GPT-6.1 Terra — Specifications
Zusammengestellt von Mustafa Ihsan aus der Dokumentation des Herstellers · Zuletzt aktualisiert
| Entwickler | OpenAI |
|---|---|
| Typ | Schlussfolgern / agentenbasiert |
| Modality | Text, Vision |
| Parameter | Nicht offengelegt |
| Kontextfenster | 1,05 Mio. |
| Maximale Ausgabe | 128 K |
| Lizenz | Proprietär |
| Offene Gewichte | Nein |
| Veröffentlicht | 2026-10 |
| Eingabepreis | $1.00 /1M |
| Ausgabepreis | $5.00 /1M |
| API-Anbieter | OpenAI API, Microsoft Azure, AWS Bedrock |
Benchmark-Ergebnisse
| 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. Laut 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 Preisseite von 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 KI-API-Kostenrechner.
GPT-6.1 Terra pricing: API cost per 1M tokens
| Eingabe (pro 1 Mio. Token) | $1.00 |
|---|---|
| Ausgabe (pro 1 Mio. Token) | $5.00 |
| Verhältnis Output/Input | 5× |
| Gemischt (4:1 Input:Output) | $1.80 pro 1 Mio. Tokens |
What GPT-6.1 Terra costs per month
Tatsächliche monatliche Ausgaben bei einem 4:1-Input-zu-Output-Mix – dem Verhältnis, das typische Chat- oder RAG-Arbeitslasten tatsächlich erzeugen.
| Workload | Tokens/Monat | Kosten pro Monat |
|---|---|---|
| Nebenprojekt | 1 Mio. Eingabe / 0,25 Mio. Ausgabe | $2.25 |
| Kleines Team | 20 Mio. Eingabe / 5 Mio. Ausgabe | $45 |
| Produktion | 200 Mio. Eingabe / 50 Mio. Ausgabe | $450 |
Stellen Sie Ihre eigenen Berechnungen im KI-API-Kostenrechner.
Cheaper alternatives to GPT-6.1 Terra
| Modell | Gewichteter Preis pro Million US-Dollar | Sie sparen |
|---|---|---|
| Llama 3.1 8B offenere | $0.0240 | 99 % günstiger |
| Mistral NeMo 12B offenere | $0.0292 | 98% cheaper |
| Gemma 3 4B offenere | $0.0600 | 97% günstiger |
Häufig gestellte Fragen
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.
Die Preise entsprechen den offiziell veröffentlichten Listenpreisen für die primäre API des jeweiligen Modells und werden regelmäßig aktualisiert, sobald Anbieter diese ändern. Volumen-, Batch- und Cached-Input-Rabatte sind nicht enthalten. Vergleichen Sie alle Modelle nebeneinander im Datenbank für KI-Modelle oder das LLM-Leaderboard.