 1 milione di token |
What GPT-6.1 Terra costs per month
Spesa mensile reale con un mix input-to-output 4:1 — il rapporto effettivamente prodotto da un tipico carico di lavoro basato su chat o RAG.
| Carico di lavoro | Token/mese | Costo/mese |
|---|---|---|
| Progetto secondario | 1 milione in ingresso / 0,25 milioni in uscita | $2.25 |
| Piccolo team | 20 milioni in ingresso / 5 milioni in uscita | $45 |
| Produzione | 200 milioni in ingresso / 50 milioni in uscita | $450 |
Calcola i tuoi numeri personalizzati nel Calcolatore dei costi delle API per l'IA.
Cheaper alternatives to GPT-6.1 Terra
| Modello | Costo combinato ($/1 milione) | Risparmi |
|---|---|---|
| Llama 3.1 8B aperta | $0.0240 | 99% più economico |
| Mistral NeMo 12B aperta | $0.0292 | 98% cheaper |
| Gemma 3 4B aperta | $0.0600 | 97% più economico |
Domande frequenti
How much does GPT-6.1 Terra cost per 1M tokens?
GPT-6.1 Terra costs $1.00 per 1M input tokens and $5.00 per 1M output tokens. At a typical 4:1 input-to-output mix that blends to about $1.80 per 1M tokens.
How much does GPT-6.1 Terra cost per month?
A small-team workload of 20M input and 5M output tokens a month costs about $45 on GPT-6.1 Terra. A side project (1M in / 0.25M out) costs roughly $2.25.
What is a cheaper alternative to GPT-6.1 Terra?
Llama 3.1 8B is the strongest cheaper option in our database at $0.0240 per 1M blended — about 99% less than GPT-6.1 Terra. It is also open-weight, so self-hosting is an option.
Can I run GPT-6.1 Terra locally?
No. GPT-6.1 Terra is a closed, API-only model — the weights are not released, so it cannot be self-hosted.
Why does GPT-6.1 Terra charge more for output than input?
Output tokens are generated one at a time and cannot be batched the way a prompt can, so they cost the provider more to serve. GPT-6.1 Terra charges 5× more for output, which is why prompt-heavy workloads are far cheaper to run than generation-heavy ones.
I prezzi indicati sono le tariffe ufficiali pubblicate per l'API principale del modello e vengono aggiornati man mano che i fornitori li modificano. Sconti per volumi elevati, elaborazione batch e input memorizzati nella cache non sono inclusi. Confronta tutti i modelli fianco a fianco nel database dei modelli AI o il Classifica LLM.