GPT-6.1 Terra — Specifications
Rédigé par Mustafa Ihsan d’après la documentation officielle du fournisseur · Dernière mise à jour
| Développeur | OpenAI |
|---|---|
| Type | Raisonnement / agentic |
| Modalité | Texte, vision |
| Paramètres | Non divulgué |
| Fenêtre de contexte | 1,05 million |
| Sortie maximale | 128 K |
| Licence | Propriétaire |
| Poids ouverts | Non |
| Publié | 2026-10 |
| Prix de l’entrée | $1.00 /1M |
| Prix de la sortie | $5.00 /1M |
| Fournisseurs d'API | OpenAI API, Microsoft Azure, AWS Bedrock |
Résultats de référence
| 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. Selon 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).
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 Calculateur de coûts pour les API IA.
GPT-6.1 Terra pricing: API cost per 1M tokens
| Entrée (par million de jetons) | $1.00 |
|---|---|
| Sortie (par million de jetons) | $5.00 |
| Ratio sortie/entrée | 5× |
| Moyenne pondérée (4:1 entrée:sortie) | $1.80 par 1 million de jetons |
What GPT-6.1 Terra costs per month
Dépense mensuelle réelle pour un ratio entrée-sortie de 4:1 — le rapport effectivement observé dans une charge de travail type (chat ou RAG).
| Charge de travail | Jetons/mois | Coût par mois |
|---|---|---|
| Projet secondaire | 1 million en entrée / 0,25 million en sortie | $2.25 |
| Petite équipe | 20 millions en entrée / 5 millions en sortie | $45 |
| Production | 200 millions en entrée / 50 millions en sortie | $450 |
Calculez vos propres coûts dans le Calculateur de coûts pour les API IA.
Cheaper alternatives to GPT-6.1 Terra
| Modèle | Coût combiné par million de dollars | Vous économisez |
|---|---|---|
| Llama 3.1 8B ouverte | $0.0240 | 99 % moins cher |
| Mistral NeMo 12B ouverte | $0.0292 | 98% cheaper |
| Gemma 3 4B ouverte | $0.0600 | 97 % moins cher |
Questions fréquemment posées
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.
Les prix indiqués correspondent aux tarifs publics officiels pour l’API principale du modèle et sont mis à jour régulièrement à mesure que les fournisseurs les modifient. Les remises liées aux volumes, aux traitements par lots ou aux entrées mises en cache ne sont pas prises en compte. Comparez tous les modèles côte à côte dans le Base de données des modèles IA ou le Classement des grands modèles linguistiques (LLM).